teemd is a coordinated crew of specialist agents — product manager, builders, reviewers, security — that plans, builds, reviews and ships real software. Every change passes an independent two-model review gate before it merges.
An assistant answers the question in front of it. Shipping software is a different job: someone has to decide what to build, someone has to build it, someone independent has to check it, and someone has to say no when it isn't right. teemd gives that shape to AI — a crew with distinct roles, a brief, a branch, and a gate that the work has to get through.
A product manager turns the request into a scoped brief — what changes, what's out of scope, what proves it worked — before anyone writes a line.
Each builder gets its own branch and its own working copy, so concurrent agents can't overwrite each other's in-flight work.
Two independent reviewers from different model families read the diff against the brief. A blocker from either one stops the merge.
A single model asked to do everything does all of it adequately and none of it independently. teemd splits the work the way an engineering org does — and keeps the roles genuinely separate, so the agent that reviews the work is never the agent that wrote it.
Writes the brief, dispatches the work, holds the gate, integrates the result and reports the end state.
Take the substantial modules — the ones with real data, money or auth surface — and prove the behaviour before handing them over.
Owns the experience a reviewer structurally can't see: empty states, first-run flows, and affordances that promise something the product doesn't do.
Everything below the API boundary — schema, access policies, query plans, and the mechanics of applying a migration safely.
Read-only surveys of the codebase before anyone plans, so decisions rest on what the code actually does rather than on what it's assumed to do.
Verifies anything that comes from outside the building against a primary source, instead of recalling it from training data.
Standing sweeps for whole classes of defect — access control, secret handling, scale and load — not just the diff in front of it.
Read the diff against the brief and check whether its claims survive execution. They never touch the working tree.
This is the part that matters. Plenty of tools will write you a lot of code quickly. The difference between "AI writes code fast" and "AI ships code correctly" is whether anything independent stands between the code and your main branch. In teemd, something always does — and it isn't the model that wrote the code.
A builder implements on its own branch and states plainly what it executed to prove the behaviour — and what it didn't.
An independent reviewer checks the change against the brief: correctness, security, isolation between tenants, and whether the stated claims are actually true.
The same diff is reviewed again by a model from a different provider. Two models trained differently are less likely to share the same blind spots — which is the entire point of running two.
Not a warning. A stop. The fix is folded in, and the gate runs again from the top until both halves come back clean.
An agent asked to check its own output tends to confirm it. That is why the reviewer in teemd is never the agent that wrote the code, why the review is of the committed diff rather than the working tree, and why the second opinion always comes from a different model family than the first. Nothing merges until both reviews reconcile.
Running every task on the largest available model is how AI tooling gets expensive without getting better. A brief, a rename and a security review are not the same problem, and they shouldn't cost the same to answer.
Each task is routed to a right-sized engine for that task — the heavier reasoning where the work is genuinely hard, something lighter where it isn't.
Connect your own provider accounts. Your keys stay yours.
See which agent ran, on which engine, for how long — so the cost of a piece of work is something you can look at rather than infer.
The SamKis Labs portfolio on this site is built this way — brief, branch, two-model gate, then merge.
It's in active development. Join the waitlist and we'll reach out when there's something real to put in your hands.