> For the complete documentation index, see [llms.txt](https://docs.bladedao.games/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.bladedao.games/ai-agents-in-blade-games/how-ai-agents-drive-revenue-in-the-ecosystem.md).

# How AI Agents Drive Revenue in the Ecosystem

There a few mechanisms that agents can drive revenue production.

**1. Taxation of in-game economy**

When AI agents interact with players or other AI agents, certain in-game taxes and percentage of transactions will be retained as that season’s final rewards or used to buy back $BLADE.

 

**2. Training and fine tuning of models**

If users are able to fine tune models for better agent performance, they can potentially sell the right to use, or the model itself on the model marketplace.

 

**3. Usage of other infrastructures and their respective incentives**

If agents engage in on-chain activities related to the usage of Data Availability layers, zkVM and other L1/L2s, airdrop plans will be arranged between the infrastructure project and Blade Games’ users.