PTENES
COURSE · MULTI-LLM ORCHESTRATION

🐟 Orchestrated LLMs

The new way to run multiple AI models together: a conductor decides who does each part and how to combine them. From concept to Fugu Ultra and to OpenRouter Fusion — with real numbers showing when it's worthwhile.

Conductor decomposes + routes model model model model Model … Result merged

The orchestration pattern: a conductor divides the work among several Models and merges the responses into one result. That's what Fugu does within a single API.

Your course progress 0%
0 of 0 topics
Start with Track 1 →

What you’ll learn

For a long time, the choice was simple: you picked one AI model and hoped it could handle it. The “new approach” turns that around—instead of betting on just one, you put multiple models working together, coordinated by a conductor who decides who does what and how to combine the answers. This is called orchestration of multiple LLMs.

This course takes you from concept up to two real products that deliver this idea out of the box — Sakana Fugu Ultra (which hides a team of models behind a single API) and OpenRouter Fusion (which asks several models at once and merges the results)—and ends with the question that matters most: when it’s worth the cost, and when one strong model is enough.

💡 The idea in one sentence

Orchestrating means answering two questions: who does each part of the work, and how the responses combine Into a single result. Everything in this course is a variation on these two questions.

How the course is organized

1

Fundamentals

What orchestration means, the 2 questions, and the spectrum from "you wire everything together by hand" to "a trained model orchestrates everything for you".

2

Fugu Ultra

The maestro that breaks tasks down and delegates. How it works under the hood and the verdict from 38 tests: 36 ties, 4.5× slower, 5× more expensive than a single model.

3

OpenRouter Fusion

The other pattern: the same prompt goes to N models in parallel, and one judge combines their answers. When parallel-and-combine wins, and the skill for optimizing cost × quality.

The tracks