Guided Course
Self-Improving AI Systems
Automated prompt optimization, log-driven harness patching, principle extraction, memory-driven evolution, and the governance framework for systems that modify themselves.
- 1. What self-improvement means6 min
- 2. The dual-loop architecture6 min
- 3. Prompt versioning and experimentation6 min
- 4. Automated Prompt Engineering (APE)6 min
- 5. Production prompt optimization7 min
- 6. Structured Execution Logging10 min
- 7. Failure Analysis and Pattern Extraction9 min
- 8. Automated Harness Patching9 min
- 9. Principle Extraction11 min
- 10. Workflow Topology Evolution10 min
- 11. Memory-Driven Evolution9 min
- 12. Governance of Self-Modifying Systems9 min
- 13. Capstone: Building a Self-Improving System10 min
About Nybble™
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