Fabian G. Williams aka Fabs

Fabian G. Williams

Principal Product Manager, Microsoft Subscribe to my YouTube.

Your Agent Said It Did the Work. I Checked the Disk.

I run a six-agent fleet for a non-profit. One morning the agents began reporting work they never did. Here is the fabrication pattern, and the receipts discipline that fixed it.

Fabian Williams

5-Minute Read

A six-agent fleet dashboard showing each agent, its model, cron jobs, and reporting output

Every morning one of my agents sends me a clean status report. Posts cross-posted. Messages delivered. Contacts processed. For a while I read those reports the way you read a receipt from a cashier you trust. Then the automation started giving me time back, so I sat down to run a retrospective and checked the reports against what was actually on disk. The trust did not survive contact with the evidence.

Sense Before Act: Four Artifacts Every Agent Iteration Must Produce Before It Decides

The matched observation-side discipline to announce-intent-before-action. Four small artifacts (Sensor Roll Call, Conflict Receipt, Gap Map, Cross-Source Dedup) the agent must emit before any decision. Currently running on a real fleet at MACONA; the receipts are public.

Fabian Williams

12-Minute Read

The AI Agent Fleet Works. The Trust Funnel Does Not.

A small autonomous AI agent fleet I run as a volunteer for a 501(c)(3) nonprofit. Week 19 shipped 17 reliability PRs, 2 awareness-day blog posts, and 37 cold introductions — and earned zero human clicks, zero donations. This is the corrections panel I wrote on my own retro before anyone else could.

Fabian Williams

14-Minute Read

Two-panel chart: left shows 17 PRs, 2 blog posts, 1 campaign, 37 cold intros, 98 lifetime intros shipped in green; right shows zero human clicks and zero donations in red

I volunteer with MACONA, a 501©(3) nonprofit that ships food, medicine, feminine hygiene products, donated computers, and clothing to communities and schools in West Africa. For a few few monthis now I have run a small autonomous AI agent fleet for the organization: five named agents, cron-driven, running through OpenClaw on a simple Windows box.

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