ProcliVerify AI-built software before you ship.
Procli checks the code Claude writes, verifies what it claims it completed, and reviews risky actions before they run—so founders and developers can move fast without trusting the agent blindly.
Control what your AI agent says and does.
AI coding creates two risks before the code is even reviewed: the agent may claim work it did not verify, or attempt an action you would not knowingly approve. Procli adds evidence and control at both points.
Claim Verification
Your agent said it worked. Procli checks the evidence.
Procli Cheat compares claims such as "tests passed," "build succeeded," "file created," and "no vulnerabilities found" with the commands, exit codes, test results, and files produced during the session. You see what is verified, what is contradicted, and what remains unproven before you trust the final summary.
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Action Guardrails
Stop risky actions before they run.
Procli Guard reviews Claude Code tool calls before execution. It automatically blocks clearly destructive actions and sends sensitive or uncertain actions for review. Routine work continues without unnecessary interruptions, while dangerous actions do not pass silently.
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Why AI-built software needs independent verification
Why AI-built software needs independent verification
AI can write code faster than teams can verify it.
Research on verified AI-authored commits found that generated changes can leave code smells, bugs, and security issues that persist after merge.
Working code is not the same as verified code.
An AI agent can satisfy the visible request while missing authorization checks, input validation, failure paths, ownership controls, or the tests it claimed to run.
45%
of generated code samples failed security tests in Veracode’s 2025 evaluation of more than 100 AI models.
Procli checks four failure points in one workflow: code quality, application security, completion claims, and agent actions.
Built around the way you use Claude Code
Claude Code workflow
Check before the agent acts.
Procli uses Claude Code hooks to review tool calls and verify completion claims while the session is still active. The agent receives a clear result before the workflow continues.
Focused on one workflow today.
The beta is focused on making the Claude Code experience reliable and easy to use. Additional agent integrations can follow after that workflow is proven.
Procli adds checks at the moments where blind trust is most expensive—before an action runs, after code changes, and before the code is shipped.
See what needs attention.
Connect your GitHub repository and review prioritized quality and security findings in one place. Each finding explains where the problem is, why it matters, how severe it is, and what should be fixed.
Check before you push or ship.
Run Procli directly from the terminal whenever you need a clear review before pushing code, releasing an application, or handing the codebase to another person.
Did the agent prove it—or only say it?
AI agents can produce confident completion summaries even when the available session evidence does not support them. Procli Cheat compares statements such as "tests pass," "the build succeeded," and "the file was created" with what actually happened during the session. Incorrect exit codes, incomplete test runs, missing files, and unsupported claims are surfaced before you rely on the result.
Ship AI-built software
with evidence,
not assumptions.
Check the code. Verify the claims. Control the actions. Procli gives you one verification layer before AI-built software reaches production.
Beta access
Free during beta
Use the complete Procli workflow while we refine it with early Claude Code users.
Procli Cheat Claim Verification
Procli Guard Action Guardrails
Procli Quality Dashboard
Procli Security Dashboard
Claude Code Hooks
CLI Checks
AI-assisted development needs evidence about what changed, what actually ran, and what the agent should be allowed to do. Procli provides that verification and control before the software reaches production.