agent-business-canvas
CommunityPressure-test your AI agent’s business model.
Product & Management#pricing strategy#model routing#business model#unit economics#investor diligence#agent economics#memory moat
Authorharperreed
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It helps you evaluate whether an AI agent product’s business model is viable by turning fuzzy “agent economics” questions into a structured, research-backed canvas.
Core Features & Use Cases
- Opinionated business-model framework: Uses a seven-dimension canvas (context economics, pricing architecture, routing, cost trajectory, memory/switching costs, unit economics, distribution vs. optimization) to force decisive analysis instead of neutral options.
- Investor and founder lenses: Adapts the questions and red flags depending on whether you’re optimizing for survival/building or for diligence/traction risk.
- Research-weaved pressure testing: Grounds each dimension in current model-pricing and market signals, emphasizing measurement (e.g., cost-per-session-start) and distribution/whale-tail realities.
Quick Start
Ask the AI to run the Agent Business Canvas for your agent product, including (1) whether you are building or evaluating, and (2) a 2–3 sentence description of what the agent does, who it serves, and how it’s priced today.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: agent-business-canvas Download link: https://github.com/harperreed/dotfiles/archive/main.zip#agent-business-canvas Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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