AI economy modeling and simulation software
Model the flows where AI agents spend budgets, queue for shared capacity and trade cost against value, as a diagram you can Play, forecast and discuss with your team.
Teams that model with Machinations
Model, simulate and optimize how agents use resources, interact and create value.
What you can do with it
Model how agents use resources
Describe an economy in plain language and AI helps turn it into a visual model you can Play, inspect and forecast.
Give your model agents
Define personas with weighted traits and the assets they want, then choose the nodes they can fire.
Play it, then forecast many futures
Play a model step by step, then forecast many futures and compare the outcomes.
Keep human judgment in the loop
Record where inputs come from and check the ones that matter against observed data before a model guides a decision.
Play a live example: agents sharing one context window
Several AI agents work from one shared context window. Every update they write takes up tokens, and a crowded window slows the work down. Press Play, then move the Context Pruning Rate or Role Specialization Efficiency Lever to see how many Completed Tasks the team finishes.
The numbers are illustrative values chosen for teaching, so a Play shows how the system behaves, not what will happen.
Learn from playable economy models
The Economic Zeitgeist library explains how AI economies behave: token budgets, caches, agent coordination and compute. Each model is a diagram you can Play, with a plain explanation of what it shows, what it assumes and where the idea comes from. The numbers are illustrative values chosen for teaching, so a Play shows how a system behaves, not what will happen.
To build your own agents, read how agents work in a diagram, or start from a learning path.
Give your AI agents an economy that holds
Model tokens, compute and shared budgets, Play the agents against each other and Forecast where the spend goes.
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