Technical
3 articles on Technical.
ChatGPT API vs Claude API vs Gemini: which to pick (2026)
Claude Sonnet 4.6/4.7 is our default for production agents — most reliable tool calling, best structured output, strong reasoning. GPT-4o wins for voice (Realtime is best-in-class) and the largest ecosystem. Gemini 2.5/2.0 wins for long-context, vision-heavy document work, and cost-sensitive volume workloads. Pick per task; abstract behind a provider interface.
RAG done right: the patterns that survive production
Production RAG is engineering, not magic. The patterns that survive: hybrid retrieval (vector + BM25), rerank top-k with a cross-encoder, metadata filtering, source dating, citation rendering, sampled human review. Without these, your retrieval is good in the demo and broken in production.
How AI agents actually work (under the hood)
An AI agent is a reasoning loop: the model plans, calls a tool, observes the result, replans. Underneath: function-calling APIs, retrieval-augmented context, typed tool schemas, guardrails, evals, and observability. This is the technical breakdown — what each layer does and how they fit together.