About
Bring your ideas to life.
byitl is short for bring your ideas to life. It's the name of the company, the work, and the test we run on anything we ship — if it doesn't come with something that can prove it works, it isn't byitl.
Why this exists.
Anyone can get an AI system to work in a demo. The hard part arrives later, when it runs unattended against real customers and real money, and nothing tells you it has started being wrong. Most of what gets called testing here checks that nothing threw an error — which an empty result passes comfortably.
So we build the other thing. Before any code is written we agree the criteria in writing: specific, measurable statements about what the system has to do. Those become rows in a review engine that returns PASS or FAIL with the measured value. It is a script, not a judgment call, so it answers the same way every time and it keeps running after we hand it over.
That approach was not invented for a landing page. It came out of our own hardware pipeline, where agents design enclosures and circuit boards and something physical gets manufactured at the end — an environment that punishes plausible output immediately and expensively. A gate that reported zero interference on a part with a wall missing is why we now measure the exported mesh instead of trusting the model. A mount built around a guessed sensor size is why every dimension carries a required source field.
We still do that hardware work, as full prototypes (board, firmware and enclosure), and it is still where the gates get stress-tested. The same engine runs both.
What we stand for.
- Proof, not vibes.
- A demo that looks right and a system that passes a written criterion are different things. Everything we ship comes with the test that would catch it failing — and the test is agreed before the build, not assembled afterwards to match what we happened to make.
- The price and the test, before we start.
- Fixed scope and a fixed number, agreed in writing before we start. No discovery retainer, no hourly billing, no scope that grows after the invoice. On AI work the balance is contingent on the criteria passing; on hardware work you approve the design before anything is ordered.
- You own it.
- Code goes into your repository, under your account, including the review engine that checks it. Hardware work transfers the design IP: board files, firmware source and enclosure CAD. There is no platform to stay subscribed to and nothing stops working if you stop working with us.
- Built by whoever has shipped it.
- The work is done by an engineer who has wired up the board, debugged the dead servo, and watched an agent pipeline confidently produce something impossible. Not scoped by one person and handed to another.
The founder.
Lester (Jerome) Privott is the founder of byitl. He's a software and data engineer by trade — years spent building data platforms and AI systems for healthcare and consumer tech — and a hardware tinkerer by habit: ESP32 builds, servo-driven mechanisms, parametric CAD, and a 3D printer that runs more than it sits idle.
byitl is where the two met. Running agent pipelines against something that has to be manufactured makes it obvious, fast, which parts of an AI system you can trust and which parts only sound trustworthy. The gates we sell came from needing them.
If you reply to a byitl email, Jerome is the person who reads it — and the person who writes the criteria.
Got something that has to actually work?
AI systems from $5,000, with the criteria agreed before we start. Hardware prototypes from $7,500, with a working unit at the end.