knowledge-base

Test AI support responses in 5 steps: build a corpus, define a rubric, run the tests, triage failures, decide on launch. The QA framework most teams skip.

AI support that learns from feedback turns live conversations into knowledge base improvements. See the 3 mechanisms and what makes the loop compound.

A no-hallucination AI support agent grounds every answer in your documentation. The architecture, the guardrails, and the liability case for grounded support.

An AI chatbot from your docs answers visitor questions using your help center, PDFs, and FAQs. See the architecture, the sources that work, and the refresh cycle.

Train a support chatbot in 5 steps: gather sources, clean content, load into the KB, test with real questions, iterate from live conversations.