Action Model AI Employees: Build Autonomous Workers That Earn While Others Use Them
Action Model turns you into an employer of AI: build autonomous workers with Actionist, sell them on the marketplace, and offer AI-employee deals to agencies and KOLs who pay you when they run.
There is a version of Action Model that most people farming its airdrop will completely miss. Under the points and the extension sits a business: the ability to build autonomous AI workers, publish them, and earn every single time someone else runs one. If agents are the next frontier, Action Model is one of the few places you can not just use one but employ a fleet - and get paid as the employer. For builders, KOLs, and agencies, this is the real opportunity.
Action Model is the brain - a Large Action Model that learns how software works. Actionist is the hands - the desktop app that performs the actions. Together they are a digital employee: you describe a task in plain language, no code, and it executes across real applications. It runs in two modes: Personal Assistant (drives your local machine) and Cloud VPC (a cloud VM working 24/7 without your computer on). Data entry, multi-platform workflows, scheduled automation, contextual memory that carries context between tasks - the boring digital labor, done by a worker that never sleeps.
This is the part that turns a tool into income:
- Build once, earn on every run. Publish a workflow to the marketplace and you earn a share of the tokens consumed each time it executes. Every action an AI takes burns $LAM as "fuel" - 33% of that goes to the creator of the workflow it ran. Popular automations become passive income.
- Sell AI employees as a service. KOLs and agencies have audiences and clients who need repetitive work done. You can package Actionist workers - lead handling, data entry, reporting, multi-platform posting - and offer them as a deal: your clients get an AI employee, and you earn from every workflow they run. It is agency work where the labor scales without hiring.
- Set up autonomous income streams. Build a genuinely useful worker, let others adopt it, and the usage pays you while you sleep. This is closer to shipping a product than farming a drop - and it stacks on top of the confirmed airdrop .
The agent economy is arriving, and most of it is still unbuilt. Action Model hands you the two hard parts for free - an AI that can actually operate software, and a marketplace that meters and pays for usage. What is missing is the imagination layer: the specific, valuable workers nobody has built yet. Reporting bots for a niche SaaS, onboarding flows for an agency's clients, research-and-summarize employees for KOLs, cross-posting workers for creators. Each is a product with a built-in payment rail. This is the same shape that rewarded early builders on Bankr and the Virtuals agent economy - a paying marketplace that arrived before the crowd did.
The gap-spotting is the rare skill; the building has scaffolding. Scope the smallest genuinely useful AI worker, ship it, and if the engineering outpaces you, Deployr can build it for you. Grow it into a real business - and go after grants and funding - through ceoism ; the playbook is Grants and VCs for web3 builders . If the whole agentic-AI space is new to you, start with the foundations at , the family's learning arm.
This is early: the marketplace, creator economics, and agent reliability are all still maturing, so builders here are betting on trajectory. Autonomous agents that operate real software need careful permissioning - understand exactly what a worker can touch before you let it run, and start with low-stakes tasks. And $LAM is pre-TGE, so creator earnings are denominated in a token whose value is unknown. Build for the product first; treat the token as upside.
How do I earn from building on Action Model?
Publish a workflow to the marketplace; you earn a 33% share of the $LAM consumed each time it runs. Build once, earn on every execution.
What can I actually build?
Autonomous workers for real digital labor - data entry, reporting, onboarding, multi-platform posting - using Actionist, no code required.
How do agencies and KOLs fit in?
They have clients and audiences who need work done. Package AI employees as a service, and earn from every workflow those clients run. Action Model even runs a private Creator Circle for content creators.
Do I need to code?
No. You describe tasks in natural language. For anything beyond that, Deployr can build it for you.
Related: Action Model airdrop guide , Developer airdrops and grants , and Physical AI: the builder frontier .
The people who get rich in the agent economy will be the ones who employ agents, not just use them. Build a worker, put it to work for others, and let the family carry the scaffolding.
Research, not financial advice. Web3 carries risk, do your own diligence.
Developer airdrops reward builders. Ship a real app and contract with Deployr, or cross over to ceoism, evolve into a founder, and go after grants and VC funding. Can't build it yourself? Deployr can build it for you.
New to web3, or want the bigger picture beyond airdrops? Explore web3wikis - how it works, why it matters, and what you can do with it.
Research, not financial advice. Some links are referral links.