An engineering guide to turning product logs from search, recommendations, and multimodal retrieval into data for SFT, DPO, GRPO, reward models, and LLM-as-judge pipelines.
LLM Agent Systems
Practical guides on LLM agents: architecture choices, Responses API migration, evaluation design, tool orchestration, and safety controls for production workloads.
An engineering article on the context selection layer around GPT, Claude, and Gemini: how to search, rank, and package PDFs, tables, screenshots, and visual evidence for grounded LLM answers.
A field guide for search teams adding tool calling as a bounded capability layer without losing relevance, latency discipline, safety, or rollback control.
Official timeline, architecture mapping, breaking changes, and a practical runbook to migrate from Assistants API to Responses plus Conversations without service regressions.
A practical engineering framework for choosing between workflow and agent: criteria, architecture patterns, evals, security, cost, and rollout plan.
A practical guide to shipping a support RAG agent with tool-calls: architecture contract, release gates, policy enforcement, observability, and FinOps.
igorOS is a browser-based desktop demo that shows what agent UX looks like when a model can call tools, manipulate state, and act inside a visible environment.