Trainer

What is Trainer?

Trainer is a product for recording a task once and using that screen recording to train an agent to repeat the same workflow. According to the source, it captures clicks, keystrokes, and intent, so the resulting agent can learn from a demonstration rather than from prompts or labeled data.

The product is aimed at users who want to turn a manual process into a repeatable agent workflow. Its core purpose is to reduce the need to describe tasks step by step in text and instead let the computer observe the task directly.

Key Features

• Screen-recorded task capture: Trainer records a task as it is performed on screen, giving the agent a direct example of the workflow.
• Click and keystroke capture: It records interaction details such as clicks and keystrokes, not just the visual sequence, so the task can be replayed more precisely.
• Intent capture: The product says it captures intent as part of the recording, helping the agent learn the purpose behind the actions rather than only the surface steps.
• Agent training from demonstration: A recorded task is used to train an agent that can repeat the task later, making the workflow reusable.
• No prompts or labeled data required: The source explicitly says the training process does not rely on prompts or labeled data, which lowers the setup burden for demonstration-based workflows.

How to Use Trainer

A typical workflow would be to open Trainer, perform the task once while it records your screen, and then use that recording to train an agent. After the recording is captured, the agent can be run again to repeat the task.

Use Cases

• Repeating a routine browser or desktop workflow that is easier to show than to describe.
• Training an agent on an internal process where the operator already knows the exact steps.
• Converting a one-off manual task into a reusable demonstration for future runs.
• Capturing tasks with multiple interactions, where clicks and keystrokes matter to the outcome.
• Prototyping agent behavior without preparing prompts or labeled examples first.

FAQ

What does Trainer record? Trainer says it captures clicks, keystrokes, and intent during a task recording.

Do I need prompts or labeled data to use it? No. The source states that Trainer trains an agent without prompts or labeled data.

What is the basic workflow? Record a task once, then use that recording to train an agent that can repeat it.

Is Trainer meant for one specific industry? The source does not specify an industry, so it appears to be a general task-recording and agent-training tool rather than a vertical-specific product.

Alternatives

• Manual RPA tools: Traditional robotic process automation often relies on predefined rules or scripts rather than a single screen-recorded demonstration.
• Prompt-based AI agents: These systems are directed through text instructions instead of learning from a recorded task.
• No-code automation builders: These tools usually assemble workflows through visual steps and triggers, while Trainer emphasizes recording an existing task first.
• Screen-recording documentation tools: These can capture a process for reference, but they are typically for documentation rather than training an agent to repeat the task.