Build a knowledge base your chatbot can trust
A practical framework for turning scattered product knowledge into answers that are accurate, maintainable, and useful to customers.
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Detailed, practical guidance for turning your product knowledge into useful answers, better handoffs, and measurable customer outcomes.
A practical framework for turning scattered product knowledge into answers that are accurate, maintainable, and useful to customers.
How to make an AI support experience cite the right source, acknowledge uncertainty, and still feel natural to the person asking.
A practical guide to widget placement, first-run prompts, mobile behavior, and escalation paths that make an AI assistant feel like part of the site.
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A practical framework for turning scattered product knowledge into answers that are accurate, maintainable, and useful to customers.
How to make an AI support experience cite the right source, acknowledge uncertainty, and still feel natural to the person asking.
A practical guide to widget placement, first-run prompts, mobile behavior, and escalation paths that make an AI assistant feel like part of the site.
Design lead capture around intent, timing, and consent so Chatty helps sales instead of turning every conversation into a form.
A playbook for multilingual Chatty experiences: language detection, source quality, terminology, fallback behavior, and review.
Build a small, repeatable evaluation set that catches wrong answers, weak fallbacks, broken links, and poor handoffs before they become public support issues.
Train it on your content, embed it on your site, and start learning from real conversations.
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