Blind Spot Audit

An agent did everything right for three weeks — then sent internal pricing to a stranger. Nobody changed the code. The payload was planted in its memory weeks earlier and slept until the right question woke it. Maya and Theo on why nobody audits what the agent remembers, and the hard rule: memory is a credential. Treat it like one.

Automation doesn't fix a broken process — it industrializes it. In this episode, Maya and Theo walk through a workflow that ran the same failing step sixty-three times before lunch, and why the audit always starts at the log, not the diagram. The hard rule: never automate a process you couldn't run by hand. Audit first, fix the process, then automate the fixed thing. The order is the point.

Patrick Anselmi Barbour on why AI agents and screen readers meet the same structure underneath a dashboard, and why a good dashboard is a front door to raw data, not a dead end.

Everybody asks when he's going to hire a team. The answer: solo isn't the waiting room for a real company — it's the design. A company of one, async-first, in writing, with the human in the loop on purpose. Why written-first work isn't an accommodation, it's the architecture — and why a process that needs five people to explain it is broken, not the team. Built for the underdogs.

Patrick Anselmi Barbour, a legally blind auditor, on why AI workflows break at the seams: the summary that dropped the one detail that mattered, silence mistaken for approval, and why a task isn't done when it's sent — it's done when the right person confirms it landed. Blind Spot Audit, episode two.

Series premiere of the public BlindSpotAudit show. Why AI fails silently, why nobody checks, and why a legally blind auditor catches what sighted teams miss. No methods, no secrets — just the problem, the judgment, and the Company of One.