Choose the review depth for each multi-model task.
A zero-dependency Node toolkit with delegate, batched spec-fusion, and full author–cross-watch–judge lanes that connect to models through your own adapter.
How it works
The exact pipeline, end to end.
How it actually works
Exactly what it does — and when.
A routine extraction uses the delegate lane with one configured model. A riskier design decision uses the full author–cross-watch–judge lane. The team compares both outputs with its own acceptance checks because the extra roles can still miss errors and do not guarantee lower cost.
This vs the alternative
Why it's clearly worth it.
The shift it creates
- Every task receives the same expensive review path
- Model access is hardcoded into the workflow
- A demonstration is confused with measured quality
- Use a light delegate lane when extra review is unnecessary
- Compare multiple drafts through cross-watch and judge roles
- Run the deterministic demo before connecting a live provider
Use it to…
Real ways people put FUSION — Multi-LLM Fusion Engine to work.
Delegate one bounded task
Use the light lane with a configured model when a multi-draft review is not warranted.
Batch independent specifications
Share task context across static drafts and inspect each result.
Cross-review a difficult answer
Use author, cross-watch, and judge roles, then verify the final output yourself.
What's inside
Who it's for
Developers with several model accounts
need one adapter-based routing toolkit
Teams varying review depth
need separate delegate, batch, and full lanes
Evaluators
want to measure the workflow on their own tasks
Questions, answered
Ready to put FUSION — Multi-LLM Fusion Engine to work?
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