➤ What is ActionFi and HOW TO GET STARTED ON @ActionModelAI Most Web3 projects that pay people right now are built around ATTENTION Scroll, you get points Like or retweet, you get points Reply guy, you get points Watch video, you get points Refer friends, you get points This is basically SocialFi/InfoFi/ attention farming The problem? A huge amount of that activity is fake, bots, multi accounts, click farms, low effort farming Projects end up paying mostly for noise instead of real value ActionFi changes the question Instead of rewarding attention, it rewards verified onchain execution, real usage and real work inside apps and protocols Examples of actions that can earn in ActionFi style 1. Actually complete an onboarding flow, not just connect wallet and leave 2. Execute a real swap/trade/ borrow/lend on a DeFi protocol 3. Deploy a smart contract from a frontend 4. Configure and save a dashboard/portfolio tracker 4. Bridge tokens between chains correctly 5. Mint/list/bid in an NFT marketplace the proper way So the core idea is: Do something useful → prove you really did it → get paid in tokens/ points onchain No impressions, no likes, no views Just provable execution How do you prove you really did it, this is where most projects fail This is the hard part If you just ask people to screenshot or self report, everyone cheats If you use APIs, many protocols don’t have good APIs, and sybils still find ways around it ActionFi solves this with AI verification instead of APIs or screenshots A smart system watches what you actually do in the browser: - Which buttons you clicked - What you typed - Which pages you visited - In which order - How long it took - Whether you completed the real task It uses zero-knowledge style proofs + AI pattern matching to say: Yes, this human really performed a correct swap/deployment/onboarding This was not scripted, not farmed, not faked Once verified → the action is minted as an onchain credential or verifiable execution record and you get rewarded So who is building this? That’s where @ActionModelAI comes in @ActionModelAI is creating the Large Action Model (LAM), basically the action version of what large language models (LLMs) are for text Think of it this way LLMs learned to understand and generate text by reading almost the entire internet Large Action Models learn to understand and perform actions by watching millions of real browser sessions They do this mainly through -People installing a browser extension -Doing real tasks while the extension records anonymized interaction data -The model learns how humans actually use dApps, wallets, bridges, DEXes, NFT platforms, etc Let’s talk about THE WEB3 OWNERSHIP AND INCENTIVES Here’s what makes it very crypto native: The people who help train the model by doing real actions + letting the extension watch earn ownership in the network They accumulate LAM points and these points are expected to convert into $LAM tokens at TGE, which means you own a piece of - The action verification layer - The future agent infrastructure - The reward layer that sits on top of many protocols You get rewarded for being an early contributor who actually use and teach the system, instead of just early VCs or liquidity farmers Simple summary ActionFi implies paying users for real, AI verified usage of Web3 products instead of attention farming @ActionModelAI is building the Large Action Model LAM that verifies those actions + learns to do them and giving early real users ownership via points → future $LAM tokens It’s trying to move Web3 rewards from who can fake attention best to who can create & prove real onchain execution Here's exactly how to start Sign up for early access Go here: join.actionmodel.com/FREETOWNXO - Use your email - Create your account - Download the extension and get 10000 LAM points - Enter the extension and start training the AI now, you