Practical, technical writing on training, deploying, and running AI chatbots — no fluff, no unsourced stats.
The full Meta Cloud API setup — developer account, permanent access token, webhook handshake — plus the constraints that catch people off guard afterward: the 24-hour reply window, business verification, and token expiry.
The full setup process — the two-line script embed, the one-click WordPress plugin, testing live before you go public, styling it to match your brand, and the lead-capture call most people get wrong.
Why chatbots confidently invent answers, why a bigger model doesn't fix it, and the five concrete RAG-pipeline techniques — confidence thresholds, strict prompting, gap tracking, human handoff, and fresh sources — that actually do.
What "training" actually means for a modern AI chatbot, the RAG pipeline that makes it work, and a practical, step-by-step process — plus the mistakes that quietly wreck answer quality.
A support-bot-specific decision framework — real cost, latency, and maintenance trade-offs, when fine-tuning actually wins, and why most support bots should default to RAG.