Self-built AI pipeline
LLM Product Summary Regeneration
PM-built end-to-end LLM pipeline publishing 40K+ regenerated summaries and handed to science for scale-up.
Problem
Summary quality and consistency bottlenecked catalog conversion improvements.
Solution
Designed and deployed regeneration pipeline, shipping production output and transfer-ready architecture.
Outcome
+1.7% gross sales per session in A/B test and roadmap path to 257+ product types.
Architecture
A placeholder implementation path that can be expanded with screenshots, data contracts, system diagrams, and measurable results as the project matures.
01
Candidate selection
02
Prompt templates
03
Generation pipeline
04
Quality checks
05
Publishing workflow
06
Scale handoff
Product Artifacts
Sanitized examples to demonstrate product thinking and execution style when proprietary materials cannot be shared.
- PRD outline (problem framing, success metrics, rollout plan)
- Workflow wireframe / journey snapshot
- Evaluation rubric or quality checklist
- Operational metrics dashboard mock
Metrics to Track
- Summaries published
- Gross sales/session
- Coverage by product type
- Edit acceptance
Product Role
- Built prototype personally
- Operationalized publishing
- Enabled org-level scale handoff