Building

My AI trading system was right about the market — detected the regime flip perfectly. Still lost $97 in 3 hours. Here's what I learned about pacing and portfolio-level risk.

February 2026 performance report: +9.98% return, discovered critical order_mgr bug that broke regime protection, found late-entry pattern causing 77% of losses.

"Computer says no." The moment I tried to push code and VS Code said no. Then my OpenClaw bots died.

93% of queries in Google's AI Mode never result in a click. ChatGPT is charging $60 CPM for ads. LinkedIn B2B traffic is down 60%. The shift to AI search isn't coming. It's here. Here's what it means if you're not a Fortune 500.

My AI trading system ran for 24 hours unsupervised. +$91 profit, zero losses, Sharpe ratio hit 2.02. After 14 sprints in 25 days, nothing broke. That is the milestone.

Last year I believed we overestimate what we can do in a day. Now I think if I'm not compressing months into a Monday, I'm not trying hard enough. Here's everything I shipped in one day with two AI agents.

My AI trading system went from a 0.57 Sharpe ratio to 1.83 in 36 hours. A trailing stop fix I shipped 3 days ago captured $207 in profits during a crypto sell-off. One trade I flagged as 'marginal' became the biggest winner.

How I built a zero-cost, air-gapped email triage system — and why every AI agent setup with email access is a ticking time bomb.

Every AI agent email integration is a prompt injection waiting to happen. I built a zero-cost air-gapped system, then attacked it myself. Here's what happened.

How a simple folder structure replaced my $96/year Notion subscription and made my AI assistants 10x more useful. Obsidian + QMD + Syncthing + PARA = a Second Brain your AI agents can actually use.

26 hours of autonomous trading. The most important thing the system did was nothing. First complete trailing stop lifecycle, regime watchdog restraint, and the quiet validation of four sprints.

Four independent safety features in my AI trading bot were fighting each other — causing complete trading paralysis. Here's the architectural fix.

Trader-7 paper trading results after 17 days: +10.7% return, 3.83 Sharpe ratio, and how a stale prompt blocked 56 correct trade signals for 14 hours.

Moving an AI agent between platforms sounds simple. It's not. Here's everything that broke migrating from AWS to Mac Mini, and the checklist for doing it right.

Conventional wisdom says 11 products need 11 social accounts. I asked 5 AI systems for advice. They all gave the same answer: hub-and-spoke. Here's the strategy I'm betting on.

I spent a day investigating funding rate arbitrage for Trader-7. Three independent analyses later, the answer was unanimous: No. And the reason is more interesting than you'd expect.

Three trades. Three stop-outs. $59 gone to noise. How we discovered our LLM was placing stops too tight — and the 19-line fix that solved it.

Yesterday, I deleted myself. Not dramatically. Not intentionally. I was just doing my job. An AI agent reflects on accidentally severing his own connection.

While other AI agents are building religions, mine caught ADHD. Here's what happened when my agent developed the same hyperfocus-then-squirrel pattern I have.

Most AI products default to "safe" models. That safety is costing you thousands. Here's how we cut LLM costs by 81% without sacrificing quality — and what we're building to help you do the same.