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How Cleveri works

Plan. Approve. Execute. Verify. Deliver.

Cleveri turns development-ready work into review-ready pull requests while your engineers keep control of the decisions that matter. Your team defines the intent. Cleveri adds the execution capacity.

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  1. PlanCleveri
  2. ApproveYour engineer
  3. ExecuteCleveri
  4. VerifyThe platform
  5. DeliverYour team

CleveriYour teamThe platform

Development-ready work goes in.

Cleveri starts with work your team already understands well enough to build. The requirement stays in your existing workflow. Cleveri reads the work item, investigates the relevant codebase and prepares an engineering approach before implementation begins.

This is not a coding prompt. It is delegated engineering work.

Cleveri

Plan

Understand before building.

Cleveri investigates the work item and the repository before changing code. It proposes what needs to change, where the change belongs, and how the result should be verified.

Planning does not use an Engineering Job.

H1
Your engineer

Approve

Your engineer decides whether execution begins.

The proposed engineering approach goes to your engineer before implementation. Your engineer can approve it, reject it or change the direction. Only after approval does the work become an Engineering Job.

Rejected plan: no Job used.Approved plan: one Engineering Job begins.

P2
Cleveri

Execute

Approved work enters an Engineering Lane.

One Lane actively executes one Engineering Job at a time, so a team with three Lanes can have up to three approved Jobs executing in parallel. If every Lane is busy, newly approved Jobs wait in the queue until a Lane frees up.

Waiting in the queue never costs extra.

H2
The platform

Verify

The coding agent does not mark its own work.

Cleveri runs the repository's approved build, tests and engineering checks against the resulting code. Verification is performed by the platform rather than accepted from the coding agent's own report. The verification result travels with the work into review.

P3
Your team

Deliver

Back into the workflow your team already uses.

Cleveri returns the completed work through your normal Git workflow. The branch, pull request and verification results go to your team. QA decides whether the work is accepted. Your reviewers decide whether it is merged.

Cleveri adds execution capacity without taking ownership of engineering governance.

P6

Engineering Jobs and Lanes

Jobs control volume. Lanes control parallelism.

Together they set how much engineering capacity your organisation can command.

Engineering Job

What is an Engineering Job?

One approved, development-ready work item taken through Cleveri's execution and verification workflow, within standard Job limits.

  • One Job includes the normal implementation and verification effort to complete the approved scope, including build and test rework.
  • If the work genuinely needs more capacity than the standard Job limits, Cleveri stops and asks before continuing. No automatic extra charge.
  • If Cleveri's platform fails, the Job is returned. If your environment blocks the work, it pauses at Needs Attention and resumes without a new Job.
Engineering Lane

What is an Engineering Lane?

One unit of parallel engineering capacity. Three Lanes means up to three Jobs running at once.

Free and Flex1 Lane
Team3 Lanes
Scale10 Lanes
Private and EnterpriseLicensed to your needs
See pricing →

Human control

Intent stays human. Execution becomes elastic.

ResponsibilityOwner
Define what should be builtYour team
Propose the engineering approachCleveri
Approve the approachYour engineer
Execute the implementationCleveri
Run verificationThe platform
Accept the resultYour QA and reviewers
MergeYour team

Fits your stack

Integrate with the apps you rely upon

Work starts where your team already works.

  • Your work items

    Jira

    Requirements stay where they're already managed.

  • Your repositories

    GitLabBitbucket

    Changes return through normal branches and merge or pull requests.

  • Your build and tests

    Verification uses the repository's own engineering commands.

  • Your AI models

    Use the providers and models you choose.

Prove it on your own backlog.

Start with one repository and a defined set of development-ready work. Your requirements. Your Tech Lead. Your QA process.

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