How it works
Set the standard once. Looply carries it from there.
People and agents share one workflow: your team defines what “good” means, that standard and the decisions behind it travel with the work across every handoff, and each result returns checked against it — with the evidence to accept it or send it back.
The loop
Agree. Work. Judge. Improve.
Agree
Connect a repo. Looply proposes a standard from your code, tests, and docs; your team confirms what “good” means, what to preserve, and who’s accountable.
Work
People and agents do the work. Looply carries the intent, decisions, and context across every handoff and routes open questions to the right person — nothing gets re-explained.
Judge
Every result comes back checked against the standard, with evidence: what passed, what needs a fix, what needs a human’s call. The accountable leader accepts it or sends it back.
Improve
Looply learns from every result accepted or corrected, sharpening how the next task is planned, coordinated, and checked — so it starts closer to what your team meant.
What runs on every result
Three levels of enforcement, one report.
Deterministic checks
An objective floor runs first: dependency and layering boundaries, complexity, coverage, security scans, and the conventions your team confirmed — the facts that don’t need an opinion.
Functional tests
Looply checks the change does what was asked without breaking what worked — combining your existing tests with new ones written for the requirement at hand.
Sandbox simulations
The change runs in an isolated environment against realistic scenarios, so reliability and user experience are judged from observed behaviour — not inferred from reading code.
The shift
What the day-to-day becomes.
A person is accountable for the result. That’s not a limitation. It’s the point.
At launch
Free for individuals, this December.
- ✓Fits how your team already works — connect a GitHub or GitLab repo. People and agents work exactly as before; each result comes back with evidence attached.
- ✓Runtime-neutral — bring your own runtime and API key, or use Looply-hosted models billed by token. Enterprise runs models inside your own infrastructure.
- ✓Evidence you can measure — a live benchmark of precision, recall, and F1 against a labeled corpus, plus a methodology whitepaper. Measure us, don’t take it on faith.
Free for individuals · December 2026 Team $30/seat/mo · March 2027 Enterprise · custom
Join the waitlist
If this is how you want your team to work with agents, come build it with us.
Free for individuals at launch, per-seat for teams from March 2027. We want the people who share the conviction early.
Join the waitlist