The operating system for agentic coding.
AI can generate more code than teams can confidently understand, review, and ship. ZERØSLØP finds risky code slop in real repos, governs selected fixes through evidence gates, verifies closure, and carries each change to a clear outcome. Each change is cleared, blocked, or escalated.
Early access for developers and AI-heavy teams working on high-risk codebases.
The system can say no.
A finding becomes bounded work. ZERØSLØP records the scope, evidence obligations, and stop conditions, then governs the change through verification. Work without enough evidence is blocked or escalated, not waved through.
A finding becomes bounded work and the change moves through understand, bound, and govern checkpoints, each cleared with evidence. At the verify checkpoint the change is blocked because evidence is missing. When the evidence is attached, the condition clears, the change crosses the verification boundary, and the decision is recorded: eligible to land under declared gates, with a traceable record.
- finding surfaced — structural risk
- understand — cleared
- bound — scope declared · cleared
- govern — bounded execution · cleared
- verify blocked · evidence missing
- verify cleared · evidence attached
- decision recorded · eligible to land under declared gates
Generation is abundant. Trust is the bottleneck.
Trust now lives in what should be built, what already exists, what is safe to change, and what is eligible to land.
Understand. Bound. Govern. Verify. Decide.
ZERØSLØP turns ambiguous or AI-assisted software work into an explicit delivery decision.
- 01
Understand
the real system before consequential change begins.
- 02
Bound
the work, the authority, and the risk.
- 03
Govern
AI-assisted execution against intent, evidence, and standards.
- 04
Verify
closure at a real delivery boundary.
- 05
Decide
cleared, blocked, or escalated, based on what the evidence supports.
Coding agents produce candidate changes.
ZERØSLØP governs whether those changes are understood, bounded, verified, and eligible to land under declared gates.
Find. Fix. Prevent.
Start with a real repo that is AI-accelerated, inherited, or already moving too fast. ZERØSLØP ranks evidence-backed findings, lets you choose the fixes to pursue, turns each selected fix into a bounded governed change, verifies whether it actually closed, and preserves recurrence evidence so the same failure class can be challenged if it returns.
AI can turn a week-old codebase into legacy code in days. Prevention is the other half of the promise. Start governed, stay governed.
Who should request access
- 01 Developers and technical founders with AI-accelerated codebases
- 02 AI-heavy teams that need more confidence in what lands
- 03 Platform, AppSec, and modernization leaders facing brownfield risk
- 04 Anyone whose software cannot afford a bad change
Why ZERØSLØP exists
Ken Adair
Founder LinkedIn
Ken has spent 30 years as a software engineer and technology leader, building systems where trust, security, and operational judgment matter. He founded Mobile Defense, a mobile security startup that grew into a predictive device-intelligence company protecting millions of devices, and led it as CTO through its acquisition by Assurant. He later directed engineering for API and data platforms at 84.51°, Kroger's data science company.
ZERØSLØP comes from a practical conviction: AI agents should expand what engineers can deliver while raising the standard for understanding, evidence, verification, and delivery control.