AI Agent Rework Audit

Your AI coding agent might be solving the same problem twice.

Long coding-agent sessions can reconstruct context, reopen previously explored files, and repeat debugging or investigation work. Upload a sanitized sample and we'll identify where that happened in your workflow.

One-time payment · Results within 24 hours · Satisfaction guarantee

Synthetic demonstration telemetry
○3 work episodes analyzed
●1 repeated debugging sequence detectedHIGH
●1 repeated context-load sequence detectedMEDIUM
◆1,500 duplicated tokens in this synthetic exampleMEASURED
✓Context Recovery Capsule: generated
SESSION 04 — Jan 15
→Opened auth.ts
→Searched "refreshToken"
→Inspected middleware
→Reproduced HTTP 401
SESSION 06 — Jan 17
→Opened auth.ts
→Searched "refreshToken"
→Inspected middleware
→Reproduced HTTP 401

SYNTHETIC EXAMPLE — not real customer data

What you receive

Repeated/reconstructed work findings with evidence
Repeated file/context loading sequences
Duplicate debugging and investigation patterns
Token/cost duplication estimate where measurable
Context Recovery Capsule (copy + download)
Three specific recurrence-reduction changes

Supported inputs

.txt.md.json.jsonl.csv

Codex, Claude Code, Cursor, GitHub Copilot, and generic coding-agent session exports. No official partnerships claimed.

Privacy

Submit only sanitized session history. Never upload passwords, API keys, credentials, secrets, private customer data, or information you are not authorized to share.

Uploaded data is used only to produce your audit unless you separately opt in to anonymized aggregate learning.

Guarantee

If the audit does not give you a materially clearer picture of repeated agent work plus concrete changes for reducing recurrence, contact us for a refund.