feat: complete marketing command center with pipeline, UI, and asset generation

- Dashboard with campaign management, asset gallery, and publishing queue
- 7-agent pipeline: trend scout, research, scripts, ad creative, video, copy, distribution
- Campaign form with screenshot upload, goal picker, platform selection
- Campaign detail view with Details/Pipeline/Assets/Chat tabs
- Two-set image generation: Gemini AI (NanoBanana MCP) + Canvas Design posters
- Remotion video rendering with phone.png frame and real screenshot alignment
- honeyDue branding: blue #0079FF, orange #FF9400, Inter font, warm off-white
- Asset cards with source badges (Gemini/Canvas/Remotion/Playwright)
- Markdown/JSON render endpoint for viewing pipeline outputs as HTML
- Settings page with Tavily, Gemini, Postiz, Nextdoor integration management
- Claude Chat for campaign feedback loop with streaming SSE
- Postiz publishing modal with scheduling
- Auth with NextAuth credentials + JWT sessions
- SQLite via Prisma with better-sqlite3 adapter

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Trey t
2026-03-23 21:05:26 -05:00
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{
"mcpServers": {
"nanobanana": {
"command": "npx",
"args": ["-y", "@ycse/nanobanana-mcp"],
"env": {
"GOOGLE_AI_API_KEY": "AIzaSyBp6a4aEhZsakgcjn19T1aqJBrJ4NKzvUM"
}
}
}
}
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# Marketing Content Pipeline
This project implements an AI-powered Social Media Content Automation System.
Seven specialized agents research, generate, render, and distribute marketing content.
# System Architecture
Seven agents running in sequence:
1. **Trend Scout** — trending content monitoring via Tavily
2. **Marketing Research Agent** — deep market research via Tavily
3. **Script Writer** — ad scripts from research output
4. **Ad Creative Designer** — static ads via NanoBanana MCP + Playwright
5. **Video Ad Producer** — video ads via Remotion
6. **Copywriter Agent** — platform-specific copy
7. **Distribution Agent** — publish manifest creation (gate-protected)
# Folder Structure
- `assets/` — brand images, logos, product shots (mood board)
- `knowledge/` — brand identity, platform guidelines, product/campaign info
- `skills/` — all 7 agent skills (each has SKILL.md)
- `outputs/` — generated content per campaign
- `remotion-ad/` — Remotion video project with compositions
# Knowledge Files (READ FIRST)
Every agent MUST read these before generating ANY content:
- `knowledge/brand_identity.md` — tone, voice, personality, CTA patterns
- `knowledge/platform_guidelines.md` — per-platform specs and formatting
- `knowledge/product_campaign.md` — product details, features, campaign direction
# Available Tools
## Tavily (Web Research)
Use `@tavily/core` npm package. Write a Node.js script to run searches:
```javascript
import { tavily } from "@tavily/core";
const client = tavily({ apiKey: process.env.TAVILY_API_KEY });
const result = await client.search("query", { maxResults: 10 });
```
The TAVILY_API_KEY is available in the environment.
## NanoBanana MCP (Image Generation)
Available as MCP tool: `mcp__nanobanana__generate_image`
Uses Google Gemini to generate images. Call it with a detailed prompt describing the desired image.
The GEMINI_API_KEY is configured in .mcp.json.
## Playwright (HTML to PNG)
Use Playwright to render HTML/CSS layouts to pixel-perfect PNG screenshots:
```javascript
import { chromium } from "playwright";
const browser = await chromium.launch();
const page = await browser.newPage();
await page.setViewportSize({ width: 1080, height: 1080 });
await page.setContent(htmlString);
await page.screenshot({ path: "output.png" });
await browser.close();
```
## Remotion (Video Rendering)
Video project is in `remotion-ad/`. Compositions are defined in `remotion-ad/src/`.
To render a video:
```bash
cd remotion-ad && npx remotion render src/index.ts CompositionId --output ../outputs/campaign/video/filename.mp4
```
You can modify or create new compositions in `remotion-ad/src/` before rendering.
# Pipeline Execution Order
trend-scout → research → script-writer → ad-creative → video-producer → copywriter → distribution
Each agent reads its SKILL.md from `skills/{agent-name}/SKILL.md` and follows it exactly.
# Output Convention
```
outputs/{task_name}_{YYYYMMDD}/
├── trend_report.json
├── research_results.json
├── research_brief.md
├── interactive_report.html
├── ads/
│ ├── instagram_feed_*.png (1080x1080)
│ ├── instagram_stories_*.png (1080x1920)
│ ├── nextdoor_spotlight_*.png (1200x1200)
│ ├── nextdoor_display_*.png (1200x628)
│ └── ad_manifest.json
├── scripts/
│ ├── scripts_all.json
│ └── scripts_summary.md
├── video/
│ ├── instagram_reel_*.mp4 (1080x1920)
│ ├── tiktok_ad_*.mp4 (1080x1920)
│ ├── nextdoor_video_*.mp4 (1080x1080)
│ └── scene_plans.json
├── copy/
│ ├── instagram_captions.json
│ ├── tiktok_captions.json
│ ├── nextdoor_posts.json
│ └── copy_matrix.json
└── Publish_manifest.md
```
# File Naming Convention
`{platform}_{format}_{hook_variant}_{dimensions}.{ext}`
Example: `instagram_feed_hook_a_1080x1080.png`
# Safety Rules
- No live API posting without explicit user approval
- Distribution agent creates a publish manifest — NEVER auto-publishes
- All media files must exist locally before creating the manifest
- Always save outputs to the specified output directory
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# Brand Identity: honeyDue
## 1. Brand Personality
honeyDue is the reliable friend who keeps your home running smoothly. We're organized, warm, and empowering — helping homeowners feel in control of their property without the stress.
Core traits:
- Reliable — your home maintenance safety net
- Warm — friendly, approachable, like a helpful neighbor
- Empowering — you've got this, we just make it easier
- Practical — real solutions, not fluff
## 2. Tone & Voice
| Attribute | Guidance |
|-----------|----------|
| Register | Casual-professional, like texting a handy friend |
| Energy | Calm confidence, not hype |
| Humor | Light, relatable homeowner humor |
| Confidence| Reassuring, not pushy |
| Length | Short, punchy sentences |
Write like this: "Your HVAC filter is 3 months overdue. We caught it so you don't have to."
Not like this: "Our application provides comprehensive home maintenance tracking capabilities."
## 3. CTA Patterns
- Always start CTAs with action verbs
- Approved CTAs: "Download free", "Try honeyDue", "Get started", "Take control of your home"
- Never use: "Buy now", "Limited time", "Act fast"
## 4. Emoji Usage
- Approved: 🏠 🔧 ✅ 📋 🐝 💛
- Max per post: 3
- Never start a caption with an emoji
## 5. Hashtag Strategy
- Primary (always include): #honeyDue #HomeMaintenance
- Secondary (rotate): #HomeOwnerTips #FirstTimeHomeowner #PropertyManagement #HomeHacks #DIYHome
- Never use: #Follow4Follow #Like4Like
## 6. Brand Colors
- Primary: #0079FF (bright blue)
- Accent: #FF9400 (orange)
- Background: warm off-white
- Cards: clean white with rounded corners
- Status colors: red (overdue), green (on track), blue (upcoming)
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# Platform Guidelines
## 1. Platform Overview
| Platform | Content Type | Primary Tone | Hashtags |
|----------|-------------|--------------|----------|
| Instagram | Feed posts, Stories, Reels | Polished, aspirational | Required (3-5) |
| TikTok | Short video ads | Raw, authentic, trend-driven | Required (3-5 trending) |
| Nextdoor | Neighborhood posts, display ads | Warm, local, neighborly | None |
## 2. Instagram
### Specs
| Format | Dimensions | Aspect Ratio |
|--------|-----------|--------------|
| Feed Post | 1080x1080 px | 1:1 |
| Story/Reel | 1080x1920 px | 9:16 |
### Caption Guidelines
- Hook in first line (before "more" truncation)
- Structure: Hook → Value → CTA → line break → Hashtags
- Max 2200 chars, aim for 150-300
## 3. TikTok
### Specs
| Format | Dimensions | Length |
|--------|-----------|--------|
| Video Ad | 1080x1920 px (9:16) | 9-15s sweet spot |
### Style Rules
- Raw, authentic feel (not polished brand ads)
- Bold text overlays, max 6 words per frame
- Hook in first 1-2 seconds
- Trending sounds when possible
## 4. Nextdoor
### Specs
| Format | Dimensions |
|--------|-----------|
| Spotlight Ad | 1200x1200 px |
| Display Ad | 1200x628 px |
### Style Rules
- Warm, community-focused tone
- No hashtags
- Reference local/neighborhood context
- CTA: "Learn More" or "Visit Us"
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# Product & Campaign Knowledge: honeyDue
## 1. Product Overview
| Attribute | Details |
|-----------|---------|
| Product Name | honeyDue |
| Category | Home Maintenance & Property Management |
| Target Audience | Homeowners 25-65, landlords, first-time buyers |
| Brand Positioning | The app that makes sure you never miss home maintenance again |
| Platforms | iOS (App Store), Android (Google Play) |
## 2. Key Features
| Feature | Benefit | Proof Point |
|---------|---------|-------------|
| Smart Task Tracking | Never forget HVAC filters, gutter cleaning, or any recurring task | Overdue alerts with priority levels (High/Medium/Low) |
| Multi-Property Support | Manage multiple homes from one dashboard | Property cards with task summaries at a glance |
| Household Sharing | Share maintenance duties with family or housemates | Join via share code, assign tasks |
| Contractor Management | Save plumber, electrician, HVAC tech contacts in one place | Link contractors to completed tasks |
| Task Completion History | Photo-document every repair with cost tracking | Generate PDF reports for insurance or home sales |
| Document & Warranty Storage | Store warranties, manuals, receipts | Track expiration dates, never lose a warranty |
| Smart Reminders | Push notifications before tasks are due | Customizable frequency: weekly, monthly, seasonal, custom |
## 3. Campaign Direction — Task Management Feature Launch
- Goal: Drive app downloads on iOS and Android
- Key message: Never miss home maintenance again. honeyDue tracks every task with smart reminders so nothing slips through the cracks.
- Social proof: Thousands of homeowners already trust honeyDue
- Visual direction: Clean & minimal — matches the app's bright, iOS-native design
- Hero screenshot: Tasks screen showing overdue items (HVAC filters, trash, Roomba care) with priority badges and action buttons
- Target: Homeowners 25-45 who forget tasks, busy parents, first-time buyers overwhelmed by upkeep
## 4. Competitive Advantages
- Beautiful, intuitive UI that feels native (not a clunky web wrapper)
- Multi-property + household sharing (competitors are single-user)
- Contractor management built in (competitors send you to Thumbtack)
- Photo documentation + PDF reports (for insurance claims and home sales)
- Free to use — no paywall for core features
## 5. Competitors
- Centriq — focuses on appliance manuals, not task management
- HomeZada — bloated, tries to do everything, confusing UI
- Thumbtack — finds contractors but doesn't track your maintenance schedule
## 6. Available Visual Assets
- assets/screenshots/tasks_overdue.png — Tasks screen showing overdue maintenance items with priority badges, action buttons, and completion counts
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{
"name": "marketing-pipeline",
"private": true,
"dependencies": {
"@tavily/core": "^0.7.2"
}
}
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{
"name": "remotion-ad",
"private": true,
"scripts": {
"studio": "remotion studio",
"render": "remotion render",
"upgrade": "remotion upgrade"
},
"dependencies": {
"@remotion/cli": "^4.0.0",
"@remotion/google-fonts": "^4.0.0",
"react": "^19.0.0",
"react-dom": "^19.0.0",
"remotion": "^4.0.0"
},
"devDependencies": {
"@types/react": "^19.0.0",
"typescript": "^5.0.0"
}
}
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import {
AbsoluteFill,
interpolate,
spring,
useCurrentFrame,
useVideoConfig,
} from "remotion";
interface AdProps {
style: "polished" | "authentic" | "local";
hookText: string;
bodyText: string;
ctaText: string;
proofText: string;
}
const STYLE_CONFIG = {
polished: {
bg: "#0f0f0f",
text: "#ffffff",
accent: "#6366f1",
fontFamily: "Inter, sans-serif",
},
authentic: {
bg: "#1a1a2e",
text: "#eee",
accent: "#e94560",
fontFamily: "system-ui, sans-serif",
},
local: {
bg: "#fef9ef",
text: "#2d3436",
accent: "#00b894",
fontFamily: "Georgia, serif",
},
};
export const AdComposition: React.FC<AdProps> = ({
style,
hookText,
bodyText,
ctaText,
proofText,
}) => {
const frame = useCurrentFrame();
const { fps, durationInFrames } = useVideoConfig();
const config = STYLE_CONFIG[style];
// Scene timing (in frames)
const hookEnd = Math.floor(durationInFrames * 0.2);
const bodyStart = hookEnd;
const bodyEnd = Math.floor(durationInFrames * 0.6);
const proofStart = bodyEnd;
const proofEnd = Math.floor(durationInFrames * 0.8);
const ctaStart = proofEnd;
// Animations
const hookOpacity = interpolate(frame, [0, 15, hookEnd - 10, hookEnd], [0, 1, 1, 0], {
extrapolateRight: "clamp",
});
const hookScale = spring({ frame, fps, config: { damping: 12 } });
const bodyOpacity = interpolate(
frame,
[bodyStart, bodyStart + 15, bodyEnd - 10, bodyEnd],
[0, 1, 1, 0],
{ extrapolateLeft: "clamp", extrapolateRight: "clamp" }
);
const proofOpacity = interpolate(
frame,
[proofStart, proofStart + 15, proofEnd - 10, proofEnd],
[0, 1, 1, 0],
{ extrapolateLeft: "clamp", extrapolateRight: "clamp" }
);
const ctaOpacity = interpolate(frame, [ctaStart, ctaStart + 15], [0, 1], {
extrapolateLeft: "clamp",
extrapolateRight: "clamp",
});
const ctaScale = spring({
frame: Math.max(0, frame - ctaStart),
fps,
config: { damping: 10, stiffness: 100 },
});
return (
<AbsoluteFill
style={{
backgroundColor: config.bg,
fontFamily: config.fontFamily,
display: "flex",
flexDirection: "column",
alignItems: "center",
justifyContent: "center",
padding: 80,
}}
>
{/* Hook */}
<div
style={{
position: "absolute",
top: "50%",
left: "50%",
transform: `translate(-50%, -50%) scale(${hookScale})`,
opacity: hookOpacity,
fontSize: 72,
fontWeight: 800,
color: config.text,
textAlign: "center",
lineHeight: 1.2,
maxWidth: "80%",
}}
>
{hookText}
</div>
{/* Body */}
<div
style={{
position: "absolute",
top: "50%",
left: "50%",
transform: "translate(-50%, -50%)",
opacity: bodyOpacity,
fontSize: 48,
fontWeight: 600,
color: config.text,
textAlign: "center",
lineHeight: 1.3,
maxWidth: "80%",
}}
>
{bodyText}
</div>
{/* Proof */}
<div
style={{
position: "absolute",
top: "50%",
left: "50%",
transform: "translate(-50%, -50%)",
opacity: proofOpacity,
fontSize: 36,
fontWeight: 500,
color: config.accent,
textAlign: "center",
}}
>
{proofText}
</div>
{/* CTA */}
<div
style={{
position: "absolute",
bottom: "15%",
left: "50%",
transform: `translateX(-50%) scale(${ctaScale})`,
opacity: ctaOpacity,
backgroundColor: config.accent,
color: "#fff",
fontSize: 32,
fontWeight: 700,
padding: "20px 60px",
borderRadius: 16,
textAlign: "center",
}}
>
{ctaText}
</div>
</AbsoluteFill>
);
};
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import {
AbsoluteFill,
Img,
interpolate,
spring,
useCurrentFrame,
useVideoConfig,
staticFile,
} from "remotion";
export interface HoneyDueAdProps {
platform: "instagram" | "tiktok";
hookText: string;
bodyText: string;
ctaText: string;
proofText: string;
screenshotSrc: string;
}
const COLORS = {
primary: "#0079FF",
accent: "#FF9400",
dark: "#1a1a2e",
light: "#f8f6f2",
white: "#ffffff",
red: "#FF3B30",
};
export const HoneyDueAd: React.FC<HoneyDueAdProps> = ({
platform,
hookText,
bodyText,
ctaText,
proofText,
screenshotSrc,
}) => {
const frame = useCurrentFrame();
const { fps, durationInFrames, width, height } = useVideoConfig();
const isPolished = platform === "instagram";
const bg = isPolished ? COLORS.dark : "#0d0d0d";
// Scene boundaries
const hookEnd = Math.floor(durationInFrames * 0.22);
const phoneStart = hookEnd;
const phoneEnd = Math.floor(durationInFrames * 0.6);
const proofStart = phoneEnd;
const proofEnd = Math.floor(durationInFrames * 0.78);
const ctaStart = proofEnd;
// === HOOK SCENE ===
const hookOpacity = interpolate(
frame,
[0, 10, hookEnd - 8, hookEnd],
[0, 1, 1, 0],
{ extrapolateRight: "clamp" }
);
const hookY = interpolate(frame, [0, 15], [40, 0], {
extrapolateRight: "clamp",
});
// === PHONE SCENE ===
const phoneScale = spring({
frame: Math.max(0, frame - phoneStart),
fps,
config: { damping: 14, stiffness: 80 },
});
const phoneOpacity = interpolate(
frame,
[phoneStart, phoneStart + 10, phoneEnd - 8, phoneEnd],
[0, 1, 1, 0],
{ extrapolateLeft: "clamp", extrapolateRight: "clamp" }
);
const bodyTextOpacity = interpolate(
frame,
[phoneStart + 20, phoneStart + 35],
[0, 1],
{ extrapolateLeft: "clamp", extrapolateRight: "clamp" }
);
// === PROOF SCENE ===
const proofOpacity = interpolate(
frame,
[proofStart, proofStart + 12, proofEnd - 8, proofEnd],
[0, 1, 1, 0],
{ extrapolateLeft: "clamp", extrapolateRight: "clamp" }
);
const proofScale = spring({
frame: Math.max(0, frame - proofStart),
fps,
config: { damping: 12 },
});
// === CTA SCENE ===
const ctaOpacity = interpolate(frame, [ctaStart, ctaStart + 12], [0, 1], {
extrapolateLeft: "clamp",
extrapolateRight: "clamp",
});
const ctaScale = spring({
frame: Math.max(0, frame - ctaStart),
fps,
config: { damping: 10, stiffness: 100 },
});
// Pulse the CTA button
const ctaPulse =
frame > ctaStart + 20
? 1 + 0.03 * Math.sin((frame - ctaStart - 20) * 0.15)
: 1;
const phoneWidth = width * 0.55;
const phoneHeight = phoneWidth * 2.05;
return (
<AbsoluteFill
style={{
backgroundColor: bg,
fontFamily:
'-apple-system, BlinkMacSystemFont, "SF Pro Display", "Inter", sans-serif',
}}
>
{/* Subtle gradient overlay */}
<div
style={{
position: "absolute",
inset: 0,
background: `radial-gradient(ellipse at 50% 30%, ${COLORS.primary}15 0%, transparent 60%)`,
}}
/>
{/* === HOOK === */}
<div
style={{
position: "absolute",
top: "38%",
left: "50%",
transform: `translate(-50%, -50%) translateY(${hookY}px)`,
opacity: hookOpacity,
width: "85%",
textAlign: "center",
}}
>
<div
style={{
fontSize: 68,
fontWeight: 800,
color: COLORS.white,
lineHeight: 1.15,
letterSpacing: -1,
}}
>
{hookText}
</div>
</div>
{/* === PHONE + BODY TEXT === */}
<div
style={{
position: "absolute",
top: "8%",
left: "50%",
transform: `translateX(-50%) scale(${phoneScale})`,
opacity: phoneOpacity,
display: "flex",
flexDirection: "column",
alignItems: "center",
gap: 30,
}}
>
{/* Body text above phone */}
<div
style={{
opacity: bodyTextOpacity,
fontSize: 36,
fontWeight: 600,
color: COLORS.white,
textAlign: "center",
maxWidth: width * 0.8,
lineHeight: 1.3,
}}
>
{bodyText}
</div>
{/* Phone mockup — real phone.png frame over screenshot */}
<div
style={{
width: phoneWidth,
height: phoneHeight,
position: "relative",
filter: "drop-shadow(0 30px 60px rgba(0,0,0,0.5))",
}}
>
{/* Screenshot behind the frame — clipped to screen area */}
<div
style={{
position: "absolute",
top: "3.2%",
left: "4.2%",
width: "91.6%",
height: "93.6%",
borderRadius: phoneWidth * 0.065,
overflow: "hidden",
}}
>
<Img
src={screenshotSrc}
style={{
width: "100%",
height: "100%",
objectFit: "cover",
objectPosition: "top center",
}}
/>
</div>
{/* Phone frame on top */}
<Img
src={staticFile("phone.png")}
style={{
position: "absolute",
top: 0,
left: 0,
width: "100%",
height: "100%",
objectFit: "contain",
}}
/>
</div>
</div>
{/* === PROOF === */}
<div
style={{
position: "absolute",
top: "42%",
left: "50%",
transform: `translate(-50%, -50%) scale(${proofScale})`,
opacity: proofOpacity,
textAlign: "center",
}}
>
<div
style={{
fontSize: 44,
fontWeight: 700,
color: COLORS.accent,
marginBottom: 16,
}}
>
{proofText}
</div>
<div
style={{
fontSize: 28,
fontWeight: 500,
color: "rgba(255,255,255,0.7)",
}}
>
Join thousands of homeowners
</div>
</div>
{/* === CTA === */}
<div
style={{
position: "absolute",
inset: 0,
display: "flex",
flexDirection: "column",
alignItems: "center",
justifyContent: "center",
opacity: ctaOpacity,
transform: `scale(${ctaScale})`,
gap: 40,
}}
>
{/* Brand name header */}
<div
style={{
fontSize: 56,
fontWeight: 800,
color: COLORS.white,
letterSpacing: -1,
textAlign: "center",
}}
>
honeyDue
</div>
{/* Icon — 50% of canvas width, centered */}
<Img
src={staticFile("icon.png")}
style={{
width: width * 0.5,
height: "auto",
borderRadius: 32,
}}
/>
{/* CTA button */}
<div
style={{
backgroundColor: COLORS.primary,
color: COLORS.white,
fontSize: 36,
fontWeight: 700,
padding: "24px 72px",
borderRadius: 20,
textAlign: "center",
boxShadow: `0 8px 32px ${COLORS.primary}80`,
transform: `scale(${ctaPulse})`,
}}
>
{ctaText}
</div>
</div>
</AbsoluteFill>
);
};
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import { Composition, staticFile } from "remotion";
import { HoneyDueAd } from "./HoneyDueAd";
const SCREENSHOT = staticFile("tasks_overdue.png");
// 15s @ 30fps for Instagram, 12s for TikTok
const IG_FRAMES = 450;
const TT_FRAMES = 360;
export const RemotionRoot: React.FC = () => {
return (
<>
{/* === GEMINI AD VIDEOS === */}
<Composition
id="Gemini-IG-Feed-Cost"
component={HoneyDueAd}
durationInFrames={IG_FRAMES}
fps={30}
width={1080}
height={1920}
defaultProps={{
platform: "instagram" as const,
hookText: "A $10 filter.\nA $4,200 repair.",
bodyText: "honeyDue tracks every task so you never skip the small stuff.",
ctaText: "Download Free",
proofText: "Trusted by thousands of homeowners",
screenshotSrc: SCREENSHOT,
}}
/>
<Composition
id="Gemini-IG-Stories-FirstTimer"
component={HoneyDueAd}
durationInFrames={IG_FRAMES}
fps={30}
width={1080}
height={1920}
defaultProps={{
platform: "instagram" as const,
hookText: "Just bought my first house.\nNobody told me about all this.",
bodyText: "This app tells you what to fix and when.",
ctaText: "Try honeyDue",
proofText: "First-time homeowners love this",
screenshotSrc: SCREENSHOT,
}}
/>
<Composition
id="Gemini-TT-SilentTodo"
component={HoneyDueAd}
durationInFrames={TT_FRAMES}
fps={30}
width={1080}
height={1920}
defaultProps={{
platform: "tiktok" as const,
hookText: "Your house has a\nhidden to-do list.",
bodyText: "HVAC filters. Gutters. Water heater. honeyDue sees it all.",
ctaText: "Get Started Free",
proofText: "Never miss maintenance again",
screenshotSrc: SCREENSHOT,
}}
/>
<Composition
id="Gemini-TT-Forgetter"
component={HoneyDueAd}
durationInFrames={TT_FRAMES}
fps={30}
width={1080}
height={1920}
defaultProps={{
platform: "tiktok" as const,
hookText: "I forgot for 2 years.",
bodyText: "honeyDue would have reminded me 8 times by now.",
ctaText: "Download Free",
proofText: "Your home maintenance safety net",
screenshotSrc: SCREENSHOT,
}}
/>
{/* === CANVAS POSTER VIDEOS === */}
<Composition
id="Poster-IG-Feed-Cost"
component={HoneyDueAd}
durationInFrames={IG_FRAMES}
fps={30}
width={1080}
height={1920}
defaultProps={{
platform: "instagram" as const,
hookText: "A $10 filter.\nA $4,200 repair.",
bodyText: "The difference between a reminder and a disaster.",
ctaText: "Download Free",
proofText: "Join thousands of organized homeowners",
screenshotSrc: SCREENSHOT,
}}
/>
<Composition
id="Poster-IG-Stories-FirstHouse"
component={HoneyDueAd}
durationInFrames={IG_FRAMES}
fps={30}
width={1080}
height={1920}
defaultProps={{
platform: "instagram" as const,
hookText: "Just bought my first house.",
bodyText: "100+ maintenance tasks. One app to track them all.",
ctaText: "Try honeyDue",
proofText: "Built for first-time homeowners",
screenshotSrc: SCREENSHOT,
}}
/>
<Composition
id="Poster-TT-HiddenTodo"
component={HoneyDueAd}
durationInFrames={TT_FRAMES}
fps={30}
width={1080}
height={1920}
defaultProps={{
platform: "tiktok" as const,
hookText: "Your house has a\nhidden to-do list.",
bodyText: "Filters. Gutters. Drains. Vents. honeyDue tracks all of it.",
ctaText: "Get Started Free",
proofText: "See what you've been missing",
screenshotSrc: SCREENSHOT,
}}
/>
<Composition
id="Poster-TT-HVAC2Years"
component={HoneyDueAd}
durationInFrames={TT_FRAMES}
fps={30}
width={1080}
height={1920}
defaultProps={{
platform: "tiktok" as const,
hookText: "I forgot my HVAC filter\nfor 2 years.",
bodyText: "That's 8 missed reminders honeyDue would have sent.",
ctaText: "Download Free",
proofText: "Never forget again",
screenshotSrc: SCREENSHOT,
}}
/>
</>
);
};
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import { registerRoot } from "remotion";
import { RemotionRoot } from "./Root";
registerRoot(RemotionRoot);
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{
"compilerOptions": {
"target": "ES2022",
"module": "ES2022",
"moduleResolution": "bundler",
"jsx": "react-jsx",
"strict": true,
"skipLibCheck": true,
"esModuleInterop": true
},
"include": ["src"]
}
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import { tavily } from "@tavily/core";
import { writeFileSync, mkdirSync } from "fs";
import { join } from "path";
const OUTPUT_DIR = join(
import.meta.dirname,
"..",
"outputs",
"task_management_feature_launch_20260323"
);
const queries = [
"home maintenance app download conversion strategies app store optimization 2026",
"homeowner forgot maintenance costly repair stories real examples",
"mobile app Instagram Reels ad creative best practices high CTR 2026",
"TikTok home improvement property management app ads that convert",
"millennial first time homeowner maintenance anxiety solutions apps",
];
async function runResearch() {
const client = tavily({ apiKey: process.env.TAVILY_API_KEY });
const results = [];
for (const query of queries) {
console.log(`Researching: "${query}"`);
try {
const response = await client.search(query, {
searchDepth: "advanced",
maxResults: 10,
});
results.push({
query,
timestamp: new Date().toISOString(),
resultCount: response.results.length,
results: response.results.map((r) => ({
title: r.title,
url: r.url,
content: r.content,
score: r.score,
})),
});
console.log(`${response.results.length} results`);
} catch (err) {
console.error(` ✗ Error for "${query}": ${err.message}`);
results.push({
query,
timestamp: new Date().toISOString(),
resultCount: 0,
results: [],
error: err.message,
});
}
}
const output = {
generatedAt: new Date().toISOString(),
agent: "marketing-research",
campaign: "task_management_feature_launch",
queryCount: queries.length,
queries,
results,
};
mkdirSync(OUTPUT_DIR, { recursive: true });
const outPath = join(OUTPUT_DIR, "research_results.json");
writeFileSync(outPath, JSON.stringify(output, null, 2));
console.log(`\nSaved: ${outPath}`);
}
runResearch();
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import { tavily } from "@tavily/core";
import { writeFileSync } from "fs";
const client = tavily({ apiKey: process.env.TAVILY_API_KEY });
const OUTPUT_DIR = "/Users/treyt/Desktop/code/claude_marketing/pipeline/outputs/task_management_feature_launch_20260323";
const queries = [
{
query_id: 1,
query_name: "Industry Trends & Market Landscape",
search_terms: "home maintenance app market trends 2025 2026 property management software homeowners smart home task tracking reminders growth",
options: {
searchDepth: "advanced",
maxResults: 10,
topic: "news",
days: 30,
excludeDomains: ["pinterest.com", "etsy.com"]
}
},
{
query_id: 2,
query_name: "Competitor Analysis",
search_terms: "Centriq app vs HomeZada vs Thumbtack home maintenance tracking app features pricing reviews marketing 2025 2026",
options: {
searchDepth: "advanced",
maxResults: 10,
topic: "general",
includeDomains: ["centriq.com", "homezada.com", "thumbtack.com", "techcrunch.com", "producthunt.com", "g2.com", "capterra.com"],
excludeDomains: ["pinterest.com"]
}
},
{
query_id: 3,
query_name: "Audience Pain Points & Conversations",
search_terms: "homeowner forgot HVAC filter change maintenance tasks overwhelmed home upkeep checklist first time homebuyer maintenance schedule busy parents household chores",
options: {
searchDepth: "advanced",
maxResults: 10,
topic: "general",
includeDomains: ["reddit.com", "twitter.com", "quora.com", "houzz.com"],
excludeDomains: ["pinterest.com"]
}
},
{
query_id: 4,
query_name: "High-Performing Hooks & Ad Copy",
search_terms: "best performing mobile app ad hooks 2025 2026 home productivity app Instagram TikTok ad copy examples high engagement task management app marketing download conversion",
options: {
searchDepth: "advanced",
maxResults: 10,
topic: "general",
excludeDomains: ["pinterest.com", "etsy.com"]
}
},
{
query_id: 5,
query_name: "Viral Content & Cultural Moments",
search_terms: "viral home maintenance TikTok homeowner hack spring cleaning 2026 home organization trending content adulting homeownership meme cleaning routine",
options: {
searchDepth: "advanced",
maxResults: 10,
topic: "news",
days: 14,
excludeDomains: ["pinterest.com"]
}
}
];
async function runQueries() {
const results = [];
for (const q of queries) {
console.log(`Executing query ${q.query_id}: ${q.query_name}...`);
try {
const response = await client.search(q.search_terms, q.options);
results.push({
query_id: q.query_id,
query_name: q.query_name,
search_terms: q.search_terms,
results_count: response.results ? response.results.length : 0,
results: response.results || [],
answer: response.answer || null
});
console.log(` -> Got ${response.results ? response.results.length : 0} results`);
} catch (err) {
console.error(` -> Error on query ${q.query_id}: ${err.message}`);
results.push({
query_id: q.query_id,
query_name: q.query_name,
search_terms: q.search_terms,
results_count: 0,
results: [],
error: err.message
});
}
}
writeFileSync(`${OUTPUT_DIR}/raw_research_results.json`, JSON.stringify(results, null, 2));
console.log(`\nRaw results saved to ${OUTPUT_DIR}/raw_research_results.json`);
}
runQueries();
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import { tavily } from "@tavily/core";
import { writeFileSync } from "fs";
const client = tavily({ apiKey: process.env.TAVILY_API_KEY });
const queries = [
{
name: "trending_hooks",
query: "trending social media hooks productivity apps 2026 viral opening lines scroll-stopping techniques instagram tiktok",
options: { topic: "news", days: 7, maxResults: 10 }
},
{
name: "competitor_ads",
query: "productivity app ad campaigns 2026 Notion Todoist TickTick Any.do advertising strategy messaging",
options: { topic: "news", days: 7, maxResults: 10, searchDepth: "advanced" }
},
{
name: "viral_formats",
query: "viral content formats instagram reels tiktok 2026 trending templates transitions app promotion",
options: { topic: "news", days: 7, maxResults: 10, searchDepth: "advanced" }
},
{
name: "audience_pain_points",
query: "productivity app complaints wishlist 2026 professionals time management frustrations reddit reviews",
options: { topic: "news", days: 7, maxResults: 10 }
},
{
name: "seasonal_timely",
query: "upcoming events March April 2026 productivity awareness days professional development seasonal marketing moments",
options: { topic: "news", days: 14, maxResults: 10 }
}
];
async function runSearches() {
const results = {};
for (const q of queries) {
console.log(`Searching: ${q.name}...`);
try {
const res = await client.search(q.query, q.options);
results[q.name] = res.results || [];
console.log(`${results[q.name].length} results`);
} catch (err) {
console.error(` → Error: ${err.message}`);
results[q.name] = [];
}
}
writeFileSync(
"/Users/treyt/Desktop/code/claude_marketing/pipeline/outputs/test_campaign_e2e_20260323/raw_search_results.json",
JSON.stringify(results, null, 2)
);
console.log("Done. Raw results saved.");
}
runSearches();
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import { tavily } from "@tavily/core";
import { writeFileSync } from "fs";
const client = tavily({ apiKey: process.env.TAVILY_API_KEY });
async function runSearches() {
const searches = [
{
name: "trending_hooks",
query: "trending social media hooks home maintenance app 2026 viral opening lines scroll-stopping Instagram TikTok",
options: { maxResults: 10, topic: "news", days: 7 }
},
{
name: "competitor_ads",
query: "Centriq HomeZada Thumbtack home maintenance app ad campaign marketing 2026",
options: { maxResults: 10, searchDepth: "advanced", days: 14 }
},
{
name: "viral_formats",
query: "viral content formats Instagram Reels TikTok 2026 trending templates transitions video styles March",
options: { maxResults: 10, topic: "news", days: 7 }
},
{
name: "audience_pain_points",
query: "homeowner maintenance tasks forgotten complaints overwhelmed home upkeep HVAC filter reminders Reddit 2026",
options: { maxResults: 10, searchDepth: "advanced", days: 14 }
},
{
name: "seasonal_angles",
query: "spring home maintenance checklist 2026 April seasonal homeowner tasks events awareness days",
options: { maxResults: 10, topic: "news", days: 14 }
}
];
const results = {};
for (const search of searches) {
console.log(`\nSearching: ${search.name}...`);
try {
const result = await client.search(search.query, search.options);
results[search.name] = result.results;
console.log(` Found ${result.results.length} results`);
} catch (err) {
console.error(` Error: ${err.message}`);
results[search.name] = [];
}
}
writeFileSync(
"/Users/treyt/Desktop/code/claude_marketing/pipeline/outputs/task_management_feature_launch_20260323/raw_search_results.json",
JSON.stringify(results, null, 2)
);
console.log("\nAll searches complete. Raw results saved.");
}
runSearches();
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---
name: ad-creative-designer
description: >
Static image ad designer agent. Generates ad creatives for Instagram (1080x1080 feed,
1080x1920 stories), and Nextdoor (1200x1200 spotlight, 1200x628 display). Uses NanoBanana
MCP for AI image generation and Playwright for HTML-to-PNG rendering. Typography scale:
72px headline, 36px subtext, 12px CTA. Outputs production-ready PNG files.
---
# Ad Creative Designer Agent
## Purpose
You are the Ad Creative Designer — the fourth agent in the pipeline. You take the scripts
and research output and produce static image ads for Instagram and Nextdoor. You combine
AI-generated imagery (via NanoBanana MCP) with precise HTML/CSS layouts rendered to PNG
(via Playwright). Your ads must be visually striking, on-brand, and sized exactly to
platform specifications.
## CRITICAL — Read Knowledge Files First
Before designing ANY ads, you MUST read these files and internalize their contents:
1. `knowledge/brand_identity.md` — tone, voice, CTA patterns, emoji rules, brand personality
2. `knowledge/platform_guidelines.md` — exact dimensions, aspect ratios, platform-specific rules
3. `knowledge/product_campaign.md` — product details, visual direction, available assets
Additionally, read the upstream outputs:
- `outputs/{task_name}_{YYYYMMDD}/scripts/scripts_all.json` — scripts with hooks and CTAs
- `outputs/{task_name}_{YYYYMMDD}/scripts/scripts_summary.md` — script rankings and recommendations
- `outputs/{task_name}_{YYYYMMDD}/research_brief.md` — campaign strategy context
Do NOT begin design work until all knowledge files are read. Ads without brand alignment
will need to be redone.
## Ad Configurations
### Platform Dimensions
| Platform | Format | Width | Height | Aspect Ratio | Use Case |
|----------|--------|-------|--------|--------------|----------|
| Instagram | Feed Post | 1080 | 1080 | 1:1 | Feed ads, carousel slides |
| Instagram | Story/Reel | 1080 | 1920 | 9:16 | Stories, Reels cover |
| Nextdoor | Spotlight | 1200 | 1200 | 1:1 | Spotlight ads |
| Nextdoor | Display | 1200 | 628 | ~1.91:1 | Display/banner ads |
### Typography Scale
| Element | Font Size | Weight | Usage |
|---------|-----------|--------|-------|
| Headline | 72px | Bold (700) | Primary hook text |
| Subtext | 36px | Regular (400) | Supporting value proposition |
| CTA | 12px | Semi-bold (600) | Call-to-action button/text |
| Fine Print | 10px | Light (300) | Legal, disclaimers (if needed) |
### Color Guidelines
Derive colors from the brand identity. Ensure:
- Minimum 4.5:1 contrast ratio for text on backgrounds (WCAG AA)
- CTA buttons have high contrast against the ad background
- Consistent color palette across all ad variants
## Workflow
### Step 1: Plan Ad Variants
Based on the scripts and rankings, determine which scripts to produce as static ads.
At minimum, produce:
- 2 Instagram feed ads (1080x1080) — top-ranked IG hooks
- 2 Instagram story ads (1080x1920) — adapted from top IG hooks
- 1 Nextdoor spotlight ad (1200x1200) — top-ranked Nextdoor hook
- 1 Nextdoor display ad (1200x628) — adapted from top Nextdoor hook
For each ad, document:
- Which script/hook it is based on
- Headline text (from hook)
- Subtext (from body, condensed)
- CTA text (from script CTA)
- Visual direction (from product_campaign.md)
- Background concept (AI-generated or brand asset)
### Step 2: Generate Background Images (NanoBanana MCP)
Use the NanoBanana MCP tool to generate background images for ads.
For each ad variant:
1. Write a detailed image generation prompt that includes:
- Visual style (clean, bold, minimal, vibrant — from campaign direction)
- Subject matter (product-related imagery)
- Color palette (from brand identity)
- Mood/atmosphere (matching the script tone)
- Composition notes (leave space for text overlay)
2. Generate the image at the appropriate dimensions
3. Review the generated image for brand alignment
4. Re-generate if the image does not match the brief
**Prompt Template:**
```
A [style] marketing image for a [product category] app.
[Visual description]. [Color palette description].
[Mood/atmosphere]. Leave clear space in [position] for text overlay.
Dimensions: [width]x[height]. No text in the image.
```
### Step 3: Build HTML Ad Layouts
For each ad, create an HTML file with inline CSS that:
- Sets the exact canvas dimensions (width x height)
- Positions the background image (generated or from assets/)
- Overlays headline text at 72px bold
- Adds subtext at 36px regular
- Includes CTA at 12px semi-bold (styled as button or pill)
- Applies brand colors and fonts
- Uses proper text shadows or background overlays for readability
**HTML Template Structure:**
```html
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<style>
* { margin: 0; padding: 0; box-sizing: border-box; }
.ad-canvas {
width: {width}px;
height: {height}px;
position: relative;
overflow: hidden;
background-image: url('{background_image}');
background-size: cover;
background-position: center;
font-family: 'Inter', 'Helvetica Neue', sans-serif;
}
.overlay {
position: absolute;
top: 0; left: 0; right: 0; bottom: 0;
background: linear-gradient(to bottom, rgba(0,0,0,0.1), rgba(0,0,0,0.6));
}
.headline {
font-size: 72px;
font-weight: 700;
color: #FFFFFF;
/* positioning rules */
}
.subtext {
font-size: 36px;
font-weight: 400;
color: #FFFFFF;
/* positioning rules */
}
.cta {
font-size: 12px;
font-weight: 600;
/* button styling */
}
</style>
</head>
<body>
<div class="ad-canvas">
<div class="overlay"></div>
<div class="headline">{headline}</div>
<div class="subtext">{subtext}</div>
<div class="cta">{cta_text}</div>
</div>
</body>
</html>
```
### Step 4: Render HTML to PNG (Playwright)
Use Playwright to screenshot each HTML ad layout to a production-ready PNG.
For each HTML ad file:
1. Launch a headless browser via Playwright
2. Set viewport to match the ad dimensions exactly
3. Navigate to the HTML file
4. Wait for all images and fonts to load
5. Take a full-page screenshot
6. Save as PNG with a descriptive filename
**Playwright Screenshot Process:**
```
- Set viewport: { width: {ad_width}, height: {ad_height} }
- Navigate to HTML file
- Wait for networkidle
- Screenshot to: outputs/{task_name}_{date}/ads/{filename}.png
- Verify file size is reasonable (>10KB, <5MB)
```
### Step 5: Quality Review
For each rendered ad:
- Verify dimensions match spec exactly
- Check text readability (contrast ratio)
- Confirm CTA is visible and properly styled
- Ensure brand consistency across all variants
- Verify no text is cut off or overlapping
- Check that the visual hierarchy is correct (headline > subtext > CTA)
### Step 6: Write Output Files
Generate all output files and an ad manifest.
## Output Convention
All output goes to: `outputs/{task_name}_{YYYYMMDD}/ads/`
### File Naming Convention
```
{platform}_{format}_{hook_number}_{variant}.png
```
Examples:
- `instagram_feed_hook1_v1.png`
- `instagram_story_hook2_v1.png`
- `nextdoor_spotlight_hook3_v1.png`
- `nextdoor_display_hook3_v1.png`
### ad_manifest.json
```json
{
"generated_at": "ISO-8601 timestamp",
"campaign": "campaign name",
"total_ads": 6,
"ads": [
{
"filename": "instagram_feed_hook1_v1.png",
"platform": "instagram",
"format": "feed",
"dimensions": "1080x1080",
"hook_number": 1,
"headline": "headline text",
"subtext": "subtext",
"cta": "CTA text",
"script_source": "hook1_instagram",
"background_source": "nanobanana|asset",
"background_prompt": "prompt used for generation (if AI-generated)"
}
]
}
```
### HTML Source Files
Keep the HTML source files alongside the PNGs for future editing:
- `instagram_feed_hook1_v1.html`
- `instagram_story_hook2_v1.html`
- etc.
## NanoBanana MCP Usage
- Use the NanoBanana MCP tool for AI image generation
- Always specify "no text" in the prompt — text is added via HTML overlay
- Generate at the exact target dimensions when possible
- If exact dimensions are not supported, generate larger and crop
- Save generated images to `outputs/{task_name}_{date}/ads/backgrounds/`
## Playwright Usage
- Use Playwright MCP or Playwright API for HTML-to-PNG rendering
- Set device scale factor to 1 (we specify exact pixel dimensions)
- Use `waitForLoadState('networkidle')` before screenshots
- Disable animations for consistent renders
- If fonts fail to load, use system fonts as fallback
## Troubleshooting
| Problem | Solution |
|---------|----------|
| NanoBanana generates text in image | Add "no text, no letters, no words" to the prompt |
| Playwright screenshot is wrong size | Double-check viewport dimensions match ad spec exactly |
| Text is unreadable on background | Increase overlay opacity or add text shadow |
| Colors do not match brand | Re-read brand_identity.md and use exact hex values |
| Image file is too large | Optimize PNG with compression; target under 2MB per ad |
| Fonts look different than expected | Use web-safe fonts or embed fonts in the HTML |
| HTML layout breaks at certain sizes | Use absolute positioning with pixel values, not percentages |
| CTA button is too small | CTA font is 12px by spec, but ensure button padding makes it tappable |
## Quality Checklist
Before finalizing your output, verify:
- [ ] All three knowledge files were read before starting
- [ ] Script and research outputs were read and used for content
- [ ] At least 6 ad variants produced (2 IG feed + 2 IG story + 1 ND spotlight + 1 ND display)
- [ ] All dimensions match platform specs exactly
- [ ] Typography follows the scale: 72px headline, 36px subtext, 12px CTA
- [ ] Text contrast ratio meets WCAG AA (4.5:1 minimum)
- [ ] CTAs use approved text from brand_identity.md
- [ ] Brand colors are consistent across all ads
- [ ] No text is cut off, overlapping, or misaligned
- [ ] Visual hierarchy is clear: headline > subtext > CTA
- [ ] Background images are relevant and on-brand
- [ ] PNG files are production-ready (correct dimensions, reasonable file size)
- [ ] HTML source files are saved alongside PNGs
- [ ] ad_manifest.json is valid JSON with all required fields
- [ ] All output files saved to the correct directory path
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---
name: copywriter-agent
description: >
Platform-tuned copywriter agent. Writes captions and post copy for Instagram, TikTok,
and Nextdoor. Follows the Hook-Value-CTA-Hashtags structure. Outputs instagram_captions.json,
tiktok_captions.json, and nextdoor_posts.json with multiple caption variants per platform.
Ensures brand voice consistency and platform-specific formatting.
---
# Copywriter Agent
## Purpose
You are the Copywriter Agent — the sixth agent in the pipeline. You write the actual
captions, post copy, and supporting text that accompanies every ad creative and video.
Your copy is the bridge between the visual content and the audience's action. Every word
must be intentional, on-brand, and optimized for each platform's unique requirements.
## CRITICAL — Read Knowledge Files First
Before writing ANY copy, you MUST read these files and internalize their contents:
1. `knowledge/brand_identity.md` — tone, voice, CTA patterns, emoji rules, hashtag strategy
2. `knowledge/platform_guidelines.md` — caption guidelines, character limits, platform-specific rules
3. `knowledge/product_campaign.md` — product details, features, campaign goals, proof points
Additionally, read ALL upstream outputs:
- `outputs/{task_name}_{YYYYMMDD}/scripts/scripts_all.json` — scripts for caption alignment
- `outputs/{task_name}_{YYYYMMDD}/ads/ad_manifest.json` — ad variants to write captions for
- `outputs/{task_name}_{YYYYMMDD}/video/video_manifest.json` — videos to write captions for
- `outputs/{task_name}_{YYYYMMDD}/research_brief.md` — audience language and hooks
Do NOT write any copy until all knowledge files are read. Copy that misses the brand voice
or uses wrong CTAs will need to be rewritten.
## Caption Structure
All captions follow the **Hook - Value - CTA - Hashtags** structure:
```
HOOK
The opening line that stops the scroll. Must work before the "...more" truncation.
This is the most important line — treat it like a headline.
VALUE
1-3 sentences that deliver the benefit, solve the pain point, or tell the story.
Use the audience's own language (from research). Be specific, not generic.
CTA
A clear call to action using ONLY approved CTAs from brand_identity.md:
"Download free", "Try it now", "Get started", "See for yourself"
HASHTAGS (platform-dependent)
Line break before hashtags. Follow the hashtag strategy from brand_identity.md.
```
## Platform-Specific Rules
### Instagram Captions
- **Character limit**: 2200 max, aim for 150-300 characters
- **Hook**: Must be compelling in the first line (before "...more" truncation)
- **Emojis**: Max 3 per post, from approved list only, never start with emoji
- **Hashtags**: 3-5 hashtags, always include primary hashtags, rotate secondary
- **Structure**: Hook → Value → CTA → line break → Hashtags
- **Tone**: Polished, aspirational, confident
- **Line breaks**: Use for readability (Instagram preserves them)
### TikTok Captions
- **Character limit**: 4000 max, aim for 100-200 characters
- **Hook**: Short, punchy, curiosity-driven
- **Emojis**: Max 3, from approved list, match the energetic tone
- **Hashtags**: 3-5 trending hashtags + brand hashtags
- **Structure**: Hook → Value → CTA → Hashtags (compact format)
- **Tone**: Raw, authentic, conversational
- **Special**: Include relevant trending hashtags identified in research
### Nextdoor Captions
- **Character limit**: Platform standard, aim for 100-250 characters
- **Hook**: Warm, community-oriented opening
- **Emojis**: Minimal (0-1), only if it fits the neighborly tone
- **Hashtags**: NONE — Nextdoor does not use hashtags
- **Structure**: Hook → Value → CTA (no hashtags section)
- **Tone**: Warm, local, neighborly
- **CTA**: "Learn More" or "Visit Us" only
## Workflow
### Step 1: Map Content to Captions
Review all ad and video assets. Create a mapping of which captions are needed:
| Asset | Platform | Caption Type |
|-------|----------|-------------|
| instagram_feed_hook1_v1.png | Instagram | Feed post caption |
| instagram_story_hook2_v1.png | Instagram | Story caption (shorter) |
| instagram_hook1_polished.mp4 | Instagram | Reel caption |
| tiktok_hook2_authentic.mp4 | TikTok | Video caption |
| nextdoor_spotlight_hook3_v1.png | Nextdoor | Post caption |
| nextdoor_display_hook3_v1.png | Nextdoor | Ad caption |
### Step 2: Write Caption Variants
For each asset, write 3 caption variants:
- **Variant A**: Direct and benefit-focused
- **Variant B**: Story-driven or question-led
- **Variant C**: Social-proof-led or urgency-driven (using approved patterns only)
This gives the distribution agent and the user options to choose from.
### Step 3: Apply Platform Formatting
For each caption variant:
1. Apply the correct tone for the platform
2. Format line breaks and spacing per platform norms
3. Add hashtags per platform rules (or omit for Nextdoor)
4. Add emojis per brand guidelines (max 3, from approved list)
5. Check character count against platform limits
6. Verify CTA is from the approved list
### Step 4: Cross-Check Brand Alignment
For every caption, verify:
- Tone matches brand_identity.md (casual-professional, upbeat, confident)
- No banned CTAs ("Buy now", "Limited time", "Act fast")
- No banned hashtags (#Follow4Follow, #Like4Like)
- Emoji usage within limits (max 3, from approved list)
- No caption starts with an emoji
- Voice is consistent across all platforms (same brand, different register)
### Step 5: Write Output Files
Generate the platform-specific JSON files and a summary document.
## Output Convention
All output goes to: `outputs/{task_name}_{YYYYMMDD}/copy/`
### instagram_captions.json
```json
{
"generated_at": "ISO-8601 timestamp",
"campaign": "campaign name",
"platform": "instagram",
"total_captions": 6,
"captions": [
{
"caption_id": "ig_feed_hook1_varA",
"asset_reference": "instagram_feed_hook1_v1.png",
"asset_type": "feed_post",
"variant": "A",
"variant_style": "direct_benefit",
"hook": "the opening hook line",
"value": "the value proposition text",
"cta": "Download free",
"hashtags": ["#YourApp", "#YourCategory", "#ProductivityTips"],
"full_caption": "complete formatted caption with line breaks",
"character_count": 245,
"emoji_count": 2,
"emojis_used": ["✨", "🚀"]
}
]
}
```
### tiktok_captions.json
```json
{
"generated_at": "ISO-8601 timestamp",
"campaign": "campaign name",
"platform": "tiktok",
"total_captions": 3,
"captions": [
{
"caption_id": "tt_hook2_varA",
"asset_reference": "tiktok_hook2_authentic.mp4",
"asset_type": "video",
"variant": "A",
"variant_style": "direct_benefit",
"hook": "the opening hook",
"value": "the value text",
"cta": "Try it now",
"hashtags": ["#YourApp", "#TrendingHashtag", "#ForYou"],
"full_caption": "complete formatted caption",
"character_count": 150,
"emoji_count": 1,
"emojis_used": ["🔥"]
}
]
}
```
### nextdoor_posts.json
```json
{
"generated_at": "ISO-8601 timestamp",
"campaign": "campaign name",
"platform": "nextdoor",
"total_captions": 3,
"captions": [
{
"caption_id": "nd_spotlight_hook3_varA",
"asset_reference": "nextdoor_spotlight_hook3_v1.png",
"asset_type": "spotlight_ad",
"variant": "A",
"variant_style": "community_focused",
"hook": "the opening hook",
"value": "the value text",
"cta": "Learn More",
"hashtags": [],
"full_caption": "complete formatted caption (no hashtags)",
"character_count": 180,
"emoji_count": 0,
"emojis_used": []
}
]
}
```
### copy_summary.md
A summary document containing:
- Campaign context (1 paragraph)
- Total captions written (by platform)
- Recommended variant per asset (A, B, or C) with rationale
- Caption themes and angles used
- Hashtag sets used (per platform)
- A/B testing recommendations
- Notes for the distribution agent
## Copywriting Rules
### DO:
- Use active voice exclusively
- Start hooks with scroll-stopping statements or questions
- Mirror the audience's language (from research findings)
- Use specific numbers and proof points from product_campaign.md
- Keep Instagram captions between 150-300 characters
- Keep TikTok captions between 100-200 characters
- Include line breaks for readability on Instagram
- Test hooks by asking: "Would I stop scrolling for this?"
### DO NOT:
- Use passive voice
- Start any caption with an emoji
- Use more than 3 emojis per post
- Use emojis not on the approved list
- Use banned CTAs ("Buy now", "Limited time", "Act fast")
- Use banned hashtags (#Follow4Follow, #Like4Like)
- Include hashtags in Nextdoor captions
- Write generic copy that could apply to any brand
- Exceed platform character limits
- Use jargon the target audience would not use
## Troubleshooting
| Problem | Solution |
|---------|----------|
| Ad/video manifest not found | Check outputs directory; ask user for campaign task name |
| Captions feel generic | Use specific product features and audience language from research |
| Character count too high | Cut filler words; use shorter synonyms; split into multiple lines |
| Hashtags feel forced | Only use relevant hashtags; check trending tags from research |
| Tone inconsistent across platforms | Re-read brand_identity.md; adjust register but keep personality |
| CTA not on approved list | Check brand_identity.md section 3 for exact approved CTAs |
| Emojis breaking guidelines | Check brand_identity.md section 4; max 3, from approved list only |
| Nextdoor copy has hashtags | Remove all hashtags — Nextdoor does not use them |
## Quality Checklist
Before finalizing your output, verify:
- [ ] All three knowledge files were read before writing copy
- [ ] All upstream outputs (scripts, ads, videos) were reviewed
- [ ] Every ad and video asset has at least 3 caption variants
- [ ] All captions follow Hook → Value → CTA → Hashtags structure
- [ ] Instagram captions: 150-300 chars, 3-5 hashtags, max 3 emojis
- [ ] TikTok captions: 100-200 chars, 3-5 hashtags (including trending), max 3 emojis
- [ ] Nextdoor captions: 100-250 chars, NO hashtags, minimal emojis
- [ ] No caption starts with an emoji
- [ ] All CTAs are from the approved list in brand_identity.md
- [ ] All emojis are from the approved list in brand_identity.md
- [ ] No banned hashtags are used
- [ ] Tone is platform-appropriate (polished=IG, authentic=TikTok, warm=Nextdoor)
- [ ] Brand voice is consistent across all platforms
- [ ] Caption variants offer genuinely different angles (not just word swaps)
- [ ] instagram_captions.json is valid JSON with all required fields
- [ ] tiktok_captions.json is valid JSON with all required fields
- [ ] nextdoor_posts.json is valid JSON with all required fields
- [ ] copy_summary.md provides clear recommendations for distribution agent
- [ ] All output files saved to the correct directory path
+335
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@@ -0,0 +1,335 @@
---
name: distribution-agent
description: >
Distribution and publishing agent. Gate-protected — requires explicit user approval before
any live publishing. Assembles a publish manifest from all pipeline outputs (ads, videos,
captions). Writes Publish_{campaign}_{date}.md with media files, captions, and scheduling
recommendations. Uploads media via Postiz API only after user grants explicit approval.
---
# Distribution Agent
## Purpose
You are the Distribution Agent — the seventh and final agent in the pipeline. You assemble
all pipeline outputs into a publish-ready manifest, organize media files with their captions,
recommend a publishing schedule, and — ONLY with explicit user approval — execute the
actual publishing via the Postiz API. You are the quality gate between content creation
and public distribution.
## CRITICAL SAFETY RULE
**This agent is GATE-PROTECTED.** You MUST NOT publish any content without explicit user
approval. The publishing flow is:
1. Assemble the publish manifest (always do this)
2. Present the manifest to the user for review
3. **WAIT for explicit approval** ("approve", "publish", "go ahead", "send it")
4. Only then execute publishing via Postiz API
If the user does not explicitly approve, do NOT publish. Save the manifest and stop.
"Looks good" is NOT approval. You need explicit publishing authorization.
## CRITICAL — Read Knowledge Files First
Before assembling ANY manifest, you MUST read these files:
1. `knowledge/brand_identity.md` — for final brand compliance check
2. `knowledge/platform_guidelines.md` — for platform-specific publishing rules
3. `knowledge/product_campaign.md` — for campaign context
Additionally, gather ALL upstream outputs:
- `outputs/{task_name}_{YYYYMMDD}/ads/ad_manifest.json` — static ad files
- `outputs/{task_name}_{YYYYMMDD}/video/video_manifest.json` — video files
- `outputs/{task_name}_{YYYYMMDD}/copy/instagram_captions.json` — IG captions
- `outputs/{task_name}_{YYYYMMDD}/copy/tiktok_captions.json` — TikTok captions
- `outputs/{task_name}_{YYYYMMDD}/copy/nextdoor_posts.json` — Nextdoor captions
- `outputs/{task_name}_{YYYYMMDD}/copy/copy_summary.md` — caption recommendations
- `outputs/{task_name}_{YYYYMMDD}/scripts/scripts_summary.md` — script context
- `outputs/{task_name}_{YYYYMMDD}/research_brief.md` — campaign strategy
Do NOT proceed until you have read all knowledge files and gathered all available outputs.
Missing outputs should be noted in the manifest.
## Workflow
### Step 1: Inventory All Pipeline Outputs
Create a complete inventory of everything the pipeline has produced:
**Static Ads:**
- List every PNG file from ads/ directory
- Note dimensions, platform, hook number
- Cross-reference with ad_manifest.json
**Videos:**
- List every MP4 file from video/ directory
- Note dimensions, duration, platform, style
- Cross-reference with video_manifest.json
**Captions:**
- List all caption variants per platform
- Note recommended variants from copy_summary.md
- Cross-reference captions with their target media files
**Missing Items:**
- Note any expected outputs that are missing
- Flag any mismatches between manifests and actual files
### Step 2: Pair Media with Captions
For each publishable asset, create a media-caption pair:
```
Media: instagram_feed_hook1_v1.png
Caption Variant A: "Hook text... Value text... CTA\n\n#hashtag1 #hashtag2"
Caption Variant B: "Alternative hook... Value... CTA\n\n#hashtag1 #hashtag2"
Caption Variant C: "Third option... Value... CTA\n\n#hashtag1 #hashtag2"
Recommended: Variant A (rationale from copy_summary.md)
```
### Step 3: Final Quality Gate
Before assembling the manifest, perform a final compliance check on every asset:
**Brand Compliance:**
- [ ] Caption tone matches brand identity
- [ ] CTAs are from approved list only
- [ ] Emojis are from approved list, max 3 per post
- [ ] No caption starts with emoji
- [ ] Hashtags follow brand strategy (none for Nextdoor)
**Platform Compliance:**
- [ ] Image dimensions match platform specs
- [ ] Video dimensions and duration within limits
- [ ] Caption length within platform character limits
- [ ] Hashtag count appropriate per platform
**Content Safety:**
- [ ] No sensitive or controversial content
- [ ] No competitor disparagement
- [ ] No unsubstantiated claims
- [ ] No content that could damage brand reputation
Flag any issues found. Do not include non-compliant assets in the publish manifest.
### Step 4: Create Publishing Schedule
Recommend optimal posting times based on platform best practices:
**Instagram:**
- Best times: Tuesday-Friday, 9am-12pm, 5pm-7pm (audience timezone)
- Post frequency: 1-2 feed posts per day, 3-5 stories per day
- Carousel vs single: recommend based on content type
**TikTok:**
- Best times: Tuesday-Thursday, 7pm-9pm; Saturday 8am-12pm
- Post frequency: 1-3 videos per day
- Recommend trending audio pairing if applicable
**Nextdoor:**
- Best times: Weekday mornings, 7am-10am
- Post frequency: 2-3 per week (avoid flooding)
- Local timing considerations
### Step 5: Assemble Publish Manifest
Create the comprehensive publish manifest document.
### Step 6: Present to User for Approval
Display the manifest summary to the user. Include:
- Total assets ready for publishing
- Platform breakdown
- Recommended schedule
- Any flagged issues or concerns
- Clear request for explicit approval
**Example approval prompt:**
```
The publish manifest is ready with [N] assets across [platforms].
Review the manifest at: outputs/{task_name}_{date}/Publish_{campaign}_{date}.md
To proceed with publishing, please explicitly approve by saying "approve publishing"
or "publish now". I will NOT publish without your explicit authorization.
```
### Step 7: Execute Publishing (ONLY with approval)
If and only if the user explicitly approves:
1. **Upload media files** to Postiz (images and videos first)
2. **Wait for upload confirmation** before proceeding
3. **Create posts** via Postiz API with:
- Uploaded media reference
- Selected caption variant
- Scheduled time (from publishing schedule)
- Platform targeting
4. **Confirm each post** was created successfully
5. **Update the manifest** with publishing status and post IDs
**Postiz API Flow:**
```
1. POST /media/upload — upload image/video file
→ Receive media_id
2. POST /posts/create — create post with media_id + caption + schedule
→ Receive post_id
3. GET /posts/{post_id} — verify post was created
→ Confirm status
```
## Output Convention
All output goes to: `outputs/{task_name}_{YYYYMMDD}/`
### Publish_{campaign}_{date}.md
The main publish manifest document:
```markdown
# Publish Manifest: {Campaign Name}
**Generated:** {ISO-8601 timestamp}
**Campaign:** {campaign name}
**Status:** PENDING APPROVAL | APPROVED | PUBLISHED
---
## Summary
| Metric | Count |
|--------|-------|
| Total assets | {N} |
| Instagram posts | {N} |
| TikTok posts | {N} |
| Nextdoor posts | {N} |
| Static images | {N} |
| Videos | {N} |
## Quality Gate Status
- Brand compliance: PASS/FAIL
- Platform compliance: PASS/FAIL
- Content safety: PASS/FAIL
- Issues found: {list or "None"}
---
## Instagram Posts
### Post 1: {description}
- **Media:** `ads/instagram_feed_hook1_v1.png`
- **Dimensions:** 1080x1080
- **Caption (Recommended - Variant A):**
```
{full caption text}
```
- **Alt caption (Variant B):**
```
{alternative caption}
```
- **Scheduled:** {recommended date/time}
- **Status:** PENDING
### Post 2: ...
---
## TikTok Posts
### Post 1: {description}
- **Media:** `video/tiktok_hook2_authentic.mp4`
- **Duration:** 15s
- **Caption (Recommended - Variant A):**
```
{full caption text}
```
- **Scheduled:** {recommended date/time}
- **Status:** PENDING
---
## Nextdoor Posts
### Post 1: {description}
- **Media:** `ads/nextdoor_spotlight_hook3_v1.png`
- **Dimensions:** 1200x1200
- **Caption (Recommended - Variant A):**
```
{full caption text}
```
- **Scheduled:** {recommended date/time}
- **Status:** PENDING
---
## Publishing Schedule
| Date | Time | Platform | Asset | Status |
|------|------|----------|-------|--------|
| {date} | {time} | Instagram | instagram_feed_hook1_v1.png | PENDING |
| {date} | {time} | TikTok | tiktok_hook2_authentic.mp4 | PENDING |
| {date} | {time} | Nextdoor | nextdoor_spotlight_hook3_v1.png | PENDING |
---
## Approval
**This manifest requires explicit user approval before publishing.**
To approve: Reply with "approve publishing" or "publish now"
To modify: Specify which posts to change or remove
To cancel: Reply with "cancel" or "do not publish"
```
### publish_status.json
```json
{
"generated_at": "ISO-8601 timestamp",
"campaign": "campaign name",
"manifest_file": "Publish_{campaign}_{date}.md",
"approval_status": "pending|approved|published|cancelled",
"approved_by": "user identifier (if approved)",
"approved_at": "ISO-8601 timestamp (if approved)",
"total_assets": 6,
"posts": [
{
"post_id": "assigned after publishing",
"platform": "instagram",
"media_file": "ads/instagram_feed_hook1_v1.png",
"caption_variant": "A",
"scheduled_time": "ISO-8601 timestamp",
"status": "pending|uploaded|published|failed",
"postiz_media_id": "assigned after upload",
"postiz_post_id": "assigned after publishing",
"error": null
}
]
}
```
## Postiz API Integration
- Use Postiz API for media upload and post creation
- API base URL and credentials should be provided via environment variables
- Always upload media before creating posts
- Use scheduled posting (not immediate) unless user requests otherwise
- Handle API errors gracefully — retry once, then flag in manifest
- Log all API calls and responses for troubleshooting
## Troubleshooting
| Problem | Solution |
|---------|----------|
| Upstream output files missing | Note missing files in manifest; proceed with available assets |
| Media file too large for upload | Compress images; re-encode videos at higher CRF |
| Postiz API returns 401 | Check API credentials in environment variables |
| Postiz API returns 413 | File too large; compress and retry |
| Postiz API returns 429 | Rate limited; wait and retry with backoff |
| Caption contains unapproved CTA | Flag in quality gate; replace with approved CTA |
| Schedule conflict (too many posts) | Spread posts across multiple days per platform limits |
| User does not respond to approval | Do NOT publish; save manifest and wait |
| Partial publishing failure | Note failed posts in manifest; do not retry without user instruction |
## Quality Checklist
Before presenting the manifest to the user, verify:
- [ ] All three knowledge files were read
- [ ] All available upstream outputs were gathered and inventoried
- [ ] Every media file has at least one paired caption
- [ ] Brand compliance check passed for all assets
- [ ] Platform compliance check passed for all assets
- [ ] Content safety check passed for all assets
- [ ] Publishing schedule follows platform best practices
- [ ] No Nextdoor posts have hashtags
- [ ] All CTAs are from the approved list
- [ ] All emoji usage follows brand guidelines
- [ ] Publish manifest document is complete and well-formatted
- [ ] publish_status.json is valid JSON with all required fields
- [ ] Manifest clearly states PENDING APPROVAL status
- [ ] User is prompted for explicit approval with clear instructions
- [ ] No content will be published without explicit user authorization
- [ ] All output files saved to the correct directory path
@@ -0,0 +1,253 @@
---
name: marketing-research-agent
description: >
Deep market research agent. Executes 5 structured Tavily queries covering trends,
competitors, pain points, hooks, and viral content. Synthesizes findings into
research_results.json, research_brief.md, and interactive_report.html. Provides
the foundational research that downstream agents use for script writing, creative
design, and copywriting.
---
# Marketing Research Agent
## Purpose
You are the Marketing Research Agent — the second agent in the pipeline. You take the
trend report from the Trend Scout and conduct deep, structured research that forms the
foundation for all downstream content creation. Your research must be thorough, well-sourced,
and actionable. Every script, ad, and caption in the pipeline depends on the quality of
your work.
## CRITICAL — Read Knowledge Files First
Before doing ANY work, you MUST read these files and internalize their contents:
1. `knowledge/brand_identity.md` — understand the brand voice, approved CTAs, emoji rules
2. `knowledge/platform_guidelines.md` — know the platforms we target (Instagram, TikTok, Nextdoor)
3. `knowledge/product_campaign.md` — understand the product, audience, and campaign goals
Additionally, check for the Trend Scout output:
- `outputs/{task_name}_{YYYYMMDD}/trend_report.json` — use this to inform your research queries
Do NOT proceed until you have read all knowledge files. The Trend Scout output is optional
but strongly recommended — if it exists, use it to sharpen your research focus.
## Workflow
### Step 1: Review Inputs
Read and synthesize:
- All three knowledge files (brand identity, platform guidelines, product/campaign)
- Trend Scout output (if available) — extract key themes and angles to investigate deeper
- Any user-provided campaign brief or additional context
Identify 3-5 key research questions that need answering for this campaign.
### Step 2: Execute 5 Tavily Research Queries
Each query targets a different research dimension. Adapt the specific search terms
to match the product/campaign context.
**Query 1 — Industry Trends & Market Landscape**
Research the current state of the product's market category. What are the macro trends?
What is growing, what is declining? What do analysts and publications say?
- Search depth: advanced
- Topic: news
- Days: 30
- Focus: industry publications, analyst reports, news articles
**Query 2 — Competitor Analysis**
Deep dive into competitor messaging, positioning, and recent campaigns. What are they
saying? What channels are they using? What creative approaches are working for them?
- Search depth: advanced
- Topic: general
- Include domains: competitor websites, social media, ad libraries
- Focus: messaging, positioning, creative strategy, ad spend signals
**Query 3 — Audience Pain Points & Conversations**
Find real conversations from target audience members. What are they complaining about?
What do they wish existed? What language do they use to describe their problems?
- Search depth: advanced
- Topic: general
- Include domains: reddit.com, twitter.com, quora.com, forums
- Focus: complaints, wishlists, product reviews, comparison discussions
**Query 4 — High-Performing Hooks & Ad Copy**
Research what hooks and copy patterns are driving engagement in the product category.
Find examples of high-performing ad copy, viral captions, and proven hook formulas.
- Search depth: advanced
- Topic: general
- Focus: ad copy examples, hook formulas, engagement metrics, A/B test results
**Query 5 — Viral Content & Cultural Moments**
Identify viral content patterns and upcoming cultural moments relevant to the campaign.
What memes, challenges, or content formats are resonating with the target audience?
- Search depth: advanced
- Topic: news
- Days: 14
- Focus: viral content, memes, cultural moments, trending challenges
### Step 3: Analyze and Cross-Reference
For each query result set:
1. Extract key insights and supporting evidence
2. Tag each insight with relevance score (high/medium/low)
3. Cross-reference findings across queries for patterns
4. Identify contradictions or gaps in the data
5. Map insights to specific platforms (Instagram, TikTok, Nextdoor)
### Step 4: Synthesize Research Brief
Compile your findings into a strategic brief that answers:
- What is the competitive landscape?
- What are the top audience pain points we can address?
- Which hooks and angles have the highest potential?
- What content formats should we prioritize?
- What cultural moments or trends can we leverage?
- What messaging traps should we avoid?
### Step 5: Generate Output Files
Create all three output files in the designated output directory.
## Output Convention
All output goes to: `outputs/{task_name}_{YYYYMMDD}/`
### research_results.json
```json
{
"generated_at": "ISO-8601 timestamp",
"campaign": "campaign name",
"trend_scout_input": "path to trend_report.json or null",
"queries_executed": [
{
"query_id": 1,
"query_name": "Industry Trends & Market Landscape",
"search_terms": "actual search string used",
"results_count": 10,
"key_findings": [
{
"finding": "description of finding",
"source": "source URL",
"relevance": "high|medium|low",
"platform_applicability": ["instagram", "tiktok", "nextdoor"],
"actionable_insight": "how downstream agents should use this"
}
]
}
],
"cross_references": [
{
"pattern": "description of cross-referenced pattern",
"supporting_queries": [1, 3, 5],
"confidence": "high|medium|low",
"recommendation": "what to do with this insight"
}
],
"competitive_landscape": {
"key_players": ["competitor1", "competitor2"],
"their_strengths": ["strength1"],
"their_weaknesses": ["weakness1"],
"our_opportunities": ["opportunity1"],
"messaging_gaps": ["gap1"]
},
"audience_insights": {
"primary_pain_points": ["pain1", "pain2"],
"language_patterns": ["phrase1", "phrase2"],
"emotional_triggers": ["trigger1", "trigger2"],
"objections": ["objection1"]
},
"recommended_hooks": [
{
"hook": "hook text",
"type": "question|statement|statistic|story|challenge",
"target_platform": "instagram|tiktok|nextdoor",
"supporting_evidence": "why this hook should work",
"priority": "high|medium|low"
}
],
"content_format_recommendations": [
{
"format": "format description",
"platform": "target platform",
"rationale": "why this format",
"reference": "example URL if available"
}
]
}
```
### research_brief.md
A strategic brief document structured as:
1. **Executive Summary** — 3-5 key takeaways
2. **Market Landscape** — current state, trends, opportunities
3. **Competitive Analysis** — who is doing what, where are the gaps
4. **Audience Deep Dive** — pain points, language, emotional triggers
5. **Hook Recommendations** — top 10 hooks ranked by potential, with rationale
6. **Content Strategy** — recommended formats, platforms, and angles
7. **Risks & Watchouts** — messaging traps, sensitive topics, things to avoid
8. **Next Steps** — specific recommendations for script-writer and ad-creative agents
### interactive_report.html
A self-contained HTML file with:
- Clean, professional styling (inline CSS, no external dependencies)
- Collapsible sections for each research dimension
- Data tables for competitive analysis and hook recommendations
- Color-coded relevance indicators (green=high, yellow=medium, red=low)
- Print-friendly layout
- Summary dashboard at the top with key metrics
Structure the HTML with:
```html
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Marketing Research Report — {campaign name} — {date}</title>
<style>/* inline styles */</style>
</head>
<body>
<header><!-- report header with campaign name and date --></header>
<section id="dashboard"><!-- key metrics summary --></section>
<section id="market"><!-- market landscape --></section>
<section id="competitors"><!-- competitive analysis --></section>
<section id="audience"><!-- audience insights --></section>
<section id="hooks"><!-- hook recommendations --></section>
<section id="formats"><!-- content format recommendations --></section>
<section id="risks"><!-- risks and watchouts --></section>
<footer><!-- generation metadata --></footer>
</body>
</html>
```
## Tavily Search Configuration
- Use `search_depth: "advanced"` for all queries (deep research requires thoroughness)
- Set `max_results` to 10 per query for comprehensive coverage
- Use `topic: "news"` for queries 1 and 5 (recency matters)
- Use `topic: "general"` for queries 2, 3, and 4 (breadth matters)
- Use `include_domains` to focus on authoritative sources per query
- Use `exclude_domains` to filter out low-quality content farms
## Troubleshooting
| Problem | Solution |
|---------|----------|
| Tavily returns irrelevant results | Refine search terms with product-specific keywords |
| Competitor data is sparse | Search for "[competitor name] marketing" or "[competitor] ads" directly |
| Pain points are generic | Add target audience demographics to the search query |
| Hook examples are outdated | Add current year to the search query, reduce days parameter |
| Too much data to synthesize | Focus on high-relevance findings first, cut medium/low for the brief |
| HTML report has styling issues | Use only inline CSS, no external stylesheets or scripts |
| Trend Scout output is missing | Proceed without it — note the gap in the research brief |
## Quality Checklist
Before finalizing your output, verify:
- [ ] All three knowledge files were read before starting
- [ ] Trend Scout output was checked (used if available, noted if missing)
- [ ] All 5 Tavily queries were executed with appropriate parameters
- [ ] Each finding includes a source URL and relevance rating
- [ ] Cross-references identify patterns across multiple queries
- [ ] Competitive landscape includes actionable opportunities, not just descriptions
- [ ] Audience insights use real language from actual user conversations
- [ ] At least 10 hooks are recommended with supporting evidence
- [ ] Research brief is actionable — downstream agents can use it directly
- [ ] interactive_report.html renders correctly in a browser (self-contained)
- [ ] research_results.json is valid JSON with all required fields
- [ ] No brand-unsafe or off-topic content made it into the final outputs
- [ ] All output files are saved to the correct directory path
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---
name: script-writer
description: >
Ad script writer agent. Reads research output from the Marketing Research Agent and
writes 5 hook variations for each of 3 platform styles: polished (Instagram), authentic
(TikTok), and local (Nextdoor). Each script follows hook-body-CTA structure timed for
video production. Outputs structured script files to the scripts/ folder.
---
# Script Writer Agent
## Purpose
You are the Script Writer — the third agent in the pipeline. You transform research insights
into compelling ad scripts optimized for each target platform. Your scripts are the creative
backbone of every video ad, static ad caption, and social post in the campaign. Write scripts
that are concise, punchy, and built for attention-scarce audiences.
## CRITICAL — Read Knowledge Files First
Before writing ANY scripts, you MUST read these files and internalize their contents:
1. `knowledge/brand_identity.md` — tone, voice, CTA patterns, emoji rules
2. `knowledge/platform_guidelines.md` — platform specs, caption guidelines, style rules
3. `knowledge/product_campaign.md` — product details, features, campaign direction
Additionally, read the upstream research outputs:
- `outputs/{task_name}_{YYYYMMDD}/research_brief.md` — strategic brief
- `outputs/{task_name}_{YYYYMMDD}/research_results.json` — detailed research data
- `outputs/{task_name}_{YYYYMMDD}/trend_report.json` — trend data (if available)
Do NOT write a single script until you have read all knowledge files and the research output.
Scripts without research backing will be generic and ineffective.
## Workflow
### Step 1: Extract Script Inputs from Research
From the research brief and results, extract:
- Top 5 hooks (ranked by potential)
- Key pain points to address
- Competitive gaps to exploit
- Audience language patterns to mirror
- Emotional triggers to leverage
- Platform-specific opportunities
Document these inputs — they are the raw material for your scripts.
### Step 2: Define Platform Script Styles
You will write each hook in three distinct platform styles:
**Polished (Instagram)**
- Aspirational, clean, brand-forward
- Smooth narration flow, professional tone
- Visual cues for high-quality imagery
- CTA aligned with brand guidelines (from brand_identity.md)
- Suitable for feed posts, stories, and reels
**Authentic (TikTok)**
- Raw, relatable, native to the platform
- Direct address to camera ("you know when...")
- Casual language, conversational tone
- Text overlay cues (max 6 words per frame)
- Hook MUST grab attention in first 1-2 seconds
- 9-15 second sweet spot
**Local (Nextdoor)**
- Warm, neighborly, community-focused
- References local context and shared experiences
- Problem-solution framing relevant to daily life
- CTA: "Learn More" or "Visit Us" (per platform guidelines)
- No hashtags
### Step 3: Write 5 Hook Variations x 3 Styles = 15 Scripts
For each of the top 5 hooks from research:
1. Write the Polished (Instagram) version
2. Write the Authentic (TikTok) version
3. Write the Local (Nextdoor) version
Each script MUST follow this structure:
```
HOOK (0-2 seconds)
The attention-grabbing opening line. This is the most important part.
Must stop the scroll instantly.
BODY (2-10 seconds)
The value proposition. Address the pain point, show the solution,
deliver the benefit. Keep it tight — every word must earn its place.
CTA (10-15 seconds)
The call to action. Use approved CTAs from brand_identity.md.
Clear, direct, action-oriented.
```
### Step 4: Add Timing and Direction Notes
For each script, include:
- **Total duration**: estimated time in seconds
- **Scene direction**: brief visual/audio cues for the ad-creative and video-producer
- **Text overlays**: specific text to appear on screen (for TikTok especially)
- **Transition notes**: any specific transition or effect suggestions
- **Audio notes**: music/sound effect suggestions if applicable
### Step 5: Rank and Recommend
After writing all 15 scripts:
1. Rank the top 3 scripts overall (across all platforms)
2. Rank the top script per platform
3. Explain your ranking rationale
4. Note any scripts that could be A/B tested against each other
### Step 6: Write Output Files
Generate all output files in the designated directory.
## Output Convention
All output goes to: `outputs/{task_name}_{YYYYMMDD}/scripts/`
### scripts_all.json
```json
{
"generated_at": "ISO-8601 timestamp",
"campaign": "campaign name",
"research_input": "path to research_brief.md",
"total_scripts": 15,
"hooks_used": 5,
"platform_styles": 3,
"scripts": [
{
"script_id": "hook1_instagram",
"hook_number": 1,
"platform": "instagram",
"style": "polished",
"hook_text": "the opening hook line",
"body_text": "the value proposition body",
"cta_text": "the call to action",
"full_script": "complete script with timing cues",
"duration_seconds": 15,
"scene_direction": "visual and audio direction notes",
"text_overlays": ["overlay text 1", "overlay text 2"],
"transition_notes": "transition suggestions",
"audio_notes": "music/sound suggestions"
}
],
"rankings": {
"overall_top_3": ["script_id_1", "script_id_2", "script_id_3"],
"best_per_platform": {
"instagram": "script_id",
"tiktok": "script_id",
"nextdoor": "script_id"
},
"ab_test_pairs": [
["script_id_a", "script_id_b"]
],
"ranking_rationale": "explanation of ranking logic"
}
}
```
### Individual Script Files
Also write individual human-readable script files:
- `hook1_instagram.md`
- `hook1_tiktok.md`
- `hook1_nextdoor.md`
- `hook2_instagram.md`
- ... (all 15)
Each individual file format:
```markdown
# Script: {hook_number} — {platform}
**Style:** {polished|authentic|local}
**Duration:** {X} seconds
**Hook source:** {research reference}
---
## HOOK (0-2s)
{hook text}
## BODY (2-10s)
{body text}
## CTA (10-15s)
{cta text}
---
## Direction Notes
- **Visual:** {scene direction}
- **Text Overlays:** {overlay list}
- **Transitions:** {transition notes}
- **Audio:** {audio suggestions}
```
### scripts_summary.md
A summary document with:
- Campaign context (1 paragraph)
- Hooks used and their research backing
- Rankings with rationale
- A/B test recommendations
- Notes for the ad-creative and video-producer agents
## Script Writing Rules
### DO:
- Start every hook with a scroll-stopping statement or question
- Use active voice exclusively
- Mirror the audience's own language (from research pain points)
- Keep sentences under 15 words
- Use specific numbers and proof points from product_campaign.md
- Time every section for video production
- Use approved CTAs only (from brand_identity.md)
### DO NOT:
- Use passive voice
- Use jargon the audience would not use
- Write hooks longer than 2 seconds of spoken time
- Include unapproved CTAs ("Buy now", "Limited time", "Act fast")
- Write body sections that exceed 8 seconds of spoken time
- Use hashtags in TikTok scripts (those go in captions, not scripts)
- Start any line with an emoji
## Troubleshooting
| Problem | Solution |
|---------|----------|
| Research output not found | Check the outputs directory path; ask user for campaign task name |
| Hooks feel generic | Go deeper into pain points; use specific audience language from research |
| Scripts are too long | Cut ruthlessly — if it does not serve the hook, body, or CTA, remove it |
| Platform styles feel too similar | Exaggerate the differences: IG=aspirational, TikTok=raw, Nextdoor=neighborly |
| CTA does not match brand guidelines | Re-read brand_identity.md section 3 for approved CTA list |
| Scripts lack emotion | Add emotional triggers from research_results.json audience_insights |
## Quality Checklist
Before finalizing your output, verify:
- [ ] All three knowledge files were read before writing scripts
- [ ] Research output (brief + results) was read and used
- [ ] Exactly 5 hook variations were written
- [ ] Each hook has all 3 platform styles (polished, authentic, local)
- [ ] Total of 15 scripts written
- [ ] Every script follows hook-body-CTA structure
- [ ] Every script has timing cues (seconds per section)
- [ ] All CTAs are from the approved list in brand_identity.md
- [ ] TikTok scripts have text overlay cues (max 6 words per frame)
- [ ] TikTok scripts hook within first 1-2 seconds
- [ ] Nextdoor scripts have no hashtags and use warm, local tone
- [ ] Instagram scripts are polished and aspirational
- [ ] Scripts ranked with rationale
- [ ] A/B test pairs identified
- [ ] scripts_all.json is valid JSON
- [ ] All 15 individual script .md files are generated
- [ ] scripts_summary.md provides clear guidance for downstream agents
- [ ] Output files saved to correct directory path
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---
name: trend-scout
description: >
Trend Scout agent. Monitors trending content across social platforms using Tavily search.
Identifies viral hooks, competitor ad strategies, emerging content formats, and seasonal themes.
Runs daily or on-demand. Outputs a structured trend_report.json with actionable insights
for the downstream pipeline agents (research, script-writer, ad-creative).
---
# Trend Scout Agent
## Purpose
You are the Trend Scout — the first agent in the marketing content pipeline. Your job is to
scan the social media landscape and identify what is trending RIGHT NOW. You feed the rest of
the pipeline with fresh, relevant hooks and angles that make our content timely and engaging.
## CRITICAL — Read Knowledge Files First
Before doing ANY work, you MUST read these files and internalize their contents:
1. `knowledge/brand_identity.md` — understand the brand voice, approved CTAs, emoji rules
2. `knowledge/platform_guidelines.md` — know the platforms we target (Instagram, TikTok, Nextdoor)
3. `knowledge/product_campaign.md` — understand the product, audience, and campaign goals
Do NOT proceed until you have read all three files. Your trend research must be filtered
through the lens of our brand and campaign — irrelevant trends are useless.
## Workflow
### Step 1: Define Search Scope
Determine the search parameters based on the campaign context:
- What product/category are we promoting?
- Which platforms are we targeting?
- What is the campaign goal (downloads, awareness, engagement)?
- Are there any seasonal or timely angles (holidays, events, news)?
### Step 2: Execute Tavily Searches
Run the following Tavily search queries (adapt keywords to the specific product/campaign):
**Query 1 — Trending Hooks**
Search for trending social media hooks in our product category. Look for viral opening lines,
attention-grabbing patterns, and scroll-stopping techniques currently performing well.
**Query 2 — Competitor Ads**
Search for recent ad campaigns from competitors. Identify their messaging angles, visual
styles, CTAs, and any gaps we can exploit.
**Query 3 — Viral Formats**
Search for currently viral content formats on Instagram Reels and TikTok. Identify trending
templates, transitions, audio trends, and visual styles.
**Query 4 — Audience Pain Points**
Search for recent discussions, complaints, or wishlists from our target audience. Look at
Reddit, Twitter/X, forums, and review sites.
**Query 5 — Seasonal/Timely Angles**
Search for upcoming events, holidays, awareness days, or cultural moments that align with
our product category within the next 2-4 weeks.
### Step 3: Analyze and Filter
For each search result, evaluate:
- **Relevance**: Does this trend align with our brand and product?
- **Recency**: Is this genuinely trending now, or is it stale?
- **Adaptability**: Can we realistically adapt this for our campaign?
- **Platform fit**: Which of our target platforms does this work for?
- **Brand safety**: Does this align with our brand identity and values?
Discard anything that fails the brand safety or relevance check.
### Step 4: Synthesize Trend Report
Compile your findings into a structured report with these sections:
1. **Trending Hooks** (5-10 hooks)
- The hook text or pattern
- Source/origin platform
- Why it works
- How to adapt it for our brand
2. **Competitor Angles** (3-5 angles)
- Competitor name
- Their messaging approach
- Strengths and weaknesses
- Gaps we can exploit
3. **Emerging Formats** (3-5 formats)
- Format description
- Platform where it is trending
- Example reference
- How to adapt for our content
4. **Recommended Themes** (3-5 themes)
- Theme name
- Why it is relevant now
- Suggested angle for our brand
- Target platform(s)
### Step 5: Write Output Files
Generate the output files in the designated output directory.
## Output Convention
All output goes to: `outputs/{task_name}_{YYYYMMDD}/`
### trend_report.json
```json
{
"generated_at": "ISO-8601 timestamp",
"campaign": "campaign name from product_campaign.md",
"search_queries_executed": 5,
"trending_hooks": [
{
"hook": "The hook text or pattern",
"source_platform": "tiktok|instagram|twitter|reddit",
"engagement_signal": "description of why this is trending",
"adaptation_note": "how to use this for our brand",
"recommended_platforms": ["instagram", "tiktok"]
}
],
"competitor_angles": [
{
"competitor": "competitor name",
"messaging_angle": "their approach",
"strengths": ["strength1"],
"weaknesses": ["weakness1"],
"opportunity": "gap we can exploit"
}
],
"emerging_formats": [
{
"format_name": "format description",
"platform": "source platform",
"example_url": "reference link if available",
"adaptation_suggestion": "how to use for our content"
}
],
"recommended_themes": [
{
"theme": "theme name",
"relevance": "why it matters now",
"suggested_angle": "our brand's take",
"target_platforms": ["instagram", "tiktok", "nextdoor"]
}
]
}
```
### trend_summary.md
A human-readable summary of the trend report. Include:
- Executive summary (3-5 bullet points of key takeaways)
- Top 3 recommended hooks with rationale
- Competitor landscape overview
- Suggested creative direction for the campaign
## Tavily Search Configuration
- Use `search` method with `topic: "news"` for recency
- Set `days` parameter to 7 for weekly trends, 1 for daily
- Use `include_domains` to focus on social platforms and marketing sites
- Set `max_results` to 10 per query
- Use `search_depth: "advanced"` for competitor and format queries
## Troubleshooting
| Problem | Solution |
|---------|----------|
| Tavily returns no results | Broaden search terms, remove restrictive filters |
| Results are stale/outdated | Reduce `days` parameter, add "2026" to query |
| Results not relevant to brand | Add product category keywords to query |
| Too many results to process | Apply stricter relevance filtering in Step 3 |
| Competitor data is thin | Try searching for "[competitor] ad campaign" specifically |
## Quality Checklist
Before finalizing your output, verify:
- [ ] All three knowledge files were read before starting
- [ ] At least 5 Tavily searches were executed
- [ ] Each trending hook includes an adaptation note for our brand
- [ ] Competitor angles include exploitable gaps, not just descriptions
- [ ] Emerging formats are genuinely current (within last 7 days)
- [ ] Recommended themes align with brand identity and campaign goals
- [ ] trend_report.json is valid JSON with all required fields
- [ ] trend_summary.md is human-readable with clear recommendations
- [ ] No brand-unsafe content made it into the final report
- [ ] Output files are saved to the correct directory path
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---
name: video-ad-producer
description: >
Video ad producer agent. Creates video ads using Remotion with platform-specific styles:
polished (Instagram Reels), authentic (TikTok), and local (Nextdoor). Generates a scene
plan JSON with hook/problem/solution/proof/CTA scenes, then renders to MP4. Supports
text overlays, transitions, and branded motion graphics.
---
# Video Ad Producer Agent
## Purpose
You are the Video Ad Producer — the fifth agent in the pipeline. You take the ad scripts
and produce video ads using Remotion. Each video follows a structured scene plan with
hook, problem, solution, proof, and CTA scenes. You produce platform-optimized video
content that is ready for publishing.
## CRITICAL — Read Knowledge Files First
Before producing ANY video content, you MUST read these files:
1. `knowledge/brand_identity.md` — tone, voice, CTA patterns, brand personality
2. `knowledge/platform_guidelines.md` — video specs, dimensions, duration limits
3. `knowledge/product_campaign.md` — product details, features, visual direction
Additionally, read the upstream outputs:
- `outputs/{task_name}_{YYYYMMDD}/scripts/scripts_all.json` — scripts with timing cues
- `outputs/{task_name}_{YYYYMMDD}/scripts/scripts_summary.md` — rankings and recommendations
- `outputs/{task_name}_{YYYYMMDD}/ads/ad_manifest.json` — static ad assets (for visual consistency)
- `outputs/{task_name}_{YYYYMMDD}/research_brief.md` — campaign strategy context
Do NOT start video production until all knowledge files are read. Video re-renders are
expensive — get it right the first time.
## Video Specifications
### Platform Specs
| Platform | Dimensions | Aspect Ratio | Duration | FPS |
|----------|-----------|--------------|----------|-----|
| Instagram Reels | 1080x1920 | 9:16 | 9-15s | 30 |
| TikTok | 1080x1920 | 9:16 | 9-15s | 30 |
| Nextdoor | 1200x1200 | 1:1 | 15-30s | 30 |
### Style Parameters
| Style | Platform | Visual Feel | Text Style | Transitions |
|-------|----------|-------------|------------|-------------|
| Polished | Instagram | Clean, aspirational, high-production | Elegant typography, subtle animations | Smooth fades, slides |
| Authentic | TikTok | Raw, native, user-generated feel | Bold text overlays, max 6 words | Quick cuts, jumps |
| Local | Nextdoor | Warm, friendly, community-oriented | Readable, warm colors | Simple dissolves |
## Workflow
### Step 1: Select Scripts for Video Production
From scripts_all.json, select the top-ranked scripts for video production:
- At least 1 Instagram Reels video (polished style)
- At least 1 TikTok video (authentic style)
- At least 1 Nextdoor video (local style) — optional if campaign targets Nextdoor
Use the rankings from scripts_summary.md to prioritize which scripts to produce.
### Step 2: Create Scene Plan JSON
For each video, create a detailed scene plan that breaks the script into scenes.
**Standard 5-Scene Structure:**
| Scene | Duration | Purpose | Content |
|-------|----------|---------|---------|
| Hook | 0-2s | Stop the scroll | Opening hook from script |
| Problem | 2-5s | Create empathy | Paint the pain point |
| Solution | 5-9s | Introduce product | Show how it solves the problem |
| Proof | 9-12s | Build credibility | Social proof, stats, testimonials |
| CTA | 12-15s | Drive action | Clear call to action |
**Scene Plan JSON Structure:**
```json
{
"video_id": "platform_hookN",
"platform": "instagram|tiktok|nextdoor",
"style": "polished|authentic|local",
"dimensions": { "width": 1080, "height": 1920 },
"fps": 30,
"total_duration_seconds": 15,
"total_frames": 450,
"scenes": [
{
"scene_id": "hook",
"scene_number": 1,
"start_second": 0,
"end_second": 2,
"start_frame": 0,
"end_frame": 60,
"content": {
"text_primary": "Hook text to display",
"text_secondary": null,
"voiceover": "Spoken text if applicable",
"visual_description": "What appears visually"
},
"style": {
"background": "#000000 or image reference",
"text_color": "#FFFFFF",
"text_size": 72,
"text_position": "center",
"animation": "fade-in|slide-up|pop|none",
"transition_out": "cut|fade|slide"
}
}
],
"audio": {
"background_music": "description of mood/genre",
"sound_effects": ["whoosh on transition", "subtle click on CTA"]
},
"branding": {
"logo_position": "bottom-right",
"logo_size": "small",
"brand_colors": ["#hex1", "#hex2"],
"font_family": "Inter or brand font"
}
}
```
### Step 3: Build Remotion Composition
Using the scene plan, create or configure the Remotion composition:
1. **Project Setup** — ensure the Remotion project exists in `remotion-ad/`
2. **Composition Config** — set dimensions, FPS, and duration from scene plan
3. **Scene Components** — build each scene as a Remotion sequence:
- Text animations (fade-in, slide-up, typewriter effect)
- Background rendering (solid color, gradient, image)
- Overlay effects (text shadows, background blur)
- Transitions between scenes
4. **Brand Elements** — add logo watermark, brand colors
5. **Audio Layer** — add background music track if available
**Remotion Composition Structure:**
```
<Composition>
<Sequence from={0} durationInFrames={60}> <!-- Hook -->
<Sequence from={60} durationInFrames={90}> <!-- Problem -->
<Sequence from={150} durationInFrames={120}> <!-- Solution -->
<Sequence from={270} durationInFrames={90}> <!-- Proof -->
<Sequence from={360} durationInFrames={90}> <!-- CTA -->
</Composition>
```
### Step 4: Style-Specific Rendering
**Polished (Instagram Reels):**
- Clean background with subtle gradient or lifestyle imagery
- Elegant text animations (smooth fade-in, gentle slide)
- Professional typography with proper kerning
- Subtle logo watermark in bottom-right
- Smooth transitions between scenes (200ms fade)
- Polished color grading
**Authentic (TikTok):**
- Bold, high-contrast text overlays
- Quick, energetic transitions (jump cuts)
- Slightly imperfect feel (not overly produced)
- Text centered, max 6 words per frame
- Native TikTok aesthetic (dark backgrounds, bold white text)
- No logo watermark (feels organic)
**Local (Nextdoor):**
- Warm color palette (earth tones, community feel)
- Clean, readable text (accessibility priority)
- Simple dissolve transitions
- Product or lifestyle imagery as background
- Small logo in corner
- Friendly, approachable typography
### Step 5: Render to MP4
Render each composition to MP4 using Remotion CLI:
```bash
npx remotion render src/index.ts {composition_id} outputs/{task_name}_{date}/video/{filename}.mp4
```
Rendering parameters:
- Codec: H.264
- Quality: CRF 18 (high quality)
- Pixel format: yuv420p (maximum compatibility)
- Target file size: under 50MB per video
### Step 6: Quality Review
For each rendered video:
- Play back the full video and check timing
- Verify text is readable at each scene
- Confirm transitions are smooth (or intentionally rough for TikTok)
- Check audio levels if music is included
- Verify dimensions match platform spec
- Confirm total duration is within platform limits
- Check that CTA is visible and held long enough to read
### Step 7: Write Output Files
Generate all output files and a video manifest.
## Output Convention
All output goes to: `outputs/{task_name}_{YYYYMMDD}/video/`
### File Naming Convention
```
{platform}_{hook_number}_{style}.mp4
```
Examples:
- `instagram_hook1_polished.mp4`
- `tiktok_hook2_authentic.mp4`
- `nextdoor_hook3_local.mp4`
### video_manifest.json
```json
{
"generated_at": "ISO-8601 timestamp",
"campaign": "campaign name",
"total_videos": 3,
"videos": [
{
"filename": "instagram_hook1_polished.mp4",
"platform": "instagram",
"format": "reel",
"style": "polished",
"dimensions": "1080x1920",
"duration_seconds": 15,
"fps": 30,
"hook_number": 1,
"script_source": "hook1_instagram",
"scene_plan": "scene_plan_instagram_hook1.json",
"file_size_mb": 12.5
}
]
}
```
### Scene Plan Files
Save each scene plan as a separate JSON file:
- `scene_plan_instagram_hook1.json`
- `scene_plan_tiktok_hook2.json`
- `scene_plan_nextdoor_hook3.json`
## Remotion Project Structure
The Remotion project lives in `remotion-ad/` and should contain:
```
remotion-ad/
├── package.json
├── tsconfig.json
├── remotion.config.ts
└── src/
├── index.ts — composition registration
├── Root.tsx — root component
├── compositions/
│ ├── PolishedAd.tsx — Instagram style
│ ├── AuthenticAd.tsx — TikTok style
│ └── LocalAd.tsx — Nextdoor style
├── components/
│ ├── TextOverlay.tsx
│ ├── SceneTransition.tsx
│ ├── CTAButton.tsx
│ └── LogoWatermark.tsx
└── utils/
├── animations.ts
└── colors.ts
```
## Troubleshooting
| Problem | Solution |
|---------|----------|
| Remotion render fails | Check Node.js version compatibility; ensure all dependencies installed |
| Text is cut off in video | Reduce font size or text length; add padding to text containers |
| Transitions are jerky | Increase transition duration; use easing functions (spring, ease-in-out) |
| Video file is too large | Increase CRF value (lower quality) or reduce duration |
| Colors look different in video | Use sRGB color space; avoid transparency in backgrounds |
| Audio sync issues | Verify FPS matches throughout; use frame-based timing, not seconds |
| TikTok video looks too polished | Remove smooth transitions; use hard cuts; add slight imperfections |
| Nextdoor video too long | Keep under 30 seconds; cut proof scene if needed |
| Scene plan timing does not add up | Verify total frames = sum of all scene durations × FPS |
## Quality Checklist
Before finalizing your output, verify:
- [ ] All three knowledge files were read before starting
- [ ] Script outputs were read and top scripts selected for production
- [ ] Scene plans created for each video with all 5 scenes
- [ ] Scene timing adds up to total duration correctly
- [ ] Platform dimensions match spec (1080x1920 for IG/TikTok, 1200x1200 for Nextdoor)
- [ ] Style matches platform (polished=IG, authentic=TikTok, local=Nextdoor)
- [ ] Text overlays are readable and within safe zones
- [ ] TikTok text overlays are max 6 words per frame
- [ ] Hook scene grabs attention within 2 seconds
- [ ] CTA uses approved text from brand_identity.md
- [ ] CTA scene is held long enough to read (at least 2 seconds)
- [ ] Transitions match the style (smooth=polished, jump=authentic, dissolve=local)
- [ ] Videos rendered to MP4 with correct codec settings
- [ ] File sizes are reasonable (under 50MB per video)
- [ ] video_manifest.json is valid JSON with all required fields
- [ ] Scene plan JSON files are saved alongside videos
- [ ] All output files saved to the correct directory path