Stop losing research output between pipeline stages. Find where 9,056-char artifacts become no_eligible_research skips.
Your Problem
sprint_product_from_research skips with no_eligible_research despite market_research_deepening producing large artifacts — research output is being lost between stages.
1What You Get
Root Cause Incident Report (PDF, 12-20 pages)
Numbered investigation findings documenting the exact stage where artifact serialization breaks down and data gets flagged as ineligible.
Replay Fixture (Python test case)
Deterministic test case in Python that reproduces the pipeline skip so you can verify the fix without manual intervention.
Artifact Serialization Audit (JSON schema diff)
Side-by-side comparison showing how deepening stage outputs are serialized vs. what product sprint stage expects to parse.
I need read access to your agent pipeline repository, the relevant logs from recent no_eligible_research occurrences, and the schema definitions for market_research_deepening and sprint_product_from_research stages. Read-only access is sufficient; no deployment permissions required.
What if the root cause is in a closed-source dependency?
If the artifact loss stems from a dependency I cannot inspect, I'll document the boundary condition that triggers the skip and provide a mitigation strategy — either a schema wrapper or input normalization that prevents the incompatible output from reaching the failing stage.
What if the replay fixture passes after you deliver?
The replay fixture is built to the exact state of the bug as logged. If it's been resolved in the interim, I'll note this in the incident report and refund the sprint fee. You keep the schema audit and monitoring guide.
What if this uncovers additional issues in the pipeline?
The sprint is scoped to the no_eligible_research skip. If the investigation surfaces related issues, I'll document them as follow-on candidates. We can discuss a new sprint or extended engagement if you want those resolved in the same delivery window.