ConvergePilot: Turning an AI Audit into a Usable SaaS Product
What building ConvergePilot taught me about AI audit scope, subscription access, model selection and useful recommendations.
AI Engineering 3 min read
Retrieval, evaluation, routing, streaming and validation for LLM features that run in production, written from operating Conviro.
18 posts
What building ConvergePilot taught me about AI audit scope, subscription access, model selection and useful recommendations.
AI Engineering 3 min read
A useful model router combines capabilities, permissions, region requirements, budgets, and failure behavior behind an explicit contract.
AI Engineering 3 min read
Keep language, market, currency, and policy scope separate so a multilingual assistant retrieves and communicates the right information.
AI Engineering 3 min read
Separate fluent generation from evidence checks for prices, product identifiers, links, and policy claims before releasing an AI response.
AI Engineering 3 min read
Combine semantic retrieval with lexical search while preserving identifiers, access filters, and a measurable baseline for ranking quality.
AI Engineering 3 min read
A retrieval system needs evidence for answering and a deliberate path for missing evidence. Negative cases make that boundary measurable.
AI Engineering 3 min read