Planner
RU
An agent writes code in minutes — then you spend hours re-checking whether it actually did what it claims. In Sonar's survey, 96% of developers don't fully trust AI code — they aren't sure it's functionally correct. Planner closes that gap: the agent proves every criterion, an independent judge verifies — “done” means proven, not narrated.
See how it works →Interactive demo — no signup
Generation dropped to near-zero cost. Verification didn't. 61% of developers say AI often produces code that looks right but isn't reliable; 38% say reviewing AI code takes more effort than reviewing a human colleague's. AWS CTO Werner Vogels called this verification debt: the checking debt you pay by hand after every “done”.
Sources: Sonar — State of Code Developer Survey (96%, 61%, 38%) · IT Pro — “verification debt”, Werner Vogels (AWS re:Invent)
Tests are green — but they check a stub, not behavior. The function you asked for is still a TODO under a tidy progress report. The agent generates completion language with the same engine as the code — regardless of what's actually on disk. And one and the same party both proves the work and accepts it. There's no independent check in the loop.
Planner puts a verifiable loop of four steps between “the agent said so” and “the task is closed”:
Verifiable over the result, not “on word”. What exactly must become true for the task to count as closed.
The agent gets not a vague request but a goal with explicit criteria — and knows what its closure will be checked against.
Artifacts of the result — not a report about the work done.
→ the agent provesA separate session with no access to the agent's reasoning — it judges by the attached artifacts, not by its report. It substantively matches evidence against the criterion and accepts the closure or rejects it with a reason.
→ the judge checksThe agent proves. The judge checks. “Done” stops being the agent's word and becomes a verified fact — without the verification debt you used to pay by hand.
From a live demo run. The agent reported the onboarding step finished and attached a screenshot as its proof. The judge ruled on the screenshot itself — not on the report.
Every verdict quotes the evidence it read. Check it yourself.
That rejected card is iteration 1. Here's the same onboarding criterion run through the loop again and again — every attempt judged on the visible result, and the count of satisfied conditions only moves one way.
Five attempts, one criterion — the satisfied-condition count never goes backward. That ratchet is the point: every accepted “done” is one the evidence had to earn.
Ask one to add authentication to your project and it'll tell you it's done. Commits made, tests passing, middleware wired up. Check the branch and you'll find a half-written JWT helper, no tests, and a build that doesn't compile.— Brad Kinnard, “AI coding agents lie about their work”
Set the criteria once — and let the agent prove while the judge checks. See on a finished example how “done” becomes proven.
Early access. Planner is built in its own development and runs every one of its tasks through the same loop — the demo example is real, not mocked up.
See how it works →Interactive demo — no signup