Most AI today can tell you what to do.
But it can’t actually do it.
That’s the gap @ActionModelAI is fixed.
Current AI Large Language Memory(LLMs) are trained on text.
They can:
• explain
• suggest
• generate
But they can’t use apps, click buttons, or complete tasks.
That’s a serious limitation.
Because most real work happens inside software:
• filling forms
• sending emails
• updating dashboards
• navigating tools
AI couldn’t do that… until now.
@ActionModelAI introduces something new:
Large Action Models (LAMs)
Instead of just generating text, they:
• see your screen
• decide what to do
• take action (click, type, navigate)
• repeat until the task is done
In simple terms:
LLM → “Here’s how to do it”
LAM → “I’ll do it for you”
That’s the shift.
And it works like a loop:
• observe the screen
• decide next step
• act
• verify
• repeat
Until the job is complete.
But there’s another layer most people miss:
Ownership.
Today:
You give data → companies profited from it → you get nothing
ActionModelAI flips that.
It’s community-owned AI.
• You train it
• You contribute workflows
• You earn $LAM
• You own part of the system
So the real problem it solves is twofold:
• AI that can’t execute
• AI systems that don’t reward contributors
ActionModelAI tackles both:
✓ AI that acts
✓ AI that’s owned by the people using it
That’s why it matters.
Facts can be harsh, but context matters...
President Tinubu never promised an immediate, effortless paradise; instead, he made it clear during his campaign that difficult structural reforms would be required to rescue the economy.
Forward-thinking Nigerians understand that the current financial pains are necessary adjustments to dismantle decades of unsustainable subsidies and corruption, laying the groundwork for a more durable, self-reliant nation.
Impersonating an official platform by sharing fabricated graphics and duplicating its logo is criminal. A supposed journalist should know this.
I hope you will reflect on Mr President's Democracy Day message, where he implored the critics and umpire of pro-humanity never to stop believing in Nigeria, even in times of disagreement.
Stop deluding your audience. Let objective journalism lead your output instead of misleading propaganda.
AI is moving from simply understanding information to interacting with the digital world.
But for that to happen, AI needs more than a model. It needs a system.
That’s the foundation of @ActionModelAI
A system built around three connected pillars: learning from human interactions, executing tasks through AI, and creating an economy around participation.
➠ 𝐓𝐇𝐄 𝐁𝐑𝐎𝐖𝐒𝐄𝐑 𝐄𝐗𝐓𝐄𝐍𝐒𝐈𝐎𝐍: Where Learning Begins
The extension captures real web interactions and workflows, helping train the LAM to understand how people navigate digital environments.
Over time, these interactions contribute to the Action Tree, a growing map of how tasks are completed.
➠ 𝐓𝐇𝐄 𝐀𝐂𝐓𝐈𝐎𝐍𝐈𝐒𝐓 𝐃𝐄𝐒𝐊𝐓𝐎𝐏 𝐀𝐏𝐏: Where AI Takes Action
The Actionist brings the LAM into your computer.
Instead of only responding, it can interact with software; understanding screens, navigating applications, and completing tasks step by step.
➠ 𝐓𝐇𝐄 $LAM 𝐓𝐎𝐊𝐄𝐍: Connecting the Ecosystem
The token layer connects the people contributing data, the AI performing actions, and the network itself.
It supports training rewards, powers actions, enables governance, and aligns incentives.
Learning → Execution → Economy.
This is what turns Action Model into a system, not just a model.
Platforms have been lied to about what user acquisition actually means.
A click does not equal a user.
An impression is not engagement.
And a signup that never touches your product is definitely not a customer.
Yet billions get spent on exactly this every year.
🧵
How fast can you actually earn from training AI? 🤖
A tutorial series on @ActionModelAI🔥
Today’s session: https://t.co/MwPArWFsk0
92,598 LAM points generated in just 22 mins
💥 New to Action Model?
Download the extension and start training AI for rewards.
https://t.co/l2ETP6oH64
CODE : BRAGG