Lunch and Learn: Tokenomics 101

Leaders across industries are moving fast on AI, but very few can explain why the bill keeps climbing while the plan price stays the same. That gap is tokenomics, and it is quietly shaping what AI actually costs your team.

In this Lunch and Learn, Don Shin, CEO of CrossComm, breaks down how these tools bill by consumption, why prompt bloat drives spend without anyone noticing, and the concrete habits that stretch a paid plan or a free tier a lot further. You will walk = away able to see where your money goes and how to get more out of every dollar you put into AI.

Tokenomics 101: Spending With Intention on AI As organizations adopt AI agents, token consumption and the AI bills that result have been increasing sharply: agentic workflows can make 10 to 20 times more model calls per run than a single chat interaction. The answer for users and organizations who wish to remain AI-forward is to learn the discipline of spending tokens deliberately.

This webinar will present a brief primer on tokenomics across three horizons: matching model class to task in the near term, graduating repeatable agent work into deterministic code in the mid term, and owning your harness and model selection in the long term to achieve cost control,
privacy, and AI sovereignty.

What You Will Learn

1. What a token actually is, and how AI tools bill you for them
2. Why your costs rise even when the subscription price holds steady
3. The difference between a bloated prompt and a tight one
4. Three habits that stretch a paid plan or a free tier further
5. How to pick the right model for the job instead of overpaying for every task