JTAO

Hydra AI

Hydra AI is a new way to build AI. Instead of one giant model trying to do everything, Hydra AI runs many models together, like the heads of a hydra. For each of hundreds of kinds of request, from coding to writing to research to advice, it keeps a playbook: which models to use, how to combine them, and how to check the result. Code is run and tested, apps are opened and clicked through, and facts are checked against their sources. Every mistake becomes a proposed fix, and a fix goes live only when it beats the old playbook in head-to-head testing. So Hydra AI keeps getting better without retraining a model.

Lucy

Lucy is the first frontier-level model built with the Hydra AI method, and it's powered by Bittensor.

Try Lucy →

Lucy vs a leading open frontier model, same graders

Same graders for both.

BenchmarkLucyOpen frontier model
Instruction following (IFEval)94.0%91.5%
Live coding problems solved (LiveCodeBench, of 175)157141
Real GitHub bug fixes solved (SWE-bench Verified, of 500)427408

IFEval and SWE-bench Verified were run on Oct 19, 2026; LiveCodeBench on Oct 20, 2026. Both models were run on the same harness and graded with the same grader. Lucy routes each request across several models: in the SWE-bench Verified run about 91% of Lucy's model calls were served by DeepSeek V4.1 Flash and about 8% by Kimi K3.

Full benchmark comparison: tao1.ai/about