Office agents need receipts, or they're just interns with root access

The least glamorous part of an AI agent is also the most crucial: the receipt that proves what it actually did. OpenAI’s recent agent tools release introduces a Responses API, built-in computer use and file search capabilities, and—crucially—observability tools to trace and inspect workflow execution. While OpenAI frames this for developers, the translation for office workers is blunt: if you let an agent do work, you need to see exactly what work it did. Without a paper trail, an agent is just a mysterious digital coworker rearranging the pantry.

OpenAI built these tools to address a real production problem. Teams can build agentic applications, but they often lack visibility into what happens when the prompt hits reality. In an office environment that already suffers from too many invisible handoffs, adding an agent that can browse files and trigger actions makes the chain of custody terrifying. A useful agent run should explicitly log its sources, the tools it called, the drafts it suggested versus the actions it took, and where it waited for human approval. The goal isn't to read logs for fun; it's to reconstruct what happened before a status meeting turns hostile.

Before handing an agent a broad mandate, give it a boring task and inspect the mess. Have it summarize support tickets, and check if it invented customer history or confused a refund request with a bug report. Observability changes the blame dynamics. Without it, every mistake is a mystery. With a proper trace, you can fix the prompt, the retrieval, or the policy. Agents will become normal office infrastructure, but only if we build the review process before the bot learns where the destructive buttons live.