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.

Replacing gpt-oss:120b With Qwen3.6 on a MacBook Pro: A Two-Day Local Model Benchmark

Two days benchmarking three Qwen3.6 variants against gpt-oss:120b on an M3 Max. A 21 GB coding-tuned model ran an OpenClaw-shaped research-brief workload 10x faster than gpt-oss — fast enough to seriously consider moving the work off SaaS frontier APIs. Plus the silent-hallucination trap I almost shipped through.

Fabian Williams

14-Minute Read

Bar chart comparing wall time of four local models on a structured-output benchmark

I spent two days benchmarking three Qwen3.6 variants against gpt-oss:120b on my MacBook Pro M3 Max. The shocking result: a 21 GB coding-tuned model ran an OpenClaw-shaped research-brief workload that I use for the non profit MACONA.org in 6 seconds — 10x faster than gpt-oss:120b on the same prompt. Fast enough that I now have reasonable confidence I could move this kind of work off the SaaS-hosted frontier models I have been paying for and onto local hardware on my dev machine. The deeper…

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.

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