I researched 22 clinics across Medellin for TRT, HGH, peptides, and stem cells. Here’s the definitive ranking — from specialized clinics to hospitals to brokers — and the hybrid strategy that gives you the best of all worlds.
A deep dive into the science of human optimization — hormones, peptides, longevity protocols, and data-driven self-experimentation. This is where biology meets engineering.
How I automated brew upgrade so I never think about it again. A 100-line bash script, a launchd agent that fires at 10am daily, and a structured error log that writes its own recovery playbook. Quiet on success. Loud and useful on failure.
The Context Wall, applied to life. I turned diary, finances, work notes, meetings, and years of emails into a queryable knowledge base that Claude Code drives in plain English. The full blueprint: refactor, ingestion, daemon, autonomous operation.
Where you store your knowledge base matters as much as what’s in it. For multi-repo and collaborative projects, you need a cockpit — a private command center that orchestrates everything.
You solved the reading problem. Now solve the writing problem. Andrej Karpathy’s LLM Wiki pattern lets your AI agent maintain your knowledge base — so you never edit ctx.md again.
Your AI context file works perfectly — until it doesn't. Here's when to upgrade from a single markdown file to QMD, and exactly how to do it.
Everyone will learn to orchestrate AI agents. The differentiator isn't the workflow — it's what you feed into it.
It can reverse-engineer binaries and find 27-year-old bugs. It cannot reliably tell you what day of the week it is. A field guide to AI's blind spots — and why each one exists.
Your team's reaction to your output reveals everything. If they're surprised by your velocity, they're not AI-native yet. If they doubt your quality — that's the gift that makes your workflow bulletproof.
AI writes the code. Deterministic code verifies the AI. No hallucinations, no hand-waving — just assertions that pass or fail. The development loop that makes everything else sustainable.
Anthropic built an AI that found a 27-year-old bug in OpenBSD, exploited the Linux kernel autonomously, and reverse-engineered closed-source binaries. Then they decided not to release it.