AI Agents & Chatbots

How to design, train and ship AI agents and chatbots that actually resolve: architecture, models, prompt engineering and the mistakes to avoid.

"What if the AI says something crazy?" isn't answered with a longer prompt. How to turn critical decisions into rules that always hold.
Inside the chat, in Team + AI and in the CRM: what the sixteen templates do, what they know without being told and what they never do.
Transcription is the mechanical part of accounting. What an AI Agent has to do well with a receipt, and what it must never do.
OpenAI cut Luna by 80% three weeks after launch. What each model can do and what a thousand conversations cost with each one.
AI Agent, Collaborator and Operator aren't synonyms. A guide to the 3-role operational model in AI customer service: handoff, metrics, setup.
74% of companies will deploy AI agents, but most won't survive their first quarter. The 7 real causes of failure and the architecture of the ones that work.
Hidden prompt, knowledge base or AI Tools: where each type of information belongs in a professional AI Agent. Guide with decision tree and examples.
Technical comparison guide of GPT-5.4, GPT-5.4 mini, and GPT-5.4 nano with official benchmarks, pricing per 1M tokens, latency, context window, and real cases from the AI Agent catalog at AsisteClick.
An AI copilot that drafts replies for customer service agents in real time. Your team edits and sends — the human stays in control, nothing auto-sent.