feat(shorts): AI agent tips category — ideas, script structure, tips voice, category column
This commit is contained in:
asepharyana
@@ -45,3 +45,4 @@ yarn-error.log*
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next-env.d.ts
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.env*.local
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/services/client-pulse-bot/dist/
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/tmp/checkcat.mjs
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@@ -133,6 +133,7 @@ model YoutubeIdea {
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funnelStage String?
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status String @default("pending")
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rejectedReason String?
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category String? @default("brands")
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sourceUrl String?
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sourceSummary String?
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competitionScore String? // "gap" | "moderate" | "crowded"
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@@ -172,6 +173,8 @@ model YoutubeScript {
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// Source content (tweet/thread/news) rendered as visual cards
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sourceUrl String?
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sourceData Json?
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// Content category (brands | ai-agent-tips | ...)
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category String? @default("brands")
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createdAt DateTime @default(now())
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updatedAt DateTime @updatedAt
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@@ -29,6 +29,7 @@ const EDGE_TTS_BIN =
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? "/home/code/.hermes/hermes-agent/venv/bin/edge-tts"
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: "edge-tts");
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const VOICE = process.env.TTS_VOICE || "en-US-ChristopherNeural";
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const VOICE_TIPS = process.env.TTS_VOICE_TIPS || "en-US-GuyNeural"; // tech/explainer
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const CHROME = process.env.CHROME_BIN || "/usr/bin/google-chrome-stable";
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const MAX_TOTAL_SEC = 60;
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const FPS = 30;
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@@ -111,12 +112,12 @@ function sh(cmd, args, opts = {}) {
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return r;
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}
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function tts(text, outBase) {
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function tts(text, outBase, voice = VOICE) {
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const out = `${outBase}.mp3`;
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const srt = `${outBase}.sentences.json`;
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sh(
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TTS_PYTHON,
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[TTS_WORDS_PY, text, VOICE, out, srt],
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[TTS_WORDS_PY, text, voice, out, srt],
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{ timeout: 60_000, env: { ...process.env } }
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);
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let sentences = [];
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@@ -166,18 +167,29 @@ function extractStatData(text) {
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/** Build segment text list from a YoutubeScript's structured fields. */
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function buildSegments(script) {
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const isTips = script.category === "ai-agent-tips";
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const segs = [];
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const push = (text, label, highlight) => {
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const clean = (text || "").trim();
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const chunk = clean.length > 180 ? clean.slice(0, 180) + "…" : clean;
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if (chunk) segs.push({ text: chunk, label, highlight });
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};
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// For AI-agent tips: labels = MISTAKE / THE FIX instead of THE STORY / ...
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if (isTips) {
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push(script.hook, "HOOK", script.hook);
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push(script.onScreenText, "ON SCREEN", script.onScreenText);
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push(script.storySetup, "THE MISTAKE", null);
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push(script.conflict, "WHY IT FAILS", null);
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push(script.insight, "THE FIX", null);
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push(script.cta, "CTA", null);
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} else {
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push(script.hook, "HOOK", script.hook);
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push(script.onScreenText, "ON SCREEN", script.onScreenText);
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push(script.storySetup, "THE STORY", null);
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push(script.conflict, "THE CONFLICT", null);
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push(script.insight, "THE INSIGHT", null);
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push(script.cta, "CTA", null);
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}
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if (segs.length === 0) push(script.fullScript || script.title, script.title || "SHORTS", null);
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return segs;
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}
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@@ -194,7 +206,7 @@ async function renderScript(script) {
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const voiced = [];
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for (let i = 0; i < baseSegs.length; i++) {
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const s = baseSegs[i];
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const t = tts(s.text, path.join(work, `seg${i}`));
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const t = tts(s.text, path.join(work, `seg${i}`), script.category === "ai-agent-tips" ? VOICE_TIPS : VOICE);
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voiced.push({ ...s, ...t });
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log(`[${id}] seg${i}: ${t.durationSec.toFixed(2)}s "${s.text.slice(0, 40)}"`);
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}
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@@ -45,8 +45,9 @@ function fetchArticle(url: string): string {
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}
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export async function POST(req: NextRequest) {
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const { topic, sourceUrl, sourceSummary } = await req.json();
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const { topic, sourceUrl, sourceSummary, category } = await req.json();
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if (!topic) return NextResponse.json({ error: "topic required" }, { status: 400 });
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const isTips = category === "ai-agent-tips";
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const apiKey = process.env.OPENAI_API_KEY || "";
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const braveKey = process.env.BRAVE_API_KEY || "";
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@@ -171,20 +172,25 @@ ${sourceContext || "No sources available — be EXTRA cautious with claims, hedg
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- Include a "factClaims" array listing every specific factual claim in the script (dates, numbers, events, quotes)
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- Each claim MUST be traceable to the source material above
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## THE USER'S ANGLE
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## THE USER'S ANGLE${isTips ? `
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- Builds and ships AI agents (coding agents, MCP, agent loops) — the tips are for OTHER builders
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- Voice: direct, first-principles, tells you the mistake you are probably making
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- Every tip must be concrete and actionable — no fluff
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- The viewer is technical: they write code and wire tools together
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- Ground each tip in a real failure/lesson: "I ran this in production and learned X"` : `
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- Runs a marketing-focused business
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- Content: founder branding, marketing, distribution > product, culture > features
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- Voice: conversational, no fancy words, lowercase energy, real numbers, honest/vulnerable
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${pastScriptsRef}
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${feedbackContext}
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- Voice: conversational, no fancy words, lowercase energy, real numbers, honest/vulnerable`}
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${pastScriptsRef}
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${feedbackContext}
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OUTPUT FORMAT — valid JSON only:
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{
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"title": "Brand/Person — Core Lesson (short)",
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"hook": "Opening 2-4 lines. Scroll-stopping.",
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"storySetup": "The backstory context. 3-5 sentences.",
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"conflict": "The tension pivot or controversial statement. 3-5 sentences.",
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"insight": "The aha moment payoff lesson for founders. 3-5 sentences.",
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"hook": "Opening 2-4 lines. Scroll-stopping.${isTips ? " Lead with the COMMON MISTAKE or counter-intuitive truth about AI agents." : ""}",
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"storySetup": "The backstory context. 3-5 sentences.${isTips ? " The situation: why builders get this wrong." : ""}",
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"conflict": "The tension pivot or controversial statement. 3-5 sentences.${isTips ? " The failure mode / what everyone does that backfires." : ""}",
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"insight": "The aha moment payoff lesson for founders. 3-5 sentences.${isTips ? " THE concrete fix/pattern — specific, actionable, names the tool/technique." : ""}",
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"cta": "One clear action. One line.",
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"caption": "One punchy line without spoilers.",
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"onScreenText": "What appears on screen during the hook",
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@@ -33,7 +33,11 @@ function braveSearch(query: string, braveKey: string, count = 5): { title: strin
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}
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}
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export async function POST() {
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export async function POST(req?: Request) {
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const body = req ? await req.json().catch(() => ({})) : {};
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const category: string = body.category || "brands";
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const isTips = category === "ai-agent-tips";
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const apiKey = process.env.OPENAI_API_KEY || "";
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const braveKey = process.env.BRAVE_API_KEY || "";
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if (!apiKey) return NextResponse.json({ error: "No API key" }, { status: 500 });
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@@ -65,10 +69,19 @@ export async function POST() {
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try { coveredTopics = fs.readFileSync(SCRIPTS_FILE, "utf-8").match(/### .+/g)?.join(", ") || ""; } catch { /* ok - file may not exist on Vercel */ }
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// -- STEP 1: Ask GPT to generate search queries --
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const queryGenResult = callOpenAI(apiKey, {
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model: "gpt-4o-mini",
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messages: [
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{ role: "system", content: `You generate search queries to find fascinating REAL stories about brands, businesses, and cultural moments for a viral short-form video creator.
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const querySystem = isTips
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? `You generate search queries to find practical, actionable AI AGENT tips and best practices for a viral short-form video creator.
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The creator makes videos for builders/developers who ship AI agents (coding agents, MCP servers, tool-using LLMs, agent loops).
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Topics to cover: agent architecture, tool design, context window management, evals/testing, prompt engineering for agents, MCP, sub-agents, cost control, reliability/failure modes, memory, permissions/safety, orchestration patterns.
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Generate 10 diverse search queries for REAL, concrete tips (engineering blogs, docs, HN discussions, practitioner posts). Prefer "best practices", "lessons learned", "common mistakes", "how to", "patterns".
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DO NOT search for ideas already generated: ${existingTitles}
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${rejectionContext}
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Output JSON: {"queries":["search query 1","search query 2",...]}`
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: `You generate search queries to find fascinating REAL stories about brands, businesses, and cultural moments for a viral short-form video creator.
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The creator covers a WIDE mix: mainstream brands (Red Bull, Nike, Barbie, Tesla, Apple, McDonald's, etc.), tech, pop culture, and business strategy. Most videos are about mainstream brands with a marketing/founder lesson.
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@@ -81,8 +94,15 @@ DO NOT search for stories already covered: ${coveredTopics}
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DO NOT search for ideas already generated: ${existingTitles}
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${rejectionContext}
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Output JSON: {"queries":["search query 1","search query 2",...]}` },
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{ role: "user", content: "10 diverse search queries for fascinating real stories. Mix mainstream brands, crypto, pop culture." }
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Output JSON: {"queries":["search query 1","search query 2",...]}`;
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const queryGenResult = callOpenAI(apiKey, {
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model: "gpt-4o-mini",
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messages: [
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{ role: "system", content: querySystem },
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{ role: "user", content: isTips
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? "10 diverse search queries for real, actionable AI agent tips and lessons."
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: "10 diverse search queries for fascinating real stories. Mix mainstream brands, crypto, pop culture." }
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],
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temperature: 0.95,
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response_format: { type: "json_object" }
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@@ -104,10 +124,23 @@ Output JSON: {"queries":["search query 1","search query 2",...]}` },
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).join("\n\n");
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// -- STEP 3: Feed real articles to GPT to create ideas --
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const ideaGenResult = callOpenAI(apiKey, {
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model: "gpt-4o-mini",
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messages: [
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{ role: "system", content: `You create viral short-form video ideas for the user based on REAL articles and stories found via web search.
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const ideaSystem = isTips
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? `You create viral short-form video IDEAS about practical AI AGENT tips for builders, based on REAL articles found via web search.
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CRITICAL RULES:
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- Each idea MUST be one concrete, actionable tip/lesson from the search results below
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- Each idea MUST include a sourceUrl from the search results
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- Each idea MUST include a sourceSummary (1-2 sentence summary of the real tip/lesson)
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- Hook must stop the scroll in 3 seconds — lead with a common MISTAKE or counter-intuitive truth
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- Examples of strong hooks: "Your AI agent fails because of one missing tool", "Stop giving your agent 40 tools", "Nobody tells you this about MCP servers"
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- The angle must name a SPECIFIC technique/tool/pattern (MCP, tool schemas, evals, context pruning, sub-agents...) — never vague "use AI better"
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- Mix funnel stages: 5 TOF (wide builder appeal), 3 MOF (specific workflows), 2 BOF (advanced architecture)
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- DO NOT repeat these existing ideas: ${existingTitles}
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- Each hook should have normal punctuation (commas, periods)
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${rejectionContext}
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Output JSON: {"ideas":[{"title":"short title","hook":"2-3 line spoken word scroll-stopper","angle":"specific technique/pattern","hookType":"observation|experience|expert|controversial","funnelStage":"TOF|MOF|BOF","sourceUrl":"url from search results","sourceSummary":"1-2 sentence summary of the real tip"}]}`
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: `You create viral short-form video ideas for the user based on REAL articles and stories found via web search.
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CRITICAL RULES:
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- Each idea MUST be based on a REAL story from the search results below
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@@ -124,8 +157,15 @@ CRITICAL RULES:
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- Always name the SPECIFIC brand/person — never be vague
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${rejectionContext}
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Output JSON: {"ideas":[{"title":"short title","hook":"2-3 line spoken word scroll-stopper","angle":"founder/crypto lesson","hookType":"observation|experience|expert|controversial","funnelStage":"TOF|MOF|BOF","sourceUrl":"url from search results","sourceSummary":"1-2 sentence summary of the real story"}]}` },
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{ role: "user", content: `Based on these REAL articles found via web search, create 10 video ideas. Each idea MUST reference a real story and include the source URL.\n\nSEARCH RESULTS:\n${searchContext}\n\nMake the hooks FIRE.` }
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Output JSON: {"ideas":[{"title":"short title","hook":"2-3 line spoken word scroll-stopper","angle":"founder/crypto lesson","hookType":"observation|experience|expert|controversial","funnelStage":"TOF|MOF|BOF","sourceUrl":"url from search results","sourceSummary":"1-2 sentence summary of the real story"}]}`;
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const ideaGenResult = callOpenAI(apiKey, {
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model: "gpt-4o-mini",
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messages: [
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{ role: "system", content: ideaSystem },
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{ role: "user", content: isTips
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? `Based on these REAL articles found via web search, create 10 AI AGENT TIP video ideas. Each idea MUST be one concrete tip and include the source URL.\n\nSEARCH RESULTS:\n${searchContext}\n\nMake the hooks FIRE.`
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: `Based on these REAL articles found via web search, create 10 video ideas. Each idea MUST reference a real story and include the source URL.\n\nSEARCH RESULTS:\n${searchContext}\n\nMake the hooks FIRE.` }
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],
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temperature: 0.85,
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response_format: { type: "json_object" }
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@@ -149,6 +189,7 @@ Output JSON: {"ideas":[{"title":"short title","hook":"2-3 line spoken word scrol
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angle: idea.angle || null,
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hookType: idea.hookType || null,
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funnelStage: idea.funnelStage || null,
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category,
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status: "pending",
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},
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});
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@@ -22,15 +22,17 @@ const LongformTab = dynamic(() => import("@/app/longform/page"), { ssr: false, l
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const OutlierFeed = dynamic(() => import("@/components/OutlierFeed"), { ssr: false, loading: () => <TabSkeleton /> });
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interface Idea {
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id: string;
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title: string;
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hook: string;
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angle: string;
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hook?: string;
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angle?: string;
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hookType?: string;
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funnelStage?: string;
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rejectedReason?: string;
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status?: "pending" | "rejected" | "approved";
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category?: string;
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sourceUrl?: string;
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sourceSummary?: string;
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rejectedReason?: string;
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status?: "pending" | "rejected" | "approved";
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}
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interface Script {
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@@ -82,6 +84,7 @@ export default function YouTubePage() {
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const [batchGenerating, setBatchGenerating] = useState(false);
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const [ideaTab, setIdeaTab] = useState<"pending" | "rejected">("pending");
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const [scriptTab, setScriptTab] = useState<"draft" | "approved" | "rejected">("draft");
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const [ideaCategory, setIdeaCategory] = useState<"brands" | "ai-agent-tips">("brands");
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const [rejectModal, setRejectModal] = useState<{ type: "idea" | "script"; id: string; title: string } | null>(null);
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const rejectRef = React.useRef<HTMLTextAreaElement>(null);
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@@ -139,7 +142,7 @@ export default function YouTubePage() {
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const res = await fetch("/api/youtube/generate", {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify({ topic: `${idea.title}. Hook angle: ${idea.hook}. Lesson: ${idea.angle}`, sourceUrl: idea.sourceUrl, sourceSummary: idea.sourceSummary }),
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body: JSON.stringify({ topic: `${idea.title}. Hook angle: ${idea.hook}. Lesson: ${idea.angle}`, sourceUrl: idea.sourceUrl, sourceSummary: idea.sourceSummary, category: idea.category || ideaCategory }),
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});
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if (res.ok) {
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const data = await res.json();
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@@ -629,11 +632,24 @@ export default function YouTubePage() {
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}}
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>{batchGenerating ? `✨ Generating ${selectedIdeas.size}...` : `Generate ${selectedIdeas.size} Script${selectedIdeas.size > 1 ? "s" : ""}`}</Button>
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)}
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<select
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value={ideaCategory}
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onChange={(e) => setIdeaCategory(e.target.value as "brands" | "ai-agent-tips")}
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className="text-xs bg-[var(--surface)] border border-[var(--border)] rounded-lg px-2 py-1.5 text-[var(--muted)]"
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title="Content category for idea generation"
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>
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<option value="brands">Brands & Founders</option>
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<option value="ai-agent-tips">AI Agent Tips</option>
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</select>
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<Button size="sm" variant="ghost" disabled={generatingIdeas}
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onClick={async () => {
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setGeneratingIdeas(true);
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try {
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const res = await fetch("/api/youtube/ideas/generate", { method: "POST" });
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const res = await fetch("/api/youtube/ideas/generate", {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify({ category: ideaCategory }),
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});
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if (res.ok) fetchIdeas();
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} catch { /* empty */ }
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setGeneratingIdeas(false);
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