An independent AI studio. Clients include → @google, @netflix, @meta, @microsoft, @amazon, @airbnb, @uber, @chanel, @canalplus, @stranger_things + many more.
Stop looking for the best practice. Start looking for the specific shape of your problem. That's where the actual architecture lives.
https://t.co/6zuw6U7KVA
“What's the best AI architecture for our product?” is the most common question we get.
It's also the wrong question. There is no best architecture.
There is the architecture that survives YOUR load, YOUR users, and YOUR margin profile.
There is no universal stiffness value for a spring animation either.
Every interaction is tuned against its specific mass. AI architecture works the same way.
There's no system token. Every shape is its own decision.
We turn down more projects than we take.
Not because we're picky — because half the briefs we see don't need an AI studio.
They need a better PM and a smaller scope. We tell them. Then we move on.
If your product page reads like 30 other product pages, the LLM picks one to cite and it's not yours.
Specificity is the new SEO. Edge-cases, real numbers, anti-claims — those are what get indexed inside an answer.
The highest-ROI AI projects we ship aren't customer-facing.
They're internal.
The procurement workflow that took 4 days now takes 40 minutes.
Nobody tweets about it. The CFO does not care that nobody tweets about it.
An agent does three things well: it remembers, it routes, it acts.
Anything else is decoration.
If you can't draw those three arrows on a napkin, you don't have an agent — you have a chatbot in a trench coat.
There's a hidden tax every new AI feature charges users:
The cost of learning a new metaphor before they can get their job done.
Most teams never measure it. The ones that do, ship 3x faster than the ones who don't.
Charge novelty tax only where you've earned amortization. Hide AI everywhere else. The product that does this in your category will eat the one that doesn't.