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README
Agent Era Pricing Skill
Seat pricing quietly assumed the user was a human who logs in. Agents break the assumption from both sides: your customers need fewer seats (one operator, ten agents), and your product gets more usage than ever. This skill redesigns the model around a value metric that survives non-human users β without torching existing revenue on the way.
What This Skill Produces
- A value-metric decision: what you charge for when seats stop proxying value
- Agent-tier design: how agent/API usage is packaged, fenced, and priced
- Cannibalisation math: what happens to current revenue under the new model, computed on real cohorts
- A phased migration plan for existing customers, with the grandfathering decision made explicitly
This is the opening of the README. Read the full README on GitHub.