AI Orchestration · Free

The Router That Learns Which Model Wins

Every call lands on the model most likely to win it—and the router gets sharper with every real outcome it sees.

Download Free

1. See it

fusion · routing

GLM

Cursor

Kimi

DeepSeek

JUDGE

One fused answer

≥ your best single model

2. How it works

Route the task

Models draft in parallel

Cross-verify & fact-check

Strongest-model judge elevates

Deliver one fused answer

3. Why it wins

This product

One model alone

Models working

Several, cross-checking each other

One — a single point of failure

Hallucinations

Caught by cross-verify + a judge

Slip through unchecked

Marginal cost

$0 on memberships you already pay

Per-token API billing

Quality floor

≥ your best single model, by design

Whatever that one model gives

4. Use it to…

Auto-cut model spend

Send routine tasks to cheaper models and reserve premium endpoints only for the tasks where they measurably score higher, dropping cost per call.

Detect drift live

When a provider's output quality dips, the observe-and-improve loop notices and reroutes to a better performer before the bad outputs ship.

Trial new models safely

The explore arm sends a controlled slice of traffic to under-tried models, surfacing the ones that actually beat your defaults on live requests.

5. The shift it creates

Without it

One model = one point of failure
Hallucinations slip through unchecked
No quality floor you can trust

→

With it

Stop overpaying premium models for easy work
Catch model drift the moment quality slips
Retire your brittle if/else routing rules

6. What's inside

Adaptive — learns from real outcomes (UCB exploit/explore)

Classify → route → observe → improve, in real time

Cost/latency rails + capability filter

The full scoring + feedback logic

Instant download — no email, no payment

7. The details

Format

Runnable scripts + docs

Delivery

Instant — no email

License

Yours forever · use on every project

Works with

Any LLM / your own stack

How it actually works

Exactly what it does — and when.

1Classifies each task (mechanical · reasoning · creative · code) before routing — not a fixed rule.

2LEARNS from real outcomes: it tracks which model actually won per task type (UCB exploit/explore) and biases future calls toward the proven winner.

3Catches model drift — if a model quietly degrades, the explore term re-samples and the route moves off it.

4Cost/latency rails + a capability filter so a cheap task never burns your most expensive model.

In practice · It gets smarter the more you use it

Week one, it spreads work across your models and records every result. By week two it has noticed your fast model nails summaries but flubs hard reasoning, so reasoning tasks now go to the stronger one automatically — while it still occasionally re-tests the others to catch improvements. You didn't tune anything; the router learned your real workload and optimized itself.

Questions, answered

✓ Free · no email✓ Yours to own✓ Use on every project✓ Built to ship results