https://www.fabswill.com/categories/ai/ Recent content in AI on Fabian G. Williams Hugo -- gohugo.io en Thu, 20 Aug 2026 00:00:00 +0000 https://www.fabswill.com/blog/doug-was-right-i-measured-the-moe/ Thu, 20 Aug 2026 00:00:00 +0000 https://www.fabswill.com/blog/doug-was-right-i-measured-the-moe/ Two days ago I posted 36 barrier-synchronized loads against 1 local model and let the numbers answer a question Reddit handed me. That post ended with a promise. A reader named Doug Ware, who builds applied AI systems for a living, had replied with the one caveat I had not tested, and I said out loud that measuring it was the next thing I would do. This is that measurement. https://www.fabswill.com/blog/you-asked-i-measured-the-concurrency-ceiling/ Tue, 18 Aug 2026 00:00:00 +0000 https://www.fabswill.com/blog/you-asked-i-measured-the-concurrency-ceiling/ Over last week and these last 2 days in this week I posted measured answers to readers both in Twitter and Reddit who asked whether my experiments of 2 local agents on 1 Mac run in parallel or take turns. The answers was that they share one continuous batch, batching is real, and 3 quiet choices collapse it. I thought that was the end of it. It was not. The comments were better than my post, WHICH IS AWESOME, becaue this is the crowdsourcing of brain power I love. https://www.fabswill.com/blog/i-added-a-second-local-agent-and-kept-the-receipt/ Mon, 17 Aug 2026 00:00:00 +0000 https://www.fabswill.com/blog/i-added-a-second-local-agent-and-kept-the-receipt/ This week I trialed a second local coding agent, Hermes from Nous Research, on my own MacBook Pro M3 Max, pointed at the same local Qwen 3.8 model I already run. I installed it additively, so nothing already working could break, governed it with manual approvals, and did not stop until it proved it behaves. Here is the trial, in tables and screenshots. One housekeeping note before the story. Last week’s post got called AI slop on Reddit. https://www.fabswill.com/blog/two-agents-one-local-model-batching/ Mon, 17 Aug 2026 00:00:00 +0000 https://www.fabswill.com/blog/two-agents-one-local-model-batching/ A reader on Reddit asked me a sharp question about my last post. I had trialed a second local coding agent, Hermes, pointed at the same local Qwen 3.8 model my other agent already uses. His question was simple. Did I ever run both agents at the same time, two separate harnesses hammering one model on one Mac at once. And what about Hermes spawning its own sub-agents against that same endpoint. https://www.fabswill.com/blog/local-model-upgrade-qwen-38-agent-self-tested/ Sat, 15 Aug 2026 00:00:00 +0000 https://www.fabswill.com/blog/local-model-upgrade-qwen-38-agent-self-tested/ TL;DR Local models are how I run my community work, my volunteer projects, my side hustles, and my musings. Two reasons, both simple: Cost. None of this work should bill against a frontier account. Trust. Client and customer data stays on my own disk, away from the labs. Bottom line up front: I am running Qwen3.8-27B (4-bit) on my MacBook Pro M3 Max, 128 GB of unified memory and a 40-core GPU, my personal dev rig, driven by an OpenCode harness. https://www.fabswill.com/blog/local-model-frontier-rematch-auto-replay-evals/ Sun, 02 Aug 2026 00:00:00 +0000 https://www.fabswill.com/blog/local-model-frontier-rematch-auto-replay-evals/ TL;DR My agents do real work on frontier models. Every dollar of that work is metered against my OpenAI and Anthropic bills. Meanwhile a perfectly capable local model, gpt-oss:20b, sits on a Mac Mini in my office costing me nothing. The obvious question: for which tasks could the free local model do the job just as well? Today I answered it with a system instead of a guess. I taught my eval framework to automatically replay every writing task on the local model right after the frontier model runs it, then grade both with the same judge and record the gap. https://www.fabswill.com/blog/sense-before-act-four-artifacts-every-agent-iteration/ Tue, 26 May 2026 00:00:00 +0000 https://www.fabswill.com/blog/sense-before-act-four-artifacts-every-agent-iteration/ By the end of this post you will know what every iteration of every production agent must produce BEFORE it decides anything: four small artifacts that catch the failures sharper prompts cannot prevent. You will know why “tell the model to be careful” never worked as a defense, and why the only durable fix is structural. And you will know what the discipline looks like in code, because we have been running it at MACONA for months and the receipts are public. https://www.fabswill.com/blog/paying-down-supervision-debt-five-control-points/ Thu, 21 May 2026 00:00:00 +0000 https://www.fabswill.com/blog/paying-down-supervision-debt-five-control-points/ By the end of this post you will know which of the five infrastructure control points your agent stack is shipping without, and you will have a concrete pattern for paying down the observability piece of that debt: a public, consumer-readable audit-trail receipt that satisfies both your security team and your finance team with the same document. The receipt was already in production when the broader practitioner conversation started naming the gap. https://www.fabswill.com/blog/one-agent-receipt-two-buyers-protocol-neutral-mcp-audit-trails/ Sat, 16 May 2026 00:00:00 +0000 https://www.fabswill.com/blog/one-agent-receipt-two-buyers-protocol-neutral-mcp-audit-trails/ Update, 2026-05-19: A2A agent-card now live at mcp.adotob.com/.well-known/agent.json, published 24 hours after Nate B Jones’s IO-2026 video named the agent-card primitive as the second of the four core agent-protocol layers. Three of the four layers of the open-protocol stack are now live in the storefront: MCP for tool access, A2A for agent discovery, and AG-UI manifested as the public receipt page. AP2/X402 is reserved for the MVP-2 paid Stripe flow. https://www.fabswill.com/blog/autonomous-ai-agent-fleet-nonprofit-w19-retro-corrections-panel/ Mon, 11 May 2026 00:00:00 +0000 https://www.fabswill.com/blog/autonomous-ai-agent-fleet-nonprofit-w19-retro-corrections-panel/ TL;DR 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. Week 19 (I track progress via week numbers for me and my Agents) looked like a win on every internal activity metric: 17 reliability PRs merged, 2 awareness-day blog posts published, 1 Brevo campaign queued, and 37 cold introduction emails sent. https://www.fabswill.com/blog/qwen-3-6-vs-gpt-oss-m3-max-8x-speed-gap-receipts/ Sat, 09 May 2026 00:00:00 +0000 https://www.fabswill.com/blog/qwen-3-6-vs-gpt-oss-m3-max-8x-speed-gap-receipts/ TL;DR 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. https://www.fabswill.com/blog/replacing-gpt-oss-with-qwen3-6-on-macbook-pro/ Sat, 02 May 2026 00:00:00 +0000 https://www.fabswill.com/blog/replacing-gpt-oss-with-qwen3-6-on-macbook-pro/ TL;DR 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. https://www.fabswill.com/blog/ai-boosted-my-mechanical-engineering-muscle/ Sun, 19 Apr 2026 00:00:00 +0000 https://www.fabswill.com/blog/ai-boosted-my-mechanical-engineering-muscle/ TL;DR Over one weekend I fixed a 2001 Ford Ranger that would not crank and a lawnmower that had been sitting in a shed for four years. The truck turned out to be a stuck clutch safety switch — cost, zero. The lawnmower needed a replacement carburetor from Amazon for under twenty dollars. I am not a mechanic. ChatGPT was my shop manual, and the whole thing was driven by photos of my actual parts, not generic internet tutorials. https://www.fabswill.com/blog/pm-life-as-agents-take-on-more/ Sun, 12 Apr 2026 00:00:00 +0000 https://www.fabswill.com/blog/pm-life-as-agents-take-on-more/ TL;DR I had a sidewalk conversation with two neighbors that turned into a real-time debate about AI replacing jobs. Then I watched a Nate video that gave me the exact framework to explain why all 3 were right — and wrong. One neighbor is a project manager already using AI daily. One is a business analyst who coaches companies. One of my neighbours’ husband — a skeptic — is convinced AI cannot do creative work. https://www.fabswill.com/blog/your-brain-forgets-most-of-your-life-so-does-your-ai-agent/ Sun, 12 Apr 2026 00:00:00 +0000 https://www.fabswill.com/blog/your-brain-forgets-most-of-your-life-so-does-your-ai-agent/ TL;DR Neuroscientist Lisa Genova explains why forgetting is normal — your brain filters out most of your day, loses context when you change rooms, and is terrible at remembering future intentions. I watched her TED talk and realized I had already encountered every one of these failures in AI agents I build for real organizations. Here is how the parallels work, what breaks in production, and what I built to fix it. https://www.fabswill.com/blog/building-a-second-brain-that-compounds-karpathy-obsidian-claude/ Sun, 05 Apr 2026 00:00:00 +0000 https://www.fabswill.com/blog/building-a-second-brain-that-compounds-karpathy-obsidian-claude/ TL;DR Andrej Karpathy tweeted about using LLMs to build personal knowledge bases — raw sources in, compiled wiki out, all in Obsidian. I implemented his entire workflow in one session using Claude Code skills. Four YouTube transcripts became 21 cross-linked wiki articles. The system now compiles new sources, health-checks its own consistency, and searches itself. It took an afternoon. It will compound forever. Your AI should not just answer questions. https://www.fabswill.com/blog/how-do-you-trust-an-autonomous-ai-agent/ Sat, 28 Mar 2026 00:00:00 +0000 https://www.fabswill.com/blog/how-do-you-trust-an-autonomous-ai-agent/ TL;DR I run an autonomous AI agent on a Mac Mini in my house. She handles 16 daily cron jobs — finances, email triage, outreach campaigns, device monitoring, morning briefings. The agent says “done.” But did it actually do anything? I built a 9-dimension eval rubric to find out. Along the way I discovered that my evals were broken, my agent was better than I thought, and the most important metric isn’t pass/fail — it’s whether a failure is your fault or the agent’s fault. https://www.fabswill.com/blog/your-next-hire-should-be-an-ai/ Tue, 17 Mar 2026 00:00:00 +0000 https://www.fabswill.com/blog/your-next-hire-should-be-an-ai/ TL;DR We deployed an autonomous AI executive assistant for a nonprofit in under two weeks. She runs eight scheduled programs daily — morning briefings, social media, donor research, newsletter drafts, content scouting, and end-of-day digests — all without being asked. The CEO went from drowning in operational work to just making decisions. The same pattern works for any small organization: medical practices, restaurants, law firms, conferences, mom-and-pop shops. “The CEO’s time should be spent on decisions, not data entry. https://www.fabswill.com/blog/first-month-on-the-app-store/ Fri, 13 Mar 2026 00:00:00 +0000 https://www.fabswill.com/blog/first-month-on-the-app-store/ TL;DR I built two iOS apps in about ten days total. Neither was planned as a product — both started as solutions to my own problems. In the first month on the App Store, people in 114 countries found them through organic search. No marketing budget. No ads. No influencer deals. Here is what the numbers look like, what they taught me, and why I think everyone with an idea should just build the thing. https://www.fabswill.com/blog/wandr-v101-union-station-dc-first-real-ride/ Sun, 08 Mar 2026 00:00:00 +0000 https://www.fabswill.com/blog/wandr-v101-union-station-dc-first-real-ride/ TL;DR A Ducati rider from Slovenia asked me on Reddit today: “Did your app suggest anything good?” I’d just pushed WandR v1.0.1 with fixes that make the app smarter about understanding natural language and GPS. So while I was in DC on an errand, I pulled out my phone at Union Station, told WandR I wanted scenic spots for about four hours on a motorcycle, and let it plan a route. https://www.fabswill.com/blog/qui-non-proficit-deficit-im-back/ Sat, 07 Mar 2026 00:00:00 +0000 https://www.fabswill.com/blog/qui-non-proficit-deficit-im-back/ TL;DR I went heads down for about three months — no LinkedIn, no YouTube, barely any Twitter. In that time I shipped two iOS apps to the App Store, built an autonomous AI assistant that runs a nonprofit’s entire digital presence 24⁄7, and developed a workflow where AI agents scale my output 3-5x. This post is the full story: the career pattern that taught me to recognize seismic shifts, what I actually built, and why I’m back.