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. ...
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. All 3 are right in their position, and also all of us wrong, depending on which management function you are talking about. ...
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. ...
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. It should build a knowledge base that makes every future question easier to answer. ...
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. ...
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. On strategy, not scheduling. On relationships, not routine.” ...
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. ...
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. Five stops, 68 miles, a loop through Virginia — Great Falls, Manassas Battlefield, Burke Lake, and a covered bridge I didn’t know existed. This post is the answer to his question. ...
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. ...
🚀 Purpose In today’s fast-paced technology landscape, I found myself immersed in my journey at TechCon 365 Dallas 2025. What used to take me days to achieve now unfolds in merely two hours. This blog explores how technology has reshaped my workflow, allowing more efficient operations while emphasizing the importance of manual oversight along the way. During my preparation for the conference, I utilized multiple technologies including Graph, MCP, and Agents to create a streamlined process. While automation plays a significant role, I learned that having manual guardrails in place is essential. This realization stems from my familiarity with coding and the underlying tech, which often serves as a critical asset in navigating unexpected challenges. ...