How to coordinate Claude, GPT, and Gemini in one workflow

You coordinate Claude, GPT, and Gemini by treating them as a team, not three interchangeable chat boxes. Route each part of a task to the model that handles it best, pass the output from one to the next, and keep a single shared context so they build on each other instead of starting cold every time. That is all "multi-agent orchestration" really means — and you can do a lot of it by hand before you need a tool for it.

What orchestration actually means

Orchestration is just deciding which model does what, in what order, with what context. One model drafts, another critiques, a third formats. Or three answer the same question and you keep the best. The models don't talk to each other on their own — something in the middle (a script, a workflow, or a tool) moves the work between them and holds the shared state. That "something in the middle" is the orchestrator.

Why route a task across models at all

• Different strengths — models are genuinely better and worse at different things; routing the sub-task to the right one beats forcing one model to do everything.
• Cross-checking — a second model reviewing the first's output catches mistakes a single pass misses.
• Cost and latency — send the cheap, high-volume steps to a smaller model and reserve the expensive one for the hard part.
• Resilience — if one provider is down or rate-limited, the workflow can fall back to another instead of stopping.

Patterns that actually work

• Pipeline — model A drafts, model B revises, model C formats. Each step's output is the next step's input. Simple and predictable.
• Parallel-and-pick — ask several models the same thing at once, then choose or merge. Good when correctness matters more than cost.
• Router — a cheap model reads the request first and decides which specialist model should handle it. Saves money at scale.
• Critic — one model produces, another is prompted only to find what's wrong. The adversarial second pass is where a lot of quality comes from.

Where Jerico fits

Doing this by hand means a lot of tab-switching and copy-pasting context between tools. That coordination layer — many models in one workspace, shared context, agents running together — is exactly what Jerico (Appnova's multi-agent orchestrator) is built to handle. You can absolutely start by wiring these patterns up yourself; when the manual juggling becomes the bottleneck, that's the point a tool earns its place.