Engineering Specs
Concrete implementation plans derived from the research.
Phase 1: Feedback Loop — Measuring Before Optimizing
The foundation: before an agent system can evolve, it must be observable. Phase 1 builds the measurement infrastructure.
| Document | Focus |
|---|---|
| Feedback Loop Spec | What to measure: SQL schema, 7 KPIs, Pareto views, alert triggers |
| Implementation Guide | How to build it: Scripts, automation, deployment details |
Roadmap
| Phase | Goal | Status |
|---|---|---|
| Phase 1: Measure | Observe quality + cost per skill execution | Spec ready, partially deployed |
| Phase 2: Mutate | A/B test prompt variations automatically | Planned |
| Phase 3: Population | Maintain diverse skill variants via niching | Research phase |
| Phase 4: Full Evolution | Autonomous improvement faster than manual curation | Long-term |
Each phase builds on the previous one — see Principles P3 and P4 for the theoretical basis.
Engineering-Specs
Konkrete Implementierungspläne, abgeleitet aus der Forschung.
Phase 1: Feedback-Loop — Messen vor Optimieren
Das Fundament: Bevor ein Agent-System evolvieren kann, muss es beobachtbar sein. Phase 1 baut die Messinfrastruktur.
| Dokument | Fokus |
|---|---|
| Feedback-Loop-Spec | Was messen: SQL-Schema, 7 KPIs, Pareto-Views, Alert-Trigger |
| Implementierungs-Guide | Wie bauen: Scripts, Automatisierung, Deployment-Details |
Roadmap
| Phase | Ziel | Status |
|---|---|---|
| Phase 1: Messen | Qualität + Kosten pro Skill-Ausführung beobachten | Spec bereit, teilweise deployed |
| Phase 2: Mutieren | Prompt-Variationen automatisch A/B-testen | Geplant |
| Phase 3: Population | Diverse Skill-Varianten via Niching pflegen | Forschungsphase |
| Phase 4: Volle Evolution | Autonome Verbesserung schneller als manuelle Kuration | Langfristig |
Jede Phase baut auf der vorherigen auf — siehe Prinzipien P3 und P4 für die theoretische Basis.