Every AI, one team.
We don't pick a model and call it a day. ChatGPT, Claude, Gemini, Grok, Llama, Midjourney, Sora — whichever wins on this task is the one in the loop. No vendor loyalty. The stack is a toolbox, not an identity.
The studio plugs every frontier AI model into one workshop. Wild idea on Monday, working prototype on real data by Friday — with a measurable outcome attached to every build.
The studio is a working shop, not a lab. Every engagement runs on the same four principles — they're what keeps the cycle short, the stack honest, and the outcome measurable. None of it is theory; this is how a build actually moves through the room.
We don't pick a model and call it a day. ChatGPT, Claude, Gemini, Grok, Llama, Midjourney, Sora — whichever wins on this task is the one in the loop. No vendor loyalty. The stack is a toolbox, not an identity.
Days, not months. A wild idea lands on Monday. By Friday it's a working prototype running on real data. Scope is killed early; surface area is small; the goal is something you can click, not a slide deck.
Every build has a number attached: more revenue, less churn, faster ops. AI is the how. The KPI is the why. If the number doesn't move, we tear it down and rebuild.
We track every model drop, every new tool, every shift in the landscape. By the time it's news, we've already tested it. The stack you'll be using six months from now — we're in it this week.
Most studios call this a sprint. We call it a week. The shape is deliberate — long enough to ship something real, short enough that scope can't sprawl. You sit in the room as much or as little as suits you.
Map the ambition to one measurable outcome. Kill 80% of the surface area. Pick the model stack — and the failure case we'd rather see.
Pull the right models, plug them into your data, instrument the metric. Vibes-test outputs ourselves before anyone else sees them.
Ugly UI, real data, end-to-end. The first version you can actually click. The version that tells us whether the idea has legs.
Swap models, prompt strategies, eval sets — whatever moves the KPI. Cull the prompts that aren't pulling weight. Lock the winning configuration.
Working prototype, source, evaluation notes, and a one-page handoff that tells your team exactly what's needed to take it further.
Every studio engagement ends with a working thing. Sometimes it's a prototype to validate an idea, sometimes a tool a team picks up and runs with on Monday. These are the four shapes a build most often takes — they're independent, but combine cleanly.
The original studio output. Take a wild idea from sentence to clickable thing in a week, with a number attached.
When the prototype hit. Harden it into a multi-step agent or pipeline — observability, fallback paths, eval sweep, scheduled runs.
Don't know which model fits? We run the bake-off — same task, every contender, your data, your evals — and hand you the receipts.
We sit alongside your team for a defined run — pair on builds, ship prototypes against your roadmap, leave a sharper team behind.
A partial snapshot of what's currently on the rack. The list shifts weekly — we add what's worth adding and quietly retire what isn't. The point isn't the list; the point is that whichever model wins on your task is the one we'll reach for, without a sales pitch.
The future doesn't wait around. We build it anyway — one thing nobody thought possible at a time.
Drop your most ambitious challenge — the one nobody else will take on. A 30-minute call is enough to know whether the studio can ship a working version of it next week.