Fabian G. Williams aka Fabs

Fabian G. Williams

Principal Product Manager, Microsoft Subscribe to my YouTube.

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.

Qwen 3.6 vs gpt-oss:120b on M3 Max: I Ran a Harder Test, the 8× Speed Gap Surprised Me

I published a Qwen 3.6 vs gpt-oss migration story, then ran an un-gameable eval against both on the same M3 Max. The receipts changed the speed narrative — gpt-oss:120b ran 8 to 11 times faster than qwen3.6:27b at parity reasoning quality. Here is the methodology and the data.

Fabian Williams

11-Minute Read

Horizontal bar chart showing gpt-oss:120b at 137 seconds and qwen3.6:27b at 1593 seconds on the same Round 2 reasoning tasks, with an 11.6× slower callout

I published a post last week about replacing gpt-oss:120b with Qwen 3.6 on my MacBook Pro M3 Max. The numbers in that post were real, but one set of tests was structurally gameable — 38 of 40 baseline images were the same class, so an “always-say-A” stub also scored 95 percent. I went back, designed three un-gameable reasoning tasks, and ran them against both local models on identical hardware. gpt-oss:120b finished the three tasks in 137 seconds. qwen3.6:27b-q8_0 took 1593 seconds —…

I Run Five OpenClaw Agents for 72 Cents a Day

The default OpenClaw heartbeat is burning wallets. A 3-line config change — 55m interval, gpt-4o-mini on the loop, activeHours window — stacks to a 98% cost reduction. Here is the math, the config, and the free template.

Fabian Williams

8-Minute Read

Waterfall chart showing OpenClaw heartbeat daily cost dropping from $66 to $0.72 after three stacked config fixes

Five OpenClaw agents run the content and executive-assistant pipeline for MACONA — a nonprofit I volunteer with — at $0.72 a day. The most common support question on r/OpenClaw is “$25 in 9 hours, help.” The gap between those two numbers is three config decisions stacked on top of each other: heartbeat interval, model on the loop, and hours of operation. None of them are clever. All of them are usually set wrong by default.

Recent Posts

Categories

About

Fabian G. Williams aka Fabs Site