One AI model does the easy work and the risky work with the same brain, so you overpay on simple tasks and get burned by answers that are almost right but not quite.
Route every task to the right model, then trust the result
Model Router is a manager agent that splits your request, sends each part to the best-fit model, and merges the pieces into one answer. Cheap models handle the busy work, a deep model handles the hard thinking, and a rival model gives an independent second opinion.
Splits the brief into a hard decision plus routine cleanup work
Returns a decision-ready recommendation on the risky call
Reaches the same call independently, blind to the reasoner
Tech Lead merges both views into one answer you can trust
one run · manager plans, specialists report, you get one answer
The job, before you had a team for it.
This is the work Model Router quietly takes off your plate.
You pay top-model prices even for simple, mechanical tasks
One model gives one opinion, so nobody catches the errors
Answers that are almost right waste hours in debugging
High-stakes calls ship without a real second check
A team of agents, not one prompt.
A manager agent reads the goal and hands each part to a specialist built for it, then reconciles their work into one result.
Plans the request, routes each sub-task to the right specialist, and synthesizes everything into one final answer
Breaks a complex brief into sub-tasks, delegates each to the right model, and returns one synthesized result without doing the heavy work itself.
Takes reasoning-heavy problems and thinks them through fully, returning a concise, decision-ready conclusion.
Runs clearly specified, mechanical sub-tasks quickly and cleanly with zero deliberation and zero scope creep.
Solves the same problem independently and from first principles, giving a committed recommendation shaped by its own view.
How it runs.
Fork it, point it at your inputs, and let the team work.
Tell the manager what you want in one plain-English sentence.
Map each role to the model that fits its job best.
Mark which tasks are simple and which are high-stakes.
The manager delegates, gathers, and returns one synthesized answer.
Choosing a database for a new feature.
"We need to add real-time notifications. Pick a data store and outline the schema."
- Deep Reasoner recommends a store with a clear trade-off analysis
- Second Opinion reaches its own pick, blind to the reasoner
- Fast Worker drafts the schema and index list
- Tech Lead merges both picks into one recommendation with the risks flagged
Where teams put it to work.
Runs high-stakes architecture and refactor decisions through two independent models before committing.
Gets a senior-level second opinion on technical calls without hiring a second engineer.
Routes mixed workloads so simple tasks stay cheap and hard problems get deep reasoning.
- A plain-English description of the task
- Which model to use for each role
- The rule for what counts as high-stakes
- One synthesized recommendation
- The independent second opinion behind it
- Clean output for the mechanical sub-tasks
- A clear flag on any point where the models disagreed
What is an ai coding agent?
An ai coding agent plans and carries out coding tasks on its own, not just autocomplete. It breaks a request into steps, does the work, checks it, and returns a finished result. Model Router adds a manager that routes each step to the best model.
The agent decides what to do next based on your goal. Model Router layers a manager on top so several models act as one team.
Why route work across multiple models?
One model overpays on easy tasks and gives just one opinion on hard ones. Routing sends simple work to a cheap model and high-stakes work to a deep model, then runs a rival model for a real second opinion.
Gartner expects task-specific models to be used three times more than general ones by 2027. Routing cuts cost and catches more errors.
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Questions, answered.
How is this different from using one AI model?
One model uses the same expensive brain for every task and gives a single opinion. Model Router sends easy work to a cheap model, hard work to a deep model, and runs a rival model for an independent check, so you save money and catch more errors.
Do the models really work independently?
Yes. On high-stakes calls the Deep Reasoner and the Second Opinion never see each other's work. That independence is what turns a second model into a real check instead of an echo.
Do I need to write code to set this up?
No. You describe the goal in plain English, assign a model to each role, and set the routing rules. The manager handles delegation and synthesis for you.
Fork Model Router and make it yours.
Start from a working team of agents, then swap the tools, tune the instructions, and run it in your own workflows.
Fork this template