Successful features get expensive
The demos are cheap. Production usage after marketing turns the feature on is where invoices hurt.
Levers that actually work
- Cache identical or near-identical prompts (embeddings help)
- Model tiers — small model for classify/route, larger for hard generation
- Token budgets per user/org/day with clear UX when exceeded
- Shorter context — retrieve less, summarize stored history
- Batch offline jobs instead of interactive calls when latency allows
Product limits are features
“10 AI summaries / day on Pro” is clearer than a surprise overage. Align packaging with real unit economics.
Observe from day one
Track cost per successful action, not only total tokens. That metric tells you which screens are worth optimizing.
Rayaxis designs AI features with a cost story attached — so clients can keep them on.