
For leaders and anyone in charge of putting AI to work in their company, without being run over by it.

Cloud AI is temporary. Local AI is coming, and the real question is whether you own your AI or rent it.

In the early web, one person did every job. AI brings that role back, but the specialists are agents now. How to orchestrate them and judge their work.

Open source. Blockchain. MCP. Composability is the founding principle of the modern tech stack. I think it applies to ideas too. And that changes everything about how we build AI together.

Every SaaS tool assumes it knows what you need. But when AI agents can execute your instructions directly, the dashboard becomes optional. What you really need is a playbook you control.

A tool that automates without explaining makes you dependent. A playbook that shows its work makes you better.

You don't learn by studying—you learn by doing alongside someone who knows. AI brings back the ancient apprenticeship model, making real mentorship available to everyone.

As AI handles generation, human value shifts to checking outputs—not creating them. Here's why verification is becoming the most valuable skill in the AI age.

Stop taking prompt engineering courses. You don't need to master AI—you need an AI coach who already knows what to ask.

You don't need more AI features. You need to identify the tasks you hate and let AI handle them. Here's how.

Everyone's using AI wrong. The real power isn't speed—it's thinking deeper.

Most people aren't using AI correctly. The secret isn't better prompts—it's context that compounds over time.

After testing every AI tool and building complex automations, I learned the simplest solution wins: context + automation in markdown.