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🦞 Claude's AI agent usage problem
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Install command
$ mrt install ai

**TL;DR** - Anthropic internal data shows significant usage problem with Claude agentic products - most users try once and do not return.
The 10-Second Pitch
- Agentic AI products have steep onboarding curve - first experience often bad because users do not know how to use them
- Retention problem is about product design, not capability - Claude can do tasks, but users do not know what to ask for
- Solution is better defaults, not better models
Setup in 3 Steps
1. If building AI agent product, invest heavily in onboarding - first 5 minutes determines retention
2. Use progressive disclosure - do not show all capabilities upfront, show what relevant to current task
3. Measure retention at 7-day and 30-day, not just activation
**Example Prompt:**
Design an onboarding flow for an AI coding agent teaching the user its capabilities through a real task.
Verdict
| Pros | Cons |
|---|
| Data honest and actionable | Anthropic has model quality to figure this out |
| Solution product-led, not model-led | Onboarding investment expensive and slow |
|---|
| Real problem across the industry | Users also learning not to trust AI products quickly |
AI agent usage problem is industry-wide. Companies that solve onboarding will win the agentic race.