KnowledgePilot

The challenge

Support teams answer the same questions over and over. A knowledge base helps only if people can find the answer in seconds — which means real full-text search, sensible categories and a feedback loop that shows which articles are missing or wrong.

What I plan to build

• Full-text article search built on SQLite FTS with ranked results
• Categories, tags and a clean article structure that scales
• Feedback loop — was-this-helpful plus a follow-up form for gaps
• Administration CMS for writing, reviewing and publishing articles
• Access levels for contributors, editors and readers
• Automated tests for search relevance and permission rules

Search quality is the product. The design pairs full-text indexing with a readable article layout, and the feedback loop turns reader behavior into an editorial queue: articles with poor feedback get reviewed first.

Schematic mockup drawn in CSS — not a screenshot of a built product.

Status

Concept stage. The schema, search strategy and editorial workflow are defined; the build is planned.

Next steps: Build the article model and FTS search with tests, then the CMS and the feedback loop, and publish the working result here.