OpenAI API

OpenAI’s Assistants API shuts down on August 26, 2026. Learn what to inventory, how to preserve state and how to cut over without breaking the product.

A practical guide to mapping what a shell-enabled AI agent can reach, then containing its access to files, credentials, networks, tools, and high-impact actions.

An EU-resident OpenAI API setup needs a new project, regional routing, dependency and state migration, compatibility testing, and clear governance evidence.

AI models retire on a schedule. Learn how to map dependencies, test replacements, release safely and preserve a working rollback route.

Before an AI agent can take on real work, its workflow needs clear scope, permissions, handoffs, evaluation cases, and production monitoring.

A practical guide to voice agents that recognise failure, pass useful context to staff, protect customer data, and improve resolution after launch.

AI automations can burn budget through retries, background agents, and repeated context. Add spend visibility before useful work becomes surprise cost.

Long-running AI responses solve timeout problems, not workflow reliability. Learn how queues, job states, approvals, and idempotency make them production-ready.

OpenAI’s evals, graders, red teaming, and improvement loops show why AI workflow pilots need structured acceptance tests before prompts, models, tools, or routing change.

OpenAI's agent documentation points to a practical reality for internal automation: once an agent can update records or trigger actions, the valuable work shifts to approval design, run-state logging, observability, and staged rollout governance.