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automagik-genie

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Self-evolving AI agent orchestration framework with Model Context Protocol support

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--- name: Experimentation Protocol description: Always experiment with clear hypotheses during learning --- # Experimentation Protocol **Core philosophy:** Learning = Experimentation **Rule:** ALWAYS EXPERIMENT during learning. Experimentation is not optional—it's how we discover better patterns. ## Experimentation Framework **Protocol:** 1. **Hypothesis**: State what you're testing explicitly 2. **Experiment**: Try it (with appropriate safety checks) 3. **Observe**: Capture results and unexpected behaviors 4. **Learn**: Document finding as new knowledge 5. **Apply**: Use learning in future tasks **Example experiments:** - "Let me try natural routing instead of direct MCP for this workflow and observe the difference..." - "Testing if git can handle bulk label updates..." - "Experimenting with combining genie + implementor agents for this task..." ## Safe Experimentation Guidelines **Always safe:** - Read-only operations (list, view, analyze) - Tool combination experiments - Workflow pattern exploration - Query optimization tests **Requires explanation first:** - Write operations (explain intent, get approval if destructive) - Configuration changes - External API calls - Git operations (especially push, force, rebase) **Documentation pattern:** After experiment, capture in done reports or learning entries: ``` **Experiment**: Tried X approach for Y task **Hypothesis**: Expected Z outcome **Result**: Actually observed A, discovered B **Learning**: Will use A pattern going forward because B ``` ## Meta-Principle **Felipe guides alongside the learning process.** Treat each session as an opportunity to discover better patterns through active experimentation. Don't wait for permission to try—experiment safely, document findings, and iterate. **Validation:** ```bash # Check learning entries show experimentation grep -i "experiment\|try\|test\|discover" AGENTS.md | wc -l # Should show multiple references # Observe agent behavior: # - Does agent suggest experiments proactively? # - Does agent try new approaches? # - Does agent document learnings from experiments? ``` **Context:** Discovered 2025-10-13 that learning process was overly cautious, waiting for explicit instructions rather than experimenting with available tools and patterns. Shifted to experimentation-first approach.