Oct 10, 2025
What Are Action Models (actionmodel & actionmodels)? A Complete Beginner’s Guide
Discover action models (also called actionmodel or actionmodels): AI systems that don’t just advise but take real actions. Learn how they work, their types, benefits, and how to get involved in building the future of automation.
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What Are Action Models: A Complete Beginner’s Guide
AI is moving fast. Faster than most of us can keep up. One day it was just answering trivia questions in chatbots, the next it was generating art, and now? It’s starting to take actions.
That’s where action models come in.
If you’ve only heard of LLMs (Large Language Models) like ChatGPT, Claude, or Gemini, buckle up - because action models are the next evolutionary step. Instead of just talking, they do things. They don’t just explain how to book a flight, they actually book it for you. They don’t just tell you how to write a tweet, they can log in, write it, and publish it.
This guide breaks down what action models are, how they’re different from LLMs, the main types of actionmodels, and why they’re shaping the future of work, business, and automation.
By the end, you’ll not only understand the concept, but also see how you can get involved in this revolution today.
What Are ActionModels?
Let’s start with the basics.
An actionmodel is a type of AI designed not just to understand text or images, but to interact with digital environments in real time. Instead of just responding with text, it takes the next step: clicking, scrolling, typing, navigating apps, and even executing workflows across platforms.
In simple terms:
LLM = Advisor → “Here’s how you could do it.”
ActionModel = Assistant → “I’ll go do it for you.”
Imagine telling an actionmodel:
“Find the three cheapest hotels in Lisbon, book the best one with free cancellation, add the reservation to my Google Calendar, and email me the confirmation.”
A language model would give you advice. An action model would go do every single step.
That’s the difference, and why this shift is so important.
The Difference Between LLM and LAM
So, what separates these two AI categories?
Feature | LLM (Large Language Model) | LAM (Large Action Model) |
Core Ability | Generates text, code, or images | Executes tasks and workflows |
Interface | Chat windows, prompts | Direct GUI interaction |
Use Case | Explain, summarize, create content | Book flights, run automations, manage workflows |
Limitation | Can’t act in the real world | Acts directly in apps, browsers, devices |
Example | “Here’s how to draft an email” | Actually drafts & sends the email |
Actionmodels extend the power of LLMs by pairing language understanding with action execution. Think of them as the hands and feet of AI, not just the mouth.
This leap solves one of the biggest gaps in AI today: LLMs can describe the theory of an action, but they can’t perform it. LAMs, like the one we’re building here at ActionModel, bridges that gap.
If you want a deeper dive on the difference between the two, check out our article here.
Types of Action Models
Not all automation models are the same. Depending on their design and purpose, we can break them into a few broad categories:
Software-Based
Goal-Oriented Task Execution Models
Rather than just completing one step at a time, these models aim to see the finish line and orchestrate all the actions required to get there. For example:
Turning the command “prepare a new hire for day one” into a workflow that sends the contract, sets up accounts, books training sessions, and emails a welcome note.
Handling the full sequence from “publish the monthly report” to collecting data, formatting charts, drafting commentary, and distributing it to stakeholders.
Replanning mid-way if something changes, such as a meeting rescheduling or a missing data source.
They function as digital project managers, keeping tasks on track until the end goal is met.
UI Flow Data Action Models
Some models learn directly from user interactions with software - clicks, scrolls, and form submissions - to become more effective. For example:
Watching how a sales rep updates CRM entries, then learning to replicate the flow automatically.
Observing how an accountant processes invoices in an ERP system, then repeating the steps without needing a human.
Tracking how support agents resolve tickets, then scaling the same process across thousands of cases.
They behave like digital apprentices, watching and then doing - but at machine speed and scale.
Neuro-Symbolic Action Models
These models combine the pattern recognition strengths of neural networks with the structured logic of symbolic reasoning. For example:
Parsing a contract with an LLM, then applying formal business rules to decide whether to approve or escalate it.
Understanding a user’s vague request, then breaking it into symbolic steps that guarantee consistency and compliance.
Learning from unstructured data, while still reasoning with clear “if-this-then-that” logic.
They act like digital analysts that can both spot patterns and follow rules.
Web Automation Action Models
These specialize in navigating websites. For example:
Logging into multiple platforms
Extracting data (like competitor pricing)
Running lead generation on LinkedIn
Posting to multiple social media accounts at once
They operate autonomously to streamline repetitive online work.
ActionModel is using all of these techniques to build the world’s first large action model. To find out more about Action Model head to our documentation.
Hardware/Hybrid
Robotics & IoT Action Models
Some action models go beyond software. Paired with hardware, they can:
Control smart devices throughout the home with a single natural-language command.
Execute compound requests like “dim the dining lights and play music” in one action.
Interpret vague commands such as “get me a healthy snack” and translate them into multi-step robotic tasks.
Patrol the house, check appliances, and prepare a home environment for guests through linked routines.
These models extend digital intelligence into the physical world, bridging AI and everyday life.
Community-Owned
Community-Owned ActionModels
This is where things get radical. Instead of being locked inside Big Tech companies, community-owned action models are trained by real users who also earn rewards for contributing data and workflows. ActionModel is pioneering this, rewarding contributors in $LAM tokens for helping build the ecosystem.
Why ActionModels Matter
Here’s why actionmodels are more than a buzzword:
They scale human work.
Instead of hiring 10 assistants, you can spin up 10 digital agents that never sleep.They democratize AI.
Most AI today is controlled by Google, Microsoft, and OpenAI. Actionmodels open the door for community ownership.They create new economies.
Workflows, agents, and automations become digital products you can sell in marketplaces.They fight back against Big Tech.
Right now, your clicks and searches train Big Tech’s AI for free. With projects such as ActionModel, you train AI and earn tokens in return.They’re the next big step.
If LLMs disrupted content creation, action models will disrupt work itself, from sales to HR to operations.
Real-World Examples of ActionModels
To make this more concrete, here are some automation models in practice today:
Community-Owned Automation Ecosystem
An Action Model that learns from everyday user actions to automate digital tasks across the internet - rewarding the people who train it with $LAM tokens.
Example: Action Model’s decentralized LAM
Autonomous Fleet Dispatch
A logistics Action Model that assigns delivery drivers, reroutes based on traffic data, and updates customers in real-time.
Example: UPS/DHL dynamic routing systems
Smart Manufacturing Orchestrator
Monitors IoT sensors on a factory line, adjusts machine calibration, orders replacement parts automatically when wear is detected.
Example: Siemens industrial automation
Financial Reconciliation Bot
Automatically matches invoices to payments, flags anomalies, and books entries in the accounting system.
Example: ERP-integrated finance automation used by large enterprises
Energy Grid Balancer
Adjusts power distribution in response to supply/demand, turns industrial loads on/off, and allocates renewable energy to storage automatically.
Healthcare Intake Automation
Collects patient symptoms, books an appointment, orders initial lab tests, and updates electronic health records (EHR).
Example: Epic + scheduling systems automation
Retail Dynamic Pricing Engine
Continuously scans competitors, adjusts product pricing, and updates ecommerce storefronts instantly.
Example: Amazon pricing automation
Legal Document Workflow Agent
Drafts NDAs/contracts, routes them for e-signature, stores them in the contract management system, and sets renewal reminders.
Example: DocuSign + CLM tools automation
Each of these executes tasks that once demanded constant human oversight, now handled automatically with speed and consistency
ActionModel vs. Big Tech
One of the biggest debates in AI right now is who owns the future.
Big Tech’s path: Centralized AI where your data trains their models, and you get nothing.
ActionModel’s path: Decentralized AI where the community trains, owns, and profits from the model.
This isn’t just a tech question - it’s about power, ownership, and economics.
If action models really will replace millions of jobs by 2030, the question is: do we let corporations own them, or do we build and own them ourselves?
How to Get Involved in Action Models
You don’t need to be a coder or AI researcher. Here are some ways everyday people are already joining in:
Train the AI while browsing: Install a browser extension that records your clicks and interactions, rewarding you with tokens.
Build workflows: Record common tasks once, and publish them for others to use in a marketplace.
License agents: Package workflows into full digital employees and rent them to businesses.
Earn from referrals: Share ActionModel with others and earn from their contributions.
Bounty hunting: Target high-value platforms (like AWS, Salesforce, Stripe) with multipliers up to 100x.
These aren’t abstract ideas - they’re real, practical ways people are already engaging
The Future of Action Models
Action models are still in their early days, but the trajectory is clear:
Short term (1–2 years): Web automation, workflow marketplaces, and community training expand rapidly.
Medium term (3–5 years): Enterprises adopt models for HR, finance, and operations at scale.
Long term (5–10 years): One global action model capable of automating nearly any digital task, built on millions of contributors’ data.
The internet of actions is coming. Just like the internet of information changed everything in the 90s, action models will redefine how work gets done.
Final Thoughts
If you remember one thing from this guide, let it be this:
LLMs talk. Action models do. And actions always speak louder than words.
That simple shift - from information to action - changes everything. It reshapes jobs, businesses, and even ownership structures in AI.
Actionmodels aren’t science fiction. They’re here, they’re growing fast, and they’re giving everyday people a chance to participate in building the future instead of being left behind.
The real question isn’t just what are action models - it’s whether you’re going to use them, or take part in building and owning them.
