Free text is hard to automate. JSON schemas, validation, tool calling and approval steps turn language models into dependable components of business systems, from email triage to booking changes.
AI agents can search, compare and assist with bookings, but travel involves money, rules and irreversible actions. A practical view of agent use cases, tool design, guardrails and where human confirmation remains essential.
Demos are convincing; production is not forgiving. A practical evaluation method for LLM features: defining success, building test sets, combining automated checks with model graders, and catching regressions.
Vector search powers RAG and semantic search, but the database choice is often overstated. How to decide between an extension on your existing database and a dedicated vector engine, and what actually drives retrieval quality.
Most of the quality in a retrieval-augmented system is decided before the model writes a word. A field guide to chunking, retrieval and evaluation for internal knowledge assistants.
