Writing
Everything I publish, in one place. Each piece says how it was made: field reports carry numbers from systems I actually run, tutorials were run start to finish before they were written, reference pieces cite every claim, glossary entries define one term properly, and essays are just me thinking out loud.
- TutorialRunning a company with AISep 5, 2026 · 13 min
Start an AI company by shipping one capped, metered endpoint
A build-along: a POST /run endpoint that extracts a lead with Claude, logs the token cost of every run, and refuses to spend past $0.25 or 6 model calls.
- ReferenceAutonomous agentsSep 5, 2026 · 10 min
Self-hosted AI agent platforms: what you actually control
Which layers of an agent stack you can really run yourself, what each project's license permits, and the approaches I would not use.
- GlossaryEntrepreneurship in the age of AISep 4, 2026 · 6 min
What AI SaaS actually means (and the two senses people mix up)
AI SaaS is cloud-delivered software in which a machine-learning model performs the product's core function, which makes the vendor's cost of goods rise with usage instead of staying near zero.
- TutorialRunning a company with AISep 4, 2026 · 11 min
Run a company with AI: your first agent, with hard caps
A four-file Python agent that drafts overdue-invoice reminders, refuses to send anything without your yes, and halts on a step cap or a dollar cap. Full code.
- ReferenceAgentic GTMSep 4, 2026 · 10 min
What agentic marketing actually is, and where it breaks
A working definition of agentic marketing, the components that have to exist before the label is honest, the documented failure modes, and the cost math.
- EssayBuilding in PublicMar 28, 2026 · 3 min
Two Years of Building with AI: What I've Learned as a CEO Who Can't Stop Creating
I've spent two years going all-in on AI at Metadata, shipping MetadataONE, Pixel, and an MCP server with 100 tools. Here's what's actually working and why I've never been more excited to build.