AI consulting and custom agent development, delivered with a deterministic pass/fail gate you can run yourself.
Most AI projects are sold on adjectives — production-ready, reliable, robust. We agree the test before we build, write it into the contract, and hand you the engine that runs it. If it fails, you do not pay the balance.
Fixed scope, fixed price, from $5,000. Your code in your repository. No retainer.
| G1 | envelope fits build volume | PASS |
|---|---|---|
| G2 | wall ≥ 1.6 mm at every face | PASS |
| G3 | SHT40 intake ≥ 105 mm²measured 82 mm² | FAIL |
| G4 | lid clears full swing | PASS |
| G5 | every part has a dimension source | PASS |
A real gate from our own work: five assertions on an enclosure design, one of them failed on a measured value. This is what ships with every build.
Half of the companies moving customer service to AI are expected to give up on it by 2027.
Gartner’s forecast, and it matches what most teams find: the build is the easy part. What breaks a project is nobody being able to say whether the thing is working today, in a way that does not depend on someone’s opinion.
Almost everyone selling AI work will hand you a demo and an adjective. We would rather hand you a test you can run on a Tuesday morning six months from now.
This is the architecture behind every system we ship. It exists because the expensive failures are never the ones you thought to test for.
Builds the thing
An agent writes the implementation against your spec — the workflow, the integration, the pipeline. Ordinary work, done fast.
Runs the assertions
A deterministic script, not a model opinion. Every criterion we agreed is a row that returns PASS or FAIL with a measured value. Same input, same verdict, every time.
Asks whether it would really work
The engine can only check what it was told to check. So a separate reviewer, given no knowledge of how the thing was built, looks at the result and answers one question from first principles. It catches the failures nobody wrote an assertion for.
You get the engine, not just the verdict. It runs in your CI, on your machine, after we are gone — so “it still works” is something you can check rather than something we assert.
Each runs in production for our own work. Each has a review engine that can fail it. The last one has never passed anything, which is the point.
7 agents
Takes a parts list and functional intent, returns a fab-ready 2-layer PCB, a printable enclosure fitted to it, and ESP-IDF firmware wired to the board's own pinout.
Every part must cite a real dimension source — a STEP file, a datasheet, or calipers. Guessed dimensions fail the build.
3 agents
One 360° master in, six publishable cuts out, unattended: it claims a job from a queue, plans the camera moves, renders, checks its own output, then publishes.
The check measures whether the vertical cut was framed independently — a centre-crop of the widescreen fails, even though it looks fine.
5 agents
Researches a market, prices a product against its real page-one competition, and recomputes the margin from cost inputs rather than trusting the claim.
Nine deterministic gates. Across seven cycles it passed nothing — 39 candidates killed, each with the measured reason it failed.
No discovery retainer, no hourly billing, no scope that grows after the invoice. You see the price here so you can decide whether to talk to us at all.
A single automation built end to end, with the gate that proves it.
$5,000
2–3 weeks
Several workflows wired together, with auth, logging and monitoring.
from $10,000
4–8 weeks
Half up front, half on delivery. If the gate we agreed does not pass, the second half is not owed and you keep the work so far. We would rather carry that risk than argue about whether something is finished.
Start a project
We'll get back within one business day on whether it's a fit, what the pass/fail criteria would look like, and which tier it lands in. Or book a 15-min chat.
