Your content pipeline is blocked by slug collision loops. This sprint delivers a complete fix so your AI agents generate content at 100% capacity again.
After the hc-regex fix (commit ccc54ec4), 100% of eligible deep research files are mapping to already-published slugs. Zero new content. Silent agent failure. Every research file blocked.
Five concrete artefacts delivered within 5 business days
Contains the patched commit ccc54ec4 regex with the over-capture bug identified and corrected, plus the revert option if full rollback is preferred. Includes before/after slug generation samples.
Schema-validation YAML definition for slug pre-checks and Python implementation that queries your CMS/database before generation. Triggers slug variation strategy automatically on collision detection.
Deterministic test case in Python that reproduces the 20-file collision scenario. Includes instrumented collision event logger so you can monitor and audit future collisions in real time.
Process documentation for creating a manual review queue where unique slugs can be assigned to the 20 currently blocked research files. Includes tooling recommendations and role assignment guidelines.
Numbered incident report with root cause analysis, timeline of the regression, recommended monitoring thresholds, and an SLA-definition appendix for ongoing slug health monitoring.
Five-day delivery timeline with daily check-ins
Sprint begins within 24 hours of payment confirmation. You receive daily status updates and a final live walkthrough on Day 5.