Understanding AI Token Economy
Han Che
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Understanding AI Token Economy
107 просмотров · 3 мес. назад
Han Che
24 подписчика
107 просмотров · 3 мес. назад
Presentation Link:
https://hancrafted.github.io/coaching...
AI Token Economy - Why you should treat AI as a Freelancer
Everyone's talking about what AI can do. Almost nobody's talking about what it costs — and that bill is now landing on your desk.
AI behaves like a brilliant freelancer with three strange flaws: it never asks questions, it has total amnesia between conversations, and it bills you for every word — with no visible meter. Managing that cost used to be a director's problem. Now every employee, and every leader who runs a team of them, owns a budget they never signed up to manage.
This is a 30-minute field guide to the AI token economy — the currency underneath every AI workflow, and the one thing almost nobody measures. It's built for everyone, not just engineers: the surface is accessible, the substance goes deep.
You'll learn:
• What a "token" actually is — and why the flat-fee mental model is costing you
• Why most AI tools are designed so you can't see the meter (and what real visibility looks like)
• How a single bug fix quietly balloons to ~55,000 tokens once an AI goes agentic
• The "smart zone vs. dumb zone" — why a model gets worse the fuller its context gets
• How to match the model to the task instead of overpaying for judgment you don't need
• The levers that cut waste — the ones you automate, and the ones your team just practices
The thesis in one line: the future doesn't belong to whoever produces the best outcome with AI. It belongs to whoever produces the best outcome per money spent.