Building and Operating Conviro: The Work Around the Model
Engineering lessons from building Conviro: tenant boundaries, retrieval quality, provider routing, tool permissions, and operating responsibility.
AI Engineering 4 min read
AI Engineering
Retrieval, evaluation, routing, streaming and validation for LLM features that run in production, written from operating Conviro.
8 posts
LLM Evals Should Exercise the Path You Actually Ship
Evaluate routing, retrieval, fallback, validation, and handoff together, then use diagnostic checks to explain where failures originate.
AI Engineering 3 min read
LLM Budgets Must Survive Concurrent Requests
Turn a usage dashboard into an enforceable spending policy with atomic reservations, bounded calls, reconciliation, and tenant-aware accounting.
AI Engineering 3 min read
Multi-Provider LLM Routing Is a Policy Problem
A useful model router combines capabilities, permissions, region requirements, budgets, and failure behavior behind an explicit contract.
AI Engineering 3 min read
Multilingual Support Needs More Than Translating the Answer
Keep language, market, currency, and policy scope separate so a multilingual assistant retrieves and communicates the right information.
AI Engineering 3 min read
Checking an AI Answer Before a Customer Sees It
Separate fluent generation from evidence checks for prices, product identifiers, links, and policy claims before releasing an AI response.
AI Engineering 3 min read
Hybrid Search with PostgreSQL: When Keywords Still Matter
Combine semantic retrieval with lexical search while preserving identifiers, access filters, and a measurable baseline for ranking quality.
AI Engineering 3 min read
Start a RAG System with Questions It Must Not Answer
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