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5/ No perfect prompts required. Just describe what you want — NEO handles the how. Less time prompting. More time building.

4/ Benchmarked on 75 Kaggle competitions:. 🏅 NEO medaled in 34.2% — setting a new state-of-the-art for autonomous ML. 🔥 Outperformed Microsoft’s RD Agent (22.4%) on the MLE Bench.

3/ It thinks before it codes. NEO breaks down your problem into subtasks. Then solves each one with structured reasoning. No random code. Just clean, explainable logic.

2/ Powered by a multi-agent system. Not a single brain doing it all—.but a team of specialized agents:.• One plans.• One codes.• One debugs.Working together like a real engineering team.

1/ Meet the first agentic ML engineer. NEO goes beyond code assistance. It understands your task, creates a plan, and delivers the full solution—start to finish. Like having a full-stack ML engineer, on demand.

This shouldn't be possible. @withneo delivered in hours what usually takes ML teams weeks. No prompts. No notebooks. Just outcomes. See why it’s game-changing →

Still betting on co-pilots as the future of ML?. You’re late. Autonomous agents like @withneo don’t just help — they do. From concept to production, zero human touch. This thread is a must-read 👇. →