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Sakana AI: one unified model for everything you build
Best product for this task
Sakana Fugu is a research-driven multi-agent orchestration model that coordinates multiple LLMs through one API to solve complex, multi-step tasks. It learns how to route, sequence, and verify work across expert agents for higher-quality coding, reasoning, and knowledge workflows while honoring data and compliance constraints.
What to expect from an ideal product
- Sakana Fugu sits between your request and a pool of specialized LLMs, figuring out which model is best suited for each piece of the task rather than forcing one model to handle everything
- It breaks complex multi-step work into smaller chunks and sends each chunk to the right expert agent, then stitches the results back together through a single API call on your end
- Built-in verification steps check the output from each agent before passing it downstream, so errors get caught mid-workflow instead of quietly snowballing into a broken final result
- The routing logic accounts for data privacy and compliance rules, meaning sensitive workloads can be steered toward approved models without you having to manually manage that every time
- Over time the orchestration layer learns which routing and sequencing patterns actually produce better results for coding, reasoning, and knowledge tasks, so the workflow gets sharper without you rebuilding it from scratch
