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66c2bbec8b
- 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>
71 lines
2.0 KiB
JavaScript
71 lines
2.0 KiB
JavaScript
import { tavily } from "@tavily/core";
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import { writeFileSync, mkdirSync } from "fs";
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import { join } from "path";
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const OUTPUT_DIR = join(
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import.meta.dirname,
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"..",
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"outputs",
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"task_management_feature_launch_20260323"
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);
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const queries = [
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"home maintenance app download conversion strategies app store optimization 2026",
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"homeowner forgot maintenance costly repair stories real examples",
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"mobile app Instagram Reels ad creative best practices high CTR 2026",
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"TikTok home improvement property management app ads that convert",
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"millennial first time homeowner maintenance anxiety solutions apps",
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];
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async function runResearch() {
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const client = tavily({ apiKey: process.env.TAVILY_API_KEY });
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const results = [];
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for (const query of queries) {
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console.log(`Researching: "${query}"`);
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try {
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const response = await client.search(query, {
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searchDepth: "advanced",
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maxResults: 10,
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});
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results.push({
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query,
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timestamp: new Date().toISOString(),
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resultCount: response.results.length,
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results: response.results.map((r) => ({
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title: r.title,
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url: r.url,
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content: r.content,
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score: r.score,
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})),
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});
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console.log(` → ${response.results.length} results`);
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} catch (err) {
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console.error(` ✗ Error for "${query}": ${err.message}`);
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results.push({
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query,
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timestamp: new Date().toISOString(),
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resultCount: 0,
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results: [],
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error: err.message,
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});
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}
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}
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const output = {
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generatedAt: new Date().toISOString(),
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agent: "marketing-research",
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campaign: "task_management_feature_launch",
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queryCount: queries.length,
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queries,
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results,
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};
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mkdirSync(OUTPUT_DIR, { recursive: true });
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const outPath = join(OUTPUT_DIR, "research_results.json");
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writeFileSync(outPath, JSON.stringify(output, null, 2));
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console.log(`\nSaved: ${outPath}`);
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}
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runResearch();
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