Hi, I’m Fred.
I build AI systems from Oakland, and over the last few months I’ve started a company called TinyMacro. It’s hedged on one central idea: intelligence is becoming a utility.
The argument.
The price of machine thinking falls every quarter, and right now it’s sold below cost.
Everyone rents the same models. There is no technology moat in this category.
The hard problem is economic: finished, reliable work from the cheapest intelligence that can do the job.
Better models don’t answer that. Receipts do: evals and production history at a known cost. The abstraction is copyable; the proof is not.
The teams holding those receipts will build what everyone else has to rent.
The company.
TinyMacro is my position on that future: one AI employee per company, reachable at its own email address.
No dashboard, no login. You tell it who you sell to; it does the work and reports back in the inbox you already use, because most AI adoption dies where the tool doesn’t live. The first role is a sales development rep: it finds prospects, researches them, writes at the level of a thoughtful human, sends, and follows up. Fewer, better emails, with a gap flagged before anything generic gets written. Opt-outs enforced, every send on the record, Review Mode if you’d rather approve each one.
Underneath, the agent is mostly code: a model is called only where judgment lives, which is how a small, cheap model does work you’d otherwise buy a frontier model for. We run our own outreach on it, and we’re opening to a first round of clients now.
The company site: tinymacro.app →
The terms.
Any future with this much machine output in it needs terms. Here are mine.
- Ethics
- An agent that writes to people carries your name: honest sourcing, opt-outs honored with zero tolerance, and its own address, so nobody has to guess whether they’re talking to a machine.
- No slop
- Every word our agents send passes a denylist of machine tells before it goes anywhere, and the bar is simple: would a thoughtful person have written this?
AI should raise the standard of what gets made, not lower the cost of making it worse.
Talk to me.
Interested? I’d love to hear from you.
Book a call →Or write to me directly: frederickcaseyhousand@gmail.com
Before all this.
I grew up in Oakland. In high school I ran the local Tree-Plenish chapter: six teenagers, a hundred-plus fruit trees, and a city that had to be talked into letting kids plant on public land. The work won the David Brower Conservation Award, and it left me the line I still work by: good systems should improve the world, not just operate within it.
Since then I’ve built AI infrastructure for Wheel the World, an accessible-travel startup, and for Larta Institute, a federal research accelerator running programs for NOAA and USDA. On the side, I build AI content systems for ShoplyAI. I finish an Economics degree at UCLA in December 2026, with a minor in Environmental Systems and Society.
Past work → · LinkedIn · GitHub · Resume