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Natural Bacon Flavor.\nMECHANISM: Colony Collapse Protocol — yeast forms colonies 1000x more resistant than free-floating cells. Every surface treatment attacks from outside. Natur enters via bloodstream — the one direction the colony cannot defend.\nTHREE TEAMS: Colony Killers (Pau D'Arco + Goldenseal) | Environment Shifters (ACV + Ginger) | Rebuilders (Dandelion + Marshmallow Root)\nPRIMARY AVATAR: Dog owner 35-65, cycling through failed treatments for months/years, frustrated, feels like they are failing their dog.\nHOOK TYPES: Colony Reframe | Failed Treatment | Symptom Desperation | Relapse Cycle | Natural Seeker | Guilt/Helplessness\nCOPY RULES: Consequence-first. Call out Apoquel/antibiotics/medicated shampoo by name. Tone: raw, direct, slightly pissed off. NEVER say biofilm — use ant colony analogy.\n`;\n\nconst VSL_BRIEF = `\nPRODUCT: Natur Yeast Control — liquid drops added to dog food. Natural Bacon Flavor.\nPRICE: [INSERT PRICE] | GUARANTEE: [INSERT GUARANTEE]\n\nCORE MECHANISM: Dogs do not have a yeast INFECTION. They have a yeast COLONY.\nYeast organizes into fortresses up to 1000x more resistant than free-floating cells.\nAnt colony analogy: kill surface ants all day. The colony underground sends more.\nEvery conventional treatment attacks from the OUTSIDE. Natur enters via bloodstream — the one direction the colony cannot defend.\n\nTHREE TEAMS:\n- Colony Killers (Pau D'Arco + Goldenseal): penetrate colony from inside, disrupt structure and communication.\n- Environment Shifters (ACV + Ginger): shift internal pH to make gut hostile. Make recolonization impossible.\n- Rebuilders (Dandelion + Marshmallow Root): flush mycotoxins, rebuild gut lining and natural barriers.\n\nVSL RULES:\n- NEVER say biofilm — use ant colony analogy only\n- Call out Apoquel, antibiotics, medicated shampoo by name\n- Tone: raw, direct, slightly pissed off\n- Single CTA at end, must restate guarantee\n`;\n\n// ─── BRAVE ───────────────────────────────────────────────────────────────────\n\nasync function runBraveSearch(query: string): Promise {\n const params = new URLSearchParams({ q: query, count: String(RESULTS_PER_QUERY), search_lang: \"en\", text_decorations: \"false\" });\n const res = await fetch(`https://api.search.brave.com/res/v1/web/search?${params}`, {\n headers: { Accept: \"application/json\", \"Accept-Encoding\": \"gzip\", \"X-Subscription-Token\": Deno.env.get(\"BRAVE_API_KEY\")! },\n });\n if (!res.ok) { console.error(`Brave error \"${query}\": ${res.status}`); return []; }\n const data = await res.json();\n return data?.web?.results ?? [];\n}\n\nasync function fetchAllResults(): Promise {\n console.log(`[1/5] Running ${SEARCH_QUERIES.length} Brave searches...`);\n const seen = new Set();\n const all: any[] = [];\n for (const query of SEARCH_QUERIES) {\n const results = await runBraveSearch(query);\n for (const r of results) {\n const id = btoa(r.url).replace(/[^a-zA-Z0-9]/g, \"\").slice(0, 32);\n if (!seen.has(id) && (r.description?.length ?? 0) > 40) { seen.add(id); all.push({ ...r, id, query }); }\n }\n await new Promise((r) => setTimeout(r, 1100));\n }\n console.log(` ✓ ${all.length} unique results`);\n return all;\n}\n\n// ─── SQLITE ───────────────────────────────────────────────────────────────────\n\nasync function initDb() {\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS natur_research (\n id TEXT PRIMARY KEY, title TEXT, url TEXT, description TEXT, source TEXT, query TEXT,\n hook_type TEXT, pain_sentence TEXT, hook_draft TEXT, failed_treatments TEXT,\n angle_strength TEXT, vsl_worthy INTEGER, note TEXT, seen_at INTEGER\n )`);\n}\n\nasync function filterUnseen(results: any[]): Promise {\n if (!results.length) return [];\n const ids = results.map((r) => `'${r.id}'`).join(\",\");\n const existing = await sqlite.execute(`SELECT id FROM natur_research WHERE id IN (${ids})`);\n const seenIds = new Set(existing.rows.map((row: any) => row[0]));\n return results.filter((r) => !seenIds.has(r.id));\n}\n\nasync function saveResults(results: any[], analyses: any[]) {\n if (!results.length) return;\n const now = Math.floor(Date.now() / 1000);\n for (let i = 0; i < results.length; i++) {\n const r = results[i];\n const a = analyses[i] ?? {};\n let source = \"\";\n try { source = new URL(r.url).hostname.replace(\"www.\", \"\"); } catch { source = \"\"; }\n await sqlite.execute({\n sql: `INSERT OR IGNORE INTO natur_research (id,title,url,description,source,query,hook_type,pain_sentence,hook_draft,failed_treatments,angle_strength,vsl_worthy,note,seen_at) VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?)`,\n args: [r.id, r.title ?? \"\", r.url ?? \"\", r.description ?? \"\", source, r.query, a.hook_type ?? \"\", a.pain_sentence ?? \"\", a.hook_draft ?? \"\", JSON.stringify(a.failed_treatments_mentioned ?? []), a.angle_strength ?? \"\", a.vsl_worthy ? 1 : 0, a.note ?? \"\", now],\n });\n }\n await sqlite.execute(`DELETE FROM natur_research WHERE seen_at < ${Math.floor(Date.now() / 1000) - 30 * 86400}`);\n}\n\nasync function getRecentSignals(): Promise {\n const cutoff = Math.floor(Date.now() / 1000) - 7 * 86400;\n try {\n const result = await sqlite.execute({ sql: `SELECT * FROM natur_research WHERE seen_at > ? ORDER BY vsl_worthy DESC, seen_at DESC LIMIT 20`, args: [cutoff] });\n return result.rows.map((row: any) => ({\n id: row[0], title: row[1], url: row[2], description: row[3], source: row[4], query: row[5],\n hook_type: row[6], pain_sentence: row[7], hook_draft: row[8],\n failed_treatments: JSON.parse(row[9] || \"[]\"), angle_strength: row[10],\n vsl_worthy: row[11] === 1, note: row[12], seen_at: row[13],\n }));\n } catch { return []; }\n}\n\n// ─── STEFAN ANALYSIS ─────────────────────────────────────────────────────────\n\nasync function callStefan(message: string): Promise {\n const res = await fetch(`${Deno.env.get(\"STEFAN_HOST\")}/api/developers/v1/chat`, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\", Authorization: `Bearer ${Deno.env.get(\"STEFAN_API_KEY\")}` },\n body: JSON.stringify({ message, selectedModel: \"sonnet\" }),\n });\n const data = await res.json();\n if (!data.output) throw new Error(\"Stefan error: \" + JSON.stringify(data));\n return data.output.trim();\n}\n\nasync function analyzeWithStefan(results: any[]): Promise {\n if (!results.length) return [];\n console.log(`[3/5] Analyzing ${results.length} results with Stefan...`);\n const BATCH = 8;\n const all: any[] = [];\n for (let i = 0; i < results.length; i += BATCH) {\n const batch = results.slice(i, i + BATCH);\n const text = batch.map((r, idx) => {\n let host = \"\";\n try { host = new URL(r.url).hostname; } catch { host = \"unknown\"; }\n return `RESULT ${idx + 1} [${host}]\\nTitle: ${r.title}\\nSnippet: ${r.description}\\nQuery: ${r.query}`;\n }).join(\"\\n\\n---\\n\\n\");\n\n const prompt = `You are a direct response copywriter analyzing web results for Natur Yeast Control.\\n\\n${NATURPETS_CONTEXT}\\n\\nAnalyze each result. Return a JSON array, one object per result, same order.\\n\\nEach object:\\n{\"hook_type\":\"Colony Reframe\"|\"Failed Treatment\"|\"Symptom Desperation\"|\"Relapse Cycle\"|\"Natural Seeker\"|\"Guilt/Helplessness\"|\"General Pain\"|\"Not Useful\",\"pain_sentence\":\"exact words max 20 words or empty\",\"hook_draft\":\"consequence-first hook max 15 words or empty\",\"failed_treatments_mentioned\":[],\"angle_strength\":\"🔥 Strong\"|\"⚡ Moderate\"|\"❄️ Weak\",\"vsl_worthy\":true,\"note\":\"one insight max 12 words\"}\\n\\nReturn ONLY the JSON array.\\n\\nRESULTS:\\n${text}`;\n\n try {\n const output = await callStefan(prompt);\n const parsed = JSON.parse(output.replace(/```json|```/g, \"\").trim());\n all.push(...parsed);\n } catch (e: any) {\n console.error(`Stefan analysis batch failed:`, e.message);\n batch.forEach(() => all.push({ hook_type: \"General Pain\", pain_sentence: \"\", hook_draft: \"\", failed_treatments_mentioned: [], angle_strength: \"❄️ Weak\", vsl_worthy: false, note: \"\" }));\n }\n if (i + BATCH < results.length) await new Promise((r) => setTimeout(r, 500));\n }\n return all;\n}\n\n// ─── HOOKS + VSL ─────────────────────────────────────────────────────────────\n\nasync function generateHooks(signals: any[]): Promise {\n console.log(\"[VSL 1/2] Generating vicious hooks...\");\n const painPoints = signals.filter((s) => s.pain_sentence).slice(0, 6).map((s) => `\"${s.pain_sentence}\" [${s.hook_type}]`).join(\"\\n\");\n const treatments = [...new Set(signals.flatMap((s) => s.failed_treatments))].filter(Boolean);\n\n const prompt = `You are a direct-response copywriter writing hooks for Natur Yeast Control dog supplement.\n\nPRODUCT: Liquid drops added to dog food that collapse a yeast COLONY from inside via bloodstream. Apoquel, antibiotics, medicated shampoo all fail because they attack from outside while the colony rebuilds from within.\n\nAVATAR: Dog owner who has cycled through failed treatments for months. Frustrated, spent real money, feels like they are failing their dog.\n\nREAL PAIN LANGUAGE this week:\n${painPoints || \"dog scratching constantly, ear infections keep coming back, tried everything nothing works\"}\n\nTREATMENTS MENTIONED: ${treatments.join(\", \") || \"Apoquel, antibiotics, medicated shampoo\"}\n\nVICIOUS HOOK RULES (apply all 8):\n1. Call out their specific pain in first 10-20 words — impossible to opt out\n2. Germanic charged words: stink, bleed, scratch, raw, kill, waste. NOT: excessive, synthetic, severe\n3. Open a loop they have to close\n4. Lead with consequence — what happens TO THEM, not how the product works\n5. Specificity: \"1000x more resistant\" not \"much more resistant\", name Apoquel not \"medication\"\n6. Reads like a confession or story — NOT an ad\n7. Short punchy words — blunt always beats fancy\n8. Consequence first, mechanism later\n\nHOOK BATTERY TYPES to draw from:\n- Curiosity: open a knowledge gap they must close\n- Fear: surface a real cost they have not considered\n- Desire: paint the outcome with concrete detail\n- Social Proof: reference real or plausible proof\n- Contrarian: challenge advice they have actually heard\n\nGenerate 3 hooks total — the 3 strongest across all types. Every hook must make a dog owner whisper \"oh god that is me.\"\n\nReturn ONLY a numbered list:\n1. [hook]\n2. [hook]\n3. [hook]`;\n\n return await callStefan(prompt);\n}\n\nasync function generateVSL(signals: any[]): Promise<{ script: string; hooks: string; wordCount: number }> {\n console.log(\"[VSL 2/2] Generating script...\");\n const hooks = await generateHooks(signals);\n const painPoints = signals.filter((s) => s.pain_sentence).slice(0, 8).map((s, i) => `${i + 1}. \"${s.pain_sentence}\" [${s.hook_type}]`).join(\"\\n\");\n const treatments = [...new Set(signals.flatMap((s) => s.failed_treatments))].filter(Boolean);\n\n const prompt = `You are an expert direct-response copywriter using RMBC framework by Stefan Georgi.\n\n${VSL_BRIEF}\n\nREAL PAIN LANGUAGE from this week:\n${painPoints || \"dog scratching constantly, ear infections keep coming back, tried Apoquel nothing works\"}\n\nVICIOUS HOOKS — open the VSL with the strongest one, do not water it down:\n${hooks}\n\nFAILED TREATMENTS mentioned by real dog owners: ${treatments.join(\", \") || \"Apoquel, antibiotics, medicated shampoo\"}\n\nWrite a SHORT VSL script — strictly 5 minutes or under (750 words max at 150 wpm).\n\nStructure:\n### [0:00-0:20] HOOK\n### [0:20-1:00] PROBLEM + FAILED SOLUTIONS\n### [1:00-2:30] MECHANISM REVEAL\n### [2:30-3:30] PRODUCT + PROOF\n### [3:30-4:30] OFFER + GUARANTEE\n### [4:30-5:00] CLOSE + CTA\n\nRules:\n- Each section: Script: [voiceover only]\n- Hook: use one of the vicious hooks above verbatim, no softening\n- Failed Solutions: name Apoquel and antibiotics, one sentence each on why they fail through the colony lens\n- Mechanism: ant colony analogy only, never the word biofilm\n- Single CTA at end, must restate guarantee\n- STRICT 750 word limit\n\nEnd with:\n## Production Notes\n- Word count and runtime`;\n\n const script = await callStefan(prompt);\n const wordCount = script.split(/\\s+/).length;\n console.log(` ✓ ${wordCount} words (~${Math.round(wordCount / 150)} min)`);\n return { script, hooks, wordCount };\n}\n\n// ─── DISCORD ─────────────────────────────────────────────────────────────────\n\nconst HOOK_EMOJI: Record = {\n \"Colony Reframe\": \"🐜\", \"Failed Treatment\": \"💊\", \"Symptom Desperation\": \"😰\",\n \"Relapse Cycle\": \"🔄\", \"Natural Seeker\": \"🌿\", \"Guilt/Helplessness\": \"💔\",\n \"General Pain\": \"📌\", \"Not Useful\": \"⬜\",\n};\n\nasync function postResearchToDiscord(results: any[], analyses: any[], totalScanned: number) {\n const webhook = Deno.env.get(\"DISCORD_WEBHOOK_NATUR\")!;\n const strong = analyses.filter((a) => a.angle_strength === \"🔥 Strong\").length;\n const vslWorthy = analyses.filter((a) => a.vsl_worthy).length;\n\n await fetch(webhook, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({\n content: [\n `**🐾 Natur Research Feed** — ${new Date().toUTCString()}`,\n `Scanned **${totalScanned}** results → **${results.length} new matches**`,\n `🔥 ${strong} strong | 🎬 ${vslWorthy} VSL-worthy`,\n ].join(\"\\n\"),\n }),\n });\n\n if (!results.length) {\n await fetch(webhook, { method: \"POST\", headers: { \"Content-Type\": \"application/json\" }, body: JSON.stringify({ content: \"_No new matches this run._\" }) });\n return;\n }\n\n const useful = results\n .map((r, i) => ({ r, a: analyses[i] }))\n .filter(({ a }) => a?.hook_type !== \"Not Useful\")\n .sort((x, y) => {\n const s = (a: any) => (a?.vsl_worthy ? 2 : 0) + (a?.angle_strength === \"🔥 Strong\" ? 1 : 0);\n return s(y.a) - s(x.a);\n });\n\n const embeds = useful.map(({ r, a }) => {\n const fields: any[] = [];\n if (a.pain_sentence) fields.push({ name: \"💬 Pain Language\", value: `*\"${a.pain_sentence}\"*`, inline: false });\n if (a.hook_draft) fields.push({ name: \"✍️ Hook Draft\", value: `**${a.hook_draft}**`, inline: false });\n if (a.failed_treatments_mentioned?.length) fields.push({ name: \"💊 Treatments\", value: a.failed_treatments_mentioned.join(\", \"), inline: false });\n if (a.note) fields.push({ name: \"🎯 Note\", value: a.note, inline: false });\n fields.push({ name: \"Signal\", value: `${a.angle_strength}${a.vsl_worthy ? \" | 🎬 VSL\" : \"\"}`, inline: true });\n fields.push({ name: \"Type\", value: `${HOOK_EMOJI[a.hook_type] ?? \"📌\"} ${a.hook_type}`, inline: true });\n let host = \"\";\n try { host = new URL(r.url).hostname.replace(\"www.\", \"\"); } catch { host = \"\"; }\n return {\n title: r.title?.slice(0, 250), url: r.url, description: r.description?.slice(0, 180),\n color: r.url?.includes(\"reddit\") ? 0xe74c3c : 0xe67e22,\n fields,\n footer: { text: `${host} • \"${r.query?.slice(0, 55)}\"` },\n };\n });\n\n for (let i = 0; i < embeds.length; i += 10) {\n await fetch(webhook, { method: \"POST\", headers: { \"Content-Type\": \"application/json\" }, body: JSON.stringify({ embeds: embeds.slice(i, i + 10) }) });\n if (i + 10 < embeds.length) await new Promise((r) => setTimeout(r, 500));\n }\n}\n\n// ─── GOOGLE DOC ───────────────────────────────────────────────────────────────\n\nasync function writeGoogleDoc(vsl: { script: string; hooks: string; wordCount: number }, signals: any[]): Promise {\n const token = Deno.env.get(\"GOOGLE_TOKEN\");\n const folderId = Deno.env.get(\"GOOGLE_DRIVE_FOLDER\");\n if (!token) throw new Error(\"GOOGLE_TOKEN not set\");\n\n const auth = new (google.auth.OAuth2 as any)();\n auth.setCredentials({ access_token: token });\n\n const docs = google.docs({ version: \"v1\", auth });\n const drive = google.drive({ version: \"v3\", auth });\n\n const today = new Date().toISOString().split(\"T\")[0];\n const title = `Natur VSL — ${today}`;\n const treatments = [...new Set(signals.flatMap((s: any) => s.failed_treatments))].filter(Boolean);\n\n const docContent = [\n `Natur VSL Script — ${today}`,\n `${vsl.wordCount} words · ~${Math.round(vsl.wordCount / 150)} min`,\n \"\",\n \"VICIOUS HOOKS (pick one to open with):\",\n vsl.hooks,\n \"\",\n \"TREATMENTS CALLED OUT: \" + (treatments.length ? treatments.join(\", \") : \"Apoquel, antibiotics, medicated shampoo\"),\n \"\",\n \"SOURCE SIGNALS:\",\n ...signals.filter((s: any) => s.pain_sentence).slice(0, 5).map((s: any, i: number) => `${i + 1}. \"${s.pain_sentence}\" [${s.hook_type}]`),\n \"\",\n \"=\".repeat(60),\n \"\",\n vsl.script,\n ].join(\"\\n\");\n\n // Create doc\n const doc = await docs.documents.create({ requestBody: { title } });\n const docId = doc.data.documentId!;\n\n // Move to folder if provided\n if (folderId) {\n await drive.files.update({ fileId: docId, addParents: folderId, fields: \"id\" });\n }\n\n // Insert content\n await docs.documents.batchUpdate({\n documentId: docId,\n requestBody: { requests: [{ insertText: { location: { index: 1 }, text: docContent } }] },\n });\n\n const docUrl = `https://docs.google.com/document/d/${docId}/edit`;\n console.log(` ✓ Google Doc: ${docUrl}`);\n return docUrl;\n}\n\n// ─── DISCORD VSL POST (Google Doc link only, no txt attachment) ───────────────\n\nasync function postVSLToDiscord(vsl: { script: string; hooks: string; wordCount: number }, signals: any[], docUrl: string) {\n const webhook = Deno.env.get(\"DISCORD_WEBHOOK_NATUR\")!;\n const today = new Date().toISOString().split(\"T\")[0];\n\n const embed: any = {\n title: `🎬 Natur VSL — ${today}`,\n color: 0x2ecc71,\n fields: [\n { name: \"📝 Script Length\", value: `${vsl.wordCount} words · ~${Math.round(vsl.wordCount / 150)} min`, inline: true },\n { name: \"📊 Signals Used\", value: `${signals.length} matches`, inline: true },\n { name: \"🔥 Vicious Hooks\", value: vsl.hooks.slice(0, 1024), inline: false },\n { name: \"📄 Google Doc\", value: docUrl ? `[Open Script](${docUrl})` : \"❌ Doc creation failed\", inline: false },\n ],\n footer: { text: \"Natur Intelligence — daily VSL\" },\n timestamp: new Date().toISOString(),\n };\n\n const res = await fetch(webhook, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({\n content: docUrl\n ? `🎬 **Natur VSL — ${today}** is ready → ${docUrl}`\n : `🎬 **Natur VSL — ${today}** generated but Google Doc creation failed.`,\n embeds: [embed],\n }),\n });\n\n if (!res.ok) {\n const err = await res.text();\n throw new Error(`Discord post failed: ${res.status} ${err}`);\n }\n console.log(\" ✓ VSL posted to Discord with Google Doc link\");\n}\n\n// ─── MAIN ─────────────────────────────────────────────────────────────────────\n\nexport default async function handler() {\n await initDb();\n console.log(`\\n=== Natur | ${new Date().toLocaleString()} ===\\n`);\n\n // Research every run\n const allResults = await fetchAllResults();\n console.log(\"[2/5] Filtering already-seen results...\");\n const newResults = await filterUnseen(allResults);\n console.log(` ✓ ${newResults.length} new (${allResults.length - newResults.length} already seen)`);\n\n const analyses = await analyzeWithStefan(newResults);\n await saveResults(newResults, analyses);\n\n console.log(\"[4/5] Posting research feed to Discord...\");\n await postResearchToDiscord(newResults, analyses, allResults.length);\n\n // VSL every run\n console.log(\"\\n[5/5] Generating daily VSL...\");\n const signals = await getRecentSignals();\n console.log(` ✓ Using ${signals.length} recent signals as context`);\n\n try {\n const vsl = await generateVSL(signals);\n\n let docUrl = \"\";\n try {\n docUrl = await writeGoogleDoc(vsl, signals);\n } catch (e: any) {\n console.error(\"Google Doc failed:\", e.message);\n }\n\n await postVSLToDiscord(vsl, signals, docUrl);\n } catch (err: any) {\n console.error(\"VSL generation failed:\", err.message);\n await fetch(Deno.env.get(\"DISCORD_WEBHOOK_NATUR\")!, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({ content: `❌ Natur VSL generation failed: ${err.message}` }),\n });\n }\n\n return new Response(`Done. ${newResults.length} new results. 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Code