For founders and operators who are done talking about AI and ready to deploy it.
Tiny Lab is an AI Deployment Lab.
It exists to turn experiments into production systems.
Instead of publishing opinions about AI, Tiny Lab runs short, focused deployment sprints. Each sprint takes one real workflow, builds an agentic system around it, ships it live, measures what actually happens, and publishes the results.
If it survives contact with reality, we keep it. If it doesn’t, we tear it down and learn from it. Everything becomes a reusable pattern.
Tiny Lab is not a frontier research lab and it is not generic AI consulting. It is a rapid experimentation engine for applied AI inside real companies.
Origin Story
Tiny Lab emerged organically over the last few months.
Across Crazy Egg and other ventures, I stopped talking about AI and started deploying it directly into work.
- Multi-agent systems coordinating inside Slack.
- Local LLM plus API hybrid setups running on dedicated hardware.
- Automated research, synthesis, and coding loops.
- Real production workflows replacing contractors and manual processes.
One thread alone coordinating humans and agents crossed 800 replies. Multiple bots are running across several Slack workspaces today, doing real work, not demos.
At a certain point, it was obvious this needed an umbrella. It didn’t fit inside a SaaS box or a content strategy. It needed its own container.
Tiny Lab is that container.
It puts structure around the experimentation that was already underway, real deployments, tight iteration loops, public case studies, and reusable skills distilled from every sprint.
The thesis is simple.
AI only matters when it changes how work gets done.
Tiny Lab exists to make that visible, measurable, and repeatable.