whatsapp-ai-chatbot-awslisted

# whatsapp-ai-chatbot-aws — architecture designer for WhatsApp AI bots on AWS Turn a one-line idea ("AI bot on WhatsApp for my business") into a reviewed architecture: entry path, async pipeline, agent layer, memory, knowledge base, tools, ops, and cost. Output is a document the user can build from, not a lecture. Default to talking and drawing. Write code only when the user explicitly asks to scaffold (then use CDK, see step 6). ## Step 1 — Ask five questions, once Ask only what changes the design. Skip any the user already answered. 1. **Channel ownership** — already have a Meta Business app / phone number, or starting fresh? 2. **Knowledge size** — what must the bot know? Rough token count: menu/FAQ (small) vs catalog/manuals/PDFs (large). 3. **Actions** — what must it *do*? Orders, bookings, payments, CRM writes, ticket creation. Each is a tool. 4. **Volume and region** — messages/day, user country (decides AWS region and Meta conversation pricing). 5. **Media** — voice notes, images, documents in scope? If the user says "just design it", assume: fresh channel, small KB, 2-3 tools, <1,000 messages/day, India/ap-south-1, text + buttons only. State the assumptions. ## Step 2 — Pick the entry path | | AWS End User Messaging Social | Meta Cloud API direct | |---|---|---| | Webhook code | none, AWS manages | you own API Gateway + Lambda + signature check | | Inbound lands on | SNS topic | your HTTPS endpoint | | Outbound | `SendWhatsAppMessage` API | Graph