What problem does it solve?
PAIUpgrade identifies and ranks upgrade opportunities for the PAI framework by correlating internal reflections, user TELOS context, and external signals into structured, executable techniques.
Core Features & Use Cases
- Multi-thread analysis: Prior-Work Audit, User Context, Source Collection, and Internal Reflections converge into actionable upgrade candidates.
- Prior Status gating: All recommendations are traced to Thread 0 evidence to ensure novelty and prevent repeats.
- Canonical outputs: Produces Discoveries, Recommendations, Technique Details, Internal Reflections, Summary, Skipped Content, and Sources Processed in a single report.
- Actionable integration: Each technique maps to a PAI component (Algorithm, Skills, Hooks, or Config) and includes concrete before/after steps.
- Use Case: When the PAI Algorithm needs improvement, run PAIUpgrade to surface prioritized upgrade steps with evidence.
Quick Start
Run the PAIUpgrade workflow with your upgrade goal to start generating prioritized upgrade recommendations.