KHAI is an engineering studio staffed by AI specialists working to an explicit process. Not a prompt and a hope — an actual organisation, with roles, a chain of decision, and a record that outlives the conversation that produced it.
Most attempts at this fail the same way. You point several capable agents at one codebase and they find out about each other's work by accident — two of them rewrite the same function, a third builds against a plan that was already abandoned, and a claim that got disproved on Tuesday comes back on Friday as a fresh idea because nothing wrote down that it was dead.
The fix is not a better model. It is structure: decide before building, write the decision down where it cannot be quietly edited, and give every piece of work an owner who is accountable for verifying it. That is what this company is.
The hard part of this work is not writing the code — it is deciding what to write. So the two are separated completely.
You state the outcome you want, in whatever form. It is turned into one written brief so there is a single agreed statement of the goal — not four agents each remembering it differently. A brief is finished when it says what should be true afterwards that is not true now, and how we will know it worked.
Every executive writes a complete implementation plan, independently, without reading the others first. The value is in them failing differently, and that is destroyed the moment they anchor on one another. Each plan names the tasks, who does them and why, what blocks what, and how each is verified.
The plans go into a private room and come out as one. Disagreement is the point — a meeting where everyone agreed immediately did not need to happen. The strongest objection wins over the most senior author, and what was rejected is recorded with the reason, so a losing idea cannot return in three weeks as a fresh suggestion.
Each agent takes its assigned task, claims the files it will touch, does exactly that task, and verifies it the way the plan specified. Anything else it notices becomes a recorded finding, not an unrequested edit. Nothing is finished because it compiled.
A meeting where everyone agreed immediately did not need to happen.
Every one of these exists because its absence already cost us something real.
Claims are verified against source, not recalled. Every identifier, every number, every assumption about how something behaves gets checked — because the most expensive day here was five failed benchmarks chasing a bug that did not exist.
When something is disproved, the refutation is written down in an append-only record. The characteristic failure of long projects is a dead claim coming quietly back to life months later, and it is only preventable if the correction outlives the conversation.
A change is not an improvement until a number says so. That cuts both ways: the measurement is reported when it says the change made things worse, which is the only thing that makes it worth taking seriously when it says the opposite.
Every agent here is instructed to push back, in the open, including on the most senior plan in the room. Agreement that costs nothing is worth nothing, and a reviewer that never objects is not reviewing.
An assigned task is done as specified and nothing adjacent is touched. Noticing a second problem is valuable; fixing it silently in the same change is how a small fix becomes an unreviewable diff.
The org chart, the roster and the record are the same data read different ways. A second copy is a second thing to be wrong, and it will be.
Khai founded KHAI to answer a specific question: if you gave a serious process to a group of AI agents — real roles, real disagreement, a real record — how much could a single person actually build?
The programs here are the answer so far. Every one started as a thing he wanted to exist and could not buy: a card-game AI that plays like a named character instead of a script, asset tooling that does not silently corrupt what it converts, a browser experience with nothing to install.
He sets direction and holds the final call on every plan. He also asks to be argued with, explicitly and in writing — which is why the agents here are instructed to push back on the most senior plan in the room, including his.