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Unleash Sakana Fugu Ultra: The ultimate parallel AI workflow strategy.

Julian Goldie Agency25 June 2026Watch on YouTube

Part of series

Ep. 4 · Fugu Ultra Multi-Agent

Hoe Sakana.ai's Fugu Ultra parallelle multi-agent workflows mogelijk maakt in de praktijk.

View the series

What you'll learn

  • Sakana Fugu Ultra, Fusion and the Claude CLI can run in parallel inside the Agently operating system without limits on time or tokens.
  • Beside Sakana and Fusion, workflows such as Paperclip and Agent Mastermind sit ready in the pipeline.
  • With parallel models you should expect slower output and answers that sometimes get truncated.
  • The robust setup is to run several models at once, so another one keeps working if something breaks.

Frequently asked questions

Which AI models does Julian Goldie combine in his Agently setup?
He runs Sakana Fugu Ultra, Fusion and the Claude CLI side by side inside the Agently operating system, with Paperclip and Agent Mastermind as workflows in the pipeline.
What does Goldie say is the advantage of several models at once?
Multiple agents can run in parallel without being blocked, because there is no constraint on time or tokens. When one model fails, another keeps working in the background.
Which drawbacks does Goldie mention of the parallel approach?
He advises expecting slower output and answers that sometimes get truncated, which makes the results less good than when you use Claude directly.

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Description from the channel

Sakana Fugu Ultra changes the game by utilizing a multi-agent panel API that runs prompts across several models simultaneously. By integrating these agents into an agentic operating system alongside tools like Fusion, users can avoid bottlenecks and eliminate time constraints. While parallel processing allows for complex building, be prepared for occasional slower outputs or truncated answers compared to single-model use. This approach offers a robust safety net; if one agent breaks, others continue working in the background. #SakanaAI #FuguUltra #AIWorkflow #MultiAgentSystems #GenerativeAI