Action-oriented LLM Datasets (tool Use + Workflows + Decision Logic)

Most datasets rely on logs or real user data — which makes them messy, inconsistent, and hard to use due to privacy constraints.

What we’re doing differently:

• fully synthetic, controllable data
• structured as state → decision → action → outcome
• built for tool use + multi-step workflows, not just text

So instead of cleaning logs, you can generate clean, privacy-safe datasets aligned to how your systems actually behave.

Curious if others are moving toward synthetic + behavior-driven datasets for agents?