Sakana Fugu Ships a Ready-to-Use Council of Experts System

Picture the moment a founder pastes a signed vendor contract into ChatGPT and asks for a risk review. One model, one pass, one opinion. If it misses a liability clause on page 14, nothing in the interface says so. You get confident prose either way.

That single-model blind spot gets expensive once AI output feeds real decisions: a positioning memo the board reads, a code change shipping to production, a security review before a client audit. Different frontier models catch different mistakes. Relying on just one is a bet made without realizing it was placed.

Two products launched this year fix that by putting multiple models on the same task and forcing them to check each other's work. One costs real money and zero setup. The other costs almost nothing and an afternoon of setup. Here is exactly how each one works, with the numbers that decide which fits your team.

What "Orchestration" Actually Means

Orchestration, in plain terms, means one system decides which AI models get involved in a task, what job each one does, and how their answers combine into a single final response. Think of a hiring manager who does not do the work personally, but knows exactly which specialist to call for each piece and how to merge the results.

Sakana AI, a Tokyo-based lab, launched a product built around this idea on June 22, 2026, called Fugu, named for the Japanese pufferfish that a licensed chef checks for toxin before it reaches the plate. The pitch: one system that checks the work before you see it.

Here is what separates Fugu from a router that just picks "GPT for coding, Claude for writing." A router follows rules a human wrote in advance. Fugu is a conductor model: software trained to decide which other AI models work on a task and in what order, the way an orchestra conductor decides which section plays and when, without playing an instrument itself. It learned, through training, which models to call, what role each plays, and how to merge their answers into one response.