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v2.0.0 — AgentLoop Experimentation & Recommendation Platform

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@sam1064max sam1064max released this 15 Jun 13:52

Phase 2 Release — What should we change next?

New Components

  • Experimentation Engine: full A/B testing lifecycle
  • Statistical Attribution: 6 hypothesis tests + Bayesian comparison
  • Cohort Analytics: user segmentation with drill-down
  • Recommendation Engine: 5 recommendation types, P0-P3 priority
  • Regression Detection: automatic incident creation
  • Version Intelligence: lineage trees, version diff
  • KPI Impact Engine: business translation layer
  • SDK Layer: Python + TypeScript packages

Infrastructure

  • Docker Compose startup maintained
  • CI/CD pipeline extended
  • 500K session synthetic data generator
  • Full documentation

8 Questions Answered

Which agent version best? ✓ | Which prompt best? ✓ | Which experiment won? ✓ | Which cohorts benefit? ✓ | Which regressions caused changes? ✓ | What to do next? ✓ | What business impact? ✓ | Highest ROI recommendation? ✓