The Open Dataset Every AI Developer Needs (And How to Contribute)

The Open Dataset Every AI Developer Needs What if the biggest bottleneck in AI agent development isn't compute or algorithms—it's simply data ? The Tool-Use Gap I've been thinking a lot about why consumer AI agents struggle with basic tasks. The answer keeps pointing back to the same issue: we don't have quality training data for tool-use behavior. Frontier models get this data through expensive RLHF pipelines. Open-weight models? They guess. And users suffer. What We're Building I'm building an open dataset specifically focused on teaching consumer LLMs to: Use tools reliably and verifiably Handle multi-step agentic workflows Recover gracefully from failures Maintain context across extended conversations Initial focus areas: Code execution (sandboxed environments, debugging) Web interaction (forms, navigation, extraction) API orchestration (REST/GraphQL, auth flows) File operations (read, write, transform) The 10K Trajectory Goal We're targeting 10,000+ high-quality tool-use trajector