Product Architecture

// Telegram voice → Whisper → DeepSeek → Mistral → Hermes → Notion
🎤 Input: Telegram voice message (OGG Opus)
↓
🧠 Whisper("transcribe audio") → raw text
↓
🧠 DeepSeek("extract: mainIdea, hook, painPoint, ctaAngle")
↓
✍️ Mistral("Voice DNA rules: utility, pattern break, one-line rule")
↓
📤 Output: Notion draft (Status: Not started, Pillar: Pillar 1)

// LinkedIn engagers → DeepSeek scores → Mistral drafts DM → Notion leads DB
📥 Input: [{name, linkedinUrl, commentText, context}]
↓
🧠 DeepSeek("score 1-10, classify hot/warm/cold, identify pain points")
↓
✍️ Mistral("3-sentence re-engagement DM in Voice DNA")
↓
📤 Output: Notion lead (Score: 9/10, Class: Hot, DM: "...", Pillar: Pillar 2)

// Inbound DM → Dual-score classifier + DeepSeek analysis → Mistral reply
📥 Input: {message, sender, platform}
↓
🔍 Intent Scanner("keywords: pricing, help, cost, automate, urgent")
🔍 AI Classifier("hot/warm/cold/spam")
↓
✍️ Mistral("hot lead → 2-sentence reply in Voice DNA")
↓
📤 Output: {classification, reply} → Notion (Pending Review)

// Call transcript → DeepSeek grades 6 frameworks → Overall A-F + improvements
📥 Input: {transcript, coachId}
↓
🧠 DeepSeek("grade: hook, problem_stack, solution, objections, close, voice")
↓
📤 Output: Notion (Overall: A-, categories, raw_analysis, Tags: Pillar 4)

// Cron trigger → Fetch dormant Notion contacts → DeepSeek re-engagement email
⏰ Trigger: Every 6 hours (Cloudflare Cron)
↓
📒 Notion Query("Status = 'Not started', limit 10")
↓
🧠 DeepSeek("3-line Voice DNA re-engagement email")
↓
📤 Output: Notion (Pending Send, Pillar 5, draft email)