Bryan Rothwell

Writing

Primary-source dispatches on AI monetization.

Specific patterns, numbers, and decision frameworks from production usage-based pricing systems. No "5 lessons" or recycled best-practices. The newsletter is LLM Lane.

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Sizing free monthly credit allocations for AI products

The framework for picking how many AI credits to include per paid seat, the trade-offs we weighed, and what we'd reconsider.

Coming soon

Three credit-cap UX patterns (and which ones break)

How customers actually experience cap thresholds, where the warning timing falls down, and the specific failure modes nobody designs for.

Coming soon

When committed-spend pricing actually works

Lessons from designing a committed-spend pricing model at scale. The commit-to-discount curve, the buying motion it requires, and when subscription-only is the right answer.

Coming soon

Stripe Billing vs Orb vs Metronome vs build-yourself

The decision tree for picking your AI billing infrastructure at Series A, B, and C. What each tool is actually good at, and where they break.

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New posts on AI monetization patterns, roughly one per week. No motivational content, no career advice. Just patterns from production systems.

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