OpenAI Agent Rollouts: Guardrails, Approvals and Audit Trails
Plan an OpenAI agent rollout with practical guardrails, human approvals, saved run state and audit records your operations team can use and maintain.
OpenAI API
AI Research Assistants Need a Source Trail, Not Just Citations
Citations are only the visible layer. Build AI research with source controls, audit records, review gates, and accountable handoffs.
OpenAI Computer Use: What Browser Agents Need Beyond the Demo
Planning an OpenAI browser agent? Learn how to choose the right workflow, manage credentials, set useful approval gates, and recover safely when a run fails.
Structured Outputs Make Intake Automation a Schema Design Job
Structured Outputs reduce format failures, but reliable intake automation still depends on schema design, validation, model choice, and controlled handoffs.
Cache, Background, or Batch? How to Route AI Workloads
Choose synchronous requests, background mode or Batch for your AI workloads, with practical guidance on prompt caching, costs, retries and data retention.
OpenAI Responses API: Migrating After the Assistants Shutdown
Move legacy OpenAI Assistants workflows to the Responses API with a practical plan for recovering history, choosing conversation state, testing tools, and controlling costs.
Written recommendations from Trafik og Veje, Aarhus Municipality (2011) and AgroTech (2010).
