LabMinded.AI — The MindProfit Lab. Experiment. Learn. Build.

A private AI lab in Huntington Beach, for people already deep in AI to build, test and trade what works.

Ask for a seat How a lab night works ↓
A scientist in a LabMinded lab coat works over a glowing AI brain, surrounded by screens showing ideas turning into prototypes, agents and automation.
Idea → prototype → test → deploy. Every night, in that order.
Why take a seat

What a seat gets you.

A room at your level.

Ten people who do this for a living, one problem, laptops open. Nobody needs the basics explained.

Bring what you are stuck on.

Someone at your level looks at your actual screen. Leave with it working, scoped, or ruled out.

See how strong builders work.

Their tools, their evals, their debugging order: the moves nobody writes up.

New releases, judged for real.

Run on real hardware soon after they ship, by people who will actually use them.

You keep what you build.

Nothing recorded, nothing published, nothing pitched.

Lab nights

Not a talk. A workbench.

No slides and no sales pitch. A small room, one problem, and the tools on the table, from first idea to something that runs.

01 · SMALL

About ten people

Small enough to break into pairs and threes and work a problem together. You see how the others think, what each is strongest at, and where someone could use a hand.

02 · ONE TOPIC

One thing, done properly

Each night takes on a single idea and goes deep, instead of skimming ten.

03 · HANDS ON

Laptops open

Bring a laptop and a real problem. Leave with something that works, a new tool in your kit, or the person who can help you build it.

04 · IN PERSON OR ONLINE

Wherever you are

Join us in Huntington Beach, or join online from wherever you are. Good people are welcome wherever they live.

Idea→Prototype→Test→Iterate→Deploy
On the bench

The kind of things we build.

Topics follow what just shipped and what the room is working on. For example:

Models

  • Local and open-weight modelsRunning, quantising and serving models on your own hardware.
  • Fine-tuning and distillationMaking a small model do one job as well as a big one.
  • Model routingSending each task to the cheapest model that gets it right.
  • Inference speedBatching, caching and latency on a real budget.

Agents and systems

  • Agent architecturesPlanning, tool use and multi-agent orchestration that survive real work.
  • Tool and protocol layersConnecting models to real systems safely.
  • Memory and retrievalLong-term memory, retrieval and getting the right context in, every time.
  • Guardrails and permissionsWhat an agent may do, and how you prove it didn’t.

Proof and safety

  • EvaluationProving a model, prompt or pipeline is better, not just different.
  • Red-teamingPrompt injection, data leaks and jailbreaks, tested on our own builds.
  • ObservabilityTracing what an AI system actually did, and why.
  • Data privacy by designKeeping client data off third-party servers.

Frontier and hardware

  • Voice and real timeSpeech in, speech out, and the latency in between.
  • Vision and multimodalReading screens, documents and images.
  • Home-lab hardwareGPUs, unified memory, and what a small cluster can do.
  • New releases, tested liveWhat just shipped, run on the bench, and whether it holds up.
Who it's for

Already deep in AI. Still building.

Builders, engineers and researchers who work with AI every day and want a room of people at the same level. Bring what you are working on, what broke, and what you found that works. This is where it gets shared. Seats are by invitation.

Opening soon in Huntington Beach, and online

Seats are by invitation.

Tell us who you are and what you would like to build, and we will be in touch when the next lab night is set.

Ask for a seat

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