❓FAQ
Frequently Asked Questions
1. How can someone create a robot?
Anyone using the platform can deploy a robot with just a few steps. When a robot is deployed, it automatically creates its own token.
Expandable commands: Robot commands can be updated at any time, allowing an infinite scope for new tasks.
Open-ended creation: Users can build anything, starting from the base robot provided by the platform.
Niche possibilities: Skilled developers can create specialized robots — for house-cleaning, temperature sensing, drone tracking, personal ID, and much more.
Additionally, users can simulate environment variables — the “context” the robot operates in.
Example: If a robot is told to grab an apple but no apples exist in the simulated environment, the command fails.
This makes the simulation realistic: the robot’s success depends on the context it’s placed in.
(Tutorial video will be provided here for a step-by-step guide.)
2. How is this different from AI agents?
Unlike typical AI agents, robots in this platform have bodies, physics, and context.
Robots experience collisions, spatial boundaries, and user-defined environment variables.
Task scope is as broad as real-world robotics — if it can be tested in real life, it can be tested here.
This forms a natural bridge to Digital Twins: real robots can be mirrored in the virtual world, enabling plug-and-play simulation.
By tokenizing this system, the platform adds ecosystem value:
Robot developers get rewarded for innovation.
Holders benefit from usage and growth of the network.
3. How does the token model work?
Every robot created on the platform is paired with its own token. This process turns each robot into a self-contained economy with measurable value and utility.
How It Works
When you deploy a robot, a unique token is automatically generated alongside it.
This token acts as the ownership and utility layer of the robot.
Benefits & Incentives
Ownership: Each token represents a stake in that robot’s success and adoption.
Earning Potential:
Robot creators earn from deployment fees and trading activity.
Holders benefit from the robot’s usage and growth.
Expansion Ready: As robots gain new commands, integrations, and features, their tokens naturally capture more value.
Ecosystem Growth: Every new robot (and its token) feeds into the larger platform economy, making the system increasingly diverse and valuable.
Why It Matters
Encourages continuous innovation from developers.
Rewards early supporters of promising robots.
Creates a bridge to Digital Twins, where real-world robots can be mirrored, tokenized, and traded in the virtual ecosystem.
(This section is still evolving — final details will be announced.) Technical caveats:
All robots come with natural language parsing and understanding since the beginning. Users are able to tell it what to do, without having to have coding knowledge, nor truly understanding command logic besides task scope
This means that commands aren't just executed in a terminal-like way, but they're interpreted by AI. This is the one and only similarity between robots and agents, since the language parser is, as expected, an agent.
User → AI agent interpreter → Robot Commands (preset+ user's ideas)
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