Make the result better, too. UXcalibur helps your coding agent find a few justified interface changes from evidence in your app—within the focus areas and exclusions you choose.

Codex · Claude Code · Cursor Versioned method · MIT

01 / The working loopChoose a job. Follow the evidence.

01

Set the boundary.

Name what a person needs to accomplish or improve. Choose the flow, focus areas, exclusions, and observable criteria.

02

Inspect real behavior.

Follow the relevant interface and source. Separate what was observed from what is inferred. Preserve what already works.

03

Make a useful cut.

Get a ranked recommendation with its behavior contract and acceptance check. Implement when authorized, then verify.

02 / What you getEnough depth to act.
Focused pass / defaultEvidence → contract → check

A short list. A clear reason for every cut.

Each recommendation connects an observed obstacle or opportunity to the chosen outcome, the proposed behavior, supporting implementation, preservation rules, confidence, and an observable check.

Ranked cutsOwned contractsAcceptance evidence
Read the method

For broader, explicitly requested work, the same method produces a detailed upgrade specification with complete flows, implementation packets, dependencies, and a living tracker. A focused pass stays focused; there is no required finding count.

03 / A concrete exampleSynthetic app. Reproduced behavior.

Find → read → resume

Return to where review stopped.

The review inbox could find the right note. Returning from it reset the list and lost keyboard focus. The first cut restores the originating row, position, and focus.

Follow the evidence and verification
Before / desktop list scroll
1030 → 0
After / desktop list scroll
1030 → 1030
Keyboard return
BODY → note-049

The same four continuity cases fail at the expected assertion on the preserved baseline and pass after implementation. This demonstrates actionability on a synthetic flow; it does not measure customer outcomes or general method accuracy. View the full proof.

Bring a task worth improving.

The installed skill and reference files are the product. Your agent supplies its model, tools, permissions, and processing environment.

Install & run a pass