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 coding assistants can speed up delivery or quietly lower quality. Practical rules for using them in production teams: where they help most, review standards, testing, security, context management and measuring the impact.
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.
