ai-chatbot-builderlisted

# AI Chatbot Builder A good chatbot is a designed conversation, not a model with a text box. This skill covers the full build: defining the job, designing the dialogue, grounding answers, handling failure gracefully, and shipping. ## Overview Start from the job: what questions should this bot answer, and what actions should it take? Design the conversation — greeting, disambiguation, answer, follow-up — before writing prompts. Ground answers in your knowledge base so the bot says true things. Plan the failure paths: confusion, out-of-scope requests, angry users, and the handoff to humans. Then ship with analytics, because the first version is a hypothesis about what users will ask. ## When to use - Customer support, sales assistance, or internal helpdesk automation. - FAQ-style bots where answers exist in documentation. - Lead qualification or intake bots with structured data capture. - Replacing or upgrading a rules-based bot with an LLM-powered one. ## Core concepts - **Conversation design**: the happy path plus the top failure paths, scripted as flows. Greeting → intent → resolve → confirm → close. Design the unhappy paths with equal care. - **Persona**: the bot's voice — tone, formality, name, boundaries. Consistent persona builds trust; document it so every prompt matches. - **Grounding**: answers built from retrieved sources (docs, KB articles) with citations. The difference between a helpful bot and a confident liar. - **Intent handling**: recognize wha