Action Model

Most AI today is trained on your data without consent, and without compensation ❌

This is no longer an abstract concern. As reported by Fortune, European regulators are investigating whether Google gave itself privileged access to vast swaths of web content to fuel its AI services, while bypassing established rules around creator consent and opt-out.

What this reveals is a built-in imbalance in today’s AI economy: human actions and workflows are used to train powerful systems, yet ownership and economic value remain centralized.

That is the core imbalance Action Model is attacking. Not by shipping another AI interface or extracting more data, but by redesigning how AI is trained and who benefits from it.

Instead of relying on scraped content or opaque pipelines, Action Model is building a Large Action Model (LAM) trained on explicit, opt-in human actions. It is an AI that doesn’t just generate text, but actually takes real actions on a computer. It clicks buttons, types, scrolls, navigates applications, and completes workflows autonomously, just like a human 🧠

🪂 Because training is intentional and transparent, contribution and ownership are finally aligned. People know when they are training the system, can review what is recorded, and are rewarded with $LAM tokens in exchange of the intelligence they help create 💰💰💰

The economic upside is no longer platform-owned. It belongs to the contributors ⚡

You can contribute by letting the browser extension run in the background as you use the internet normally, allowing the system to learn from real workflows. For targeted contributions, ActionFi enables structured training on specific tasks, with higher rewards reflecting the added value.

Beyond training, contributors can build and publish reusable workflows. When others execute those workflows, the creator continues to earn $LAM tokens from real usage over time 💸