LAM
Playground
& Teachmode
Two Different Ways
Using AI to perform tasks
LAM supported app & services
Large Action Model
or Teachmode
Purpose
LAM
Enables AI-powered automation to interact with websites and digital platforms.
Teachmode
Allows users to teach AI how to perform tasks by demonstration.
Learning Capability
LAM
Adapts and improves interactions based on real-time user behavior.
Teachmode
Observes, learns, and replicates user actions without coding.
Performance
LAM
Fast execution with seamless AI-driven actions across various web interfaces.
Teachmode
Highly adaptable with structured task execution for accuracy.
Use Cases
LAM
Automating website navigation, completing tasks online, and enhancing digital workflows.
Teachmode
Custom task automation, personalized AI agents, and hands-free digital assistance.
Teachmode
Personalized Task
Show LAM how to complete tasks—no coding needed.
AI adapts by observing and replicating user actions.
Adaptive Learning
Higher success rates through structured demonstrations.
Teachmode is an innovative feature that enables users to create personalized AI agents by demonstrating tasks. This approach allows the AI to learn from user examples, automating actions across various digital interfaces without requiring coding skills.
Reliable Automation
Hands-On Experimentation
LAM Playground
Universal Access
Continuous Learning
Interact with any website using LAM’s AI capabilities.
Test and refine AI interactions in a sandbox environment.
Expanding beyond websites to mobile and desktop apps.
LAM Playground is an experimental agent system designed to help users perform tasks on websites using AI. It represents Rabbit's next step towards creating a cross-platform general AI agent system capable of interacting with any website.
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