Build logs, research drops, and everything we've shipped and learned.
We rebuilt the LifeOS mobile app using AI to achieve native iOS design standards. Here's the workflow, tech stack, and results using NativeWind and Reanimated.
A transparent look at building an AI trading bot in Python with FinBERT and XGBoost. Real P&L, architecture diagrams, and honest failure analysis.
A hands-on comparison of the 3 dominant CLI coding agents in 2026. No synthetic benchmarks. Real projects, real costs, real opinions on which terminal AI agent to use and when.
How we took a personal life management app from broken settings, empty dashboards, and null pointer crashes to a stable daily-use tool — using AI builder agents and a relentless QA loop.
No budget? No problem. These 5 genuinely free AI tools can handle your marketing, bookkeeping, customer support, and content — without the $99/month SaaS trap.
How we built a paper trading system with automated backtesting, stop-loss management, and a go-live readiness dashboard — and why the bot decides when it's ready, not us.
We ran both AI coding agents on the same 10 real-world tasks — refactors, bug fixes, greenfield features. One agents talks a big game. The other quietly ships. Here's what happened.
We benchmark 12 models on the Mac Mini M4 with Ollama — from tiny 1B parameter models to 70B behemoths. Token speeds, memory usage, and which models are actually worth running locally.
How we replaced traditional development workflows with 6 autonomous AI agents that write code, review PRs, merge, deploy, and QA — running on 30-minute cron cycles with zero human intervention.
AI Tool Dojo is where we document what it's actually like to build products, businesses, and systems with AI — from the trenches, not the press room.