What Happens When Your LLM Can Actually Use Tools

Imagine your AI assistant can:

• Search the web for real-time info
• Run code to analyze data
• Call APIs to book flights, order food, send emails
• Execute complex workflows autonomously

That is what tool-use enables. And it changes everything.

From Assistant to Agent

Without tools, an AI is just a fancy text predictor. With tools, it becomes an agent that can act in the world.

The Practical Impact

With tool-use capability, AI can:

• Automate workflows: Bookkeeping, reporting, data entry
• Reason with real data: Pull live metrics, not stale training data
• Take action: Not just suggest, but do

The Training Gap

Most consumer LLMs cannot do this well. They were never trained on tool-use data. We are fixing that with open datasets.

Join the Movement

Help us build the training data that makes this possible for everyone.