Trainer

Trainer is an AI tool that lets you create automated agents by simply recording yourself performing a task on your computer. Instead of writing complex code or prompts, you hit record and complete the workflow as you normally would — clicking, typing, and navigating through applications. Trainer captures everything: your screen activity, mouse movements, keystrokes, and even voice narration. This recording then becomes the training data for an AI agent that can replicate your exact workflow.

The system works through a four-stage process. First, it records your session locally on your device. Then, its frame analyzer breaks down the recording into individual steps, identifying each action, target, and intent. Next, Trainer compiles these steps into a structured trace that serves as the agent's instructions. Finally, you deploy the agent using Trainer's SDK, and every time it runs, the system evaluates its performance against your original recording to improve future iterations.

This approach is particularly valuable for teams dealing with repetitive digital tasks across various domains. Customer support agents can train bots to handle common troubleshooting workflows, finance teams can automate reconciliation processes in accounting software, and healthcare administrators can streamline patient intake systems. Anyone who finds themselves performing the same multi-step computer task regularly could benefit from Trainer's record-and-automate approach.