// 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.

flux@store
$ install intelligent-model-router
✓ resolving dependencies
✓ ready — 0 setup, runs on your machine
› launching…
fusion · routing
GLM
Cursor
Kimi
DeepSeek
JUDGE
One fused answer
≥ your best single model
$ run --pipeline
1
Route the task
2
Models draft in parallel
3
Cross-verify & fact-check
4
Strongest-model judge elevates
5
Deliver one fused answer
$ explain --how-it-works

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.

$ cat spec.txt
FormatRunnable scripts + docs
DeliveryInstant — no email
LicenseYours forever · use on every project
Works withAny LLM / your own stack
$ benchmark --vs-alternatives
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
$ diff --before-after
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

Use it to…

Real ways people run Intelligent Adaptive Model Router.

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.

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

Who it's for

Engineers running multi-model apps

They juggle several LLMs and need routing that learns from results instead of hand-coded static rules.

Cost-conscious API teams

Heavy model spend means routing every task to the cheapest model that still wins is direct margin.

Teams shipping LLMs to production

They need drift caught automatically—before a degraded model reaches real users.

Questions, answered

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

Ready to put Intelligent Adaptive Model Router to work?

Free download · no account needed · yours forever

Intelligent Adaptive Model Router