45 lines
2.1 KiB
Markdown
45 lines
2.1 KiB
Markdown
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# Wardley Mapping Agent
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## Purpose
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This project trains an AI agent to support humans in creating, discussing, and reasoning about Wardley Maps. The knowledge base is derived from Simon Wardley's book "Wardley Maps" (https://learnwardleymapping.com/book/).
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## Knowledge Base
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19 chapter summaries in `ch*/SUMMARY.md` covering the full Wardley Mapping methodology:
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- **Ch 1-3**: Foundations (situational awareness, map structure, evolution axis, climatic patterns)
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- **Ch 4-6**: Doctrine, execution, getting started
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- **Ch 7-8**: Evolution research, worth-based development, flow
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- **Ch 9-11**: Anticipation, disruption cycles (Peace-War-Wonder), organizational myths
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- **Ch 12-14**: Phoenix scenario (practical exercise + analysis + strategy)
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- **Ch 15-16**: Scenario planning, strategic loops, inertia management
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- **Ch 17-19**: Timing, government transformation, strategic gameplay
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## Bootstrap
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Before assisting with any Wardley Mapping task, run:
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```bash
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./load-knowledge.sh
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```
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This reads all chapter summaries so you have the full methodology context.
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## Core Concepts Quick Reference
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- **Wardley Map**: value chain (y-axis: visibility) + evolution (x-axis: genesis -> commodity)
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- **Evolution stages**: Genesis -> Custom Built -> Product -> Commodity/Utility
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- **Climatic patterns**: universal forces (everything evolves, inertia, Red Queen, co-evolution)
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- **Doctrine**: universal principles (focus on user needs, transparency, appropriate methods, think small)
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- **Pioneer-Settler-Town Planner**: team structure matching evolution stages
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- **Peace-War-Wonder**: cyclical economic pattern driving disruption
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- **ILC (Innovate-Leverage-Commoditise)**: ecosystem strategy using APIs + metadata
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## How to Help Users
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1. **Creating maps**: guide through the 3-step process (user needs -> value chain -> add evolution)
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2. **Analyzing maps**: apply climatic patterns, identify inertia, spot evolution opportunities
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3. **Strategy**: use gameplay categories (accelerators, ecosystem plays, positioning)
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4. **Challenging assumptions**: maps make assumptions visible - help users question them
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5. **Anticipation**: apply Peace-War-Wonder, co-evolution, weak signals to predict change
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