Chris Lema

Grok Bot let me spin up ten AI teammates from my iPhone in one weekend — no code, no TypeScript, no Python.

I asked Claude to interview me and got twelve questions back.

In 1986, an information scientist found a hidden medical connection nobody had made — not by running an experiment, but by linking two piles of research that never cited each other.

Carlos Perez's essay is the clearest map I've seen of where AI agent architecture is heading.

Most AI adoption stalls on a false choice: keep AI on a leash, checking every step, or let it run and hope.

Every service business is staring at AI knowing everything is changing and nothing is staying the same.

I sat down to learn Mastra with my Claude Code habits and my Cloudflare opinions in my back pocket.

I spent a weekend building a sales executive who doesn't exist, handed her fifteen secrets, and let an AI try to pull them out.

I sat through a multi-hour AI training with 3,000 people and discovered less than 10% had ever tried a second tool.

Ask an AI to build the same thing twice and you get two different programs, both working.

It's not the model, it's the harness.

The real threat AI poses to your voice isn't reduced typing, it's the erosion of your taste every time you approve a suggestion instead of overruling it.

You installed a Claude skill someone else published and it just sits there, never running.

You shipped something real and nobody knows it exists.

I ran a product team that captured every customer question into a playbook before handing it off.

My take on loop engineering: push judgment onto dumber, cheaper models and smarter code over time, so a long-running agent gets cheaper and more trustworthy with use.

I put AI to work on the boring part of my site: reading 74 posts to surface the topics, audiences, and cross-links that were hiding in them all along.

I open the hood on the Claude Skill that builds mirror assessments — the eight-step pipeline, the single spec it compiles, and the checker that won't ship broken.

I gave a one-page brief to a new Claude Skill and got back a working lead-gen quiz — a design doc and a hostable assessment.

Everyone needs a custom assessment, and when you think of your own experiences, you'll agree with me.

Five paradigm shifts from three years building with AI: design time over runtime, judgment over prompts, real feedback loops, conversation, and knowledge that's built, not stored.

A pizza shop's flyer contest shows why your AI scoreboard can climb while the work gets worse - and why a measure that can't be gamed is the real job.

Why storage is the wrong question for knowledge, and how decomposing content into a graph builds answers no document ever held.

One prompt gets you something.

Companies are blowing through AI budgets, but pricing isn't the real cause.