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
(00:00) How Eric cut his $7,500 AI token spend
(03:25) Why usage-based AI pricing is going up
(05:08) Why some software matters less in an agent world
(08:11) ClickFlow ad break
(12:29) Why AI-readable brands matter more
(17:19) What this means for agencies and founders
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