Eric and Neil break down how Eric cut his AI token spend from around $7,500 a month to nearly $0 by changing his model hierarchy, fixing fallback issues, and reducing unnecessary API usage.They also get into why usage-based AI pricing is changing software, why some tools become more valuable in an agent-driven world, and what founders, marketers, and agencies need to understand as AI costs shift from seat-based pricing to usage-based pricing.Key takeaways◾ You can dramatically reduce AI token spend by fixing model hierarchy and fallback logic.◾ AI costs need to be actively monitored because broken workflows can quietly burn cash.◾ Usage-based pricing is becoming a bigger part of software economics.◾ Some tools get more valuable in an agent-first world, while others matter less.◾ Agencies that help companies become AI-readable may have a major opportunity.Chapters((((((