The right AI model for every task,
picked automatically, before you send
Adaptive Mode reads the prompt you are about to send and suggests the most cost-effective model for the job. A typo fix or a translation routes to a light, cheap model. A big refactor or an architecture design routes to a flagship. You pick only the power you actually need.
Smaller models cost a fraction of the flagship. Right-sizing the model for each task means you burn far less of your plan's budget per task, so you run more tasks per day without hitting a usage wall. One click applies the suggestion and you keep working.
Adaptive Mode matches each task to the cheapest model that can do it well: Haiku for light work, Sonnet for balanced work, Opus for heavy work. Less cost per task, more tasks per day.
Here is the money problem with running AI coding agents. Every model has a price, and the gap between the cheap one and the flagship is large. Claude Opus is the most capable model, and the most expensive. Claude Haiku is the cheapest. Claude Sonnet sits in the middle. Most people pick one model and leave it there, so they either underpower their hard tasks or, far more often, overpay for their easy ones.
Think about what you actually ask an agent to do in a day. Fix a typo. Rename a variable. Translate a UI string. Write a short unit test. Summarize a document. None of that needs a flagship model. Run it all on Opus and you burn your plan's usage budget many times faster than you need to, for an identical result. That waste is invisible, which is exactly why it adds up.
Adaptive Mode closes that gap. Before you send your first message, it reads your draft, works out how hard the task really is, and suggests the cheapest model in your provider's lineup that can still do the job well. The heavyweight models stay reserved for the work that earns them: architecture, security audits, large refactors. Everything else routes to a model that costs a fraction as much.
Why match the model to the task
Stop overpaying on easy tasks. A flagship model on a typo fix is money set on fire. Adaptive Mode steers light work to a light model, so each trivial task costs a fraction of what it would on the top tier.
Keep the powerful model for the hard problems. Right-sizing is not about always going cheap. When the task is a system design or a security audit, Adaptive Mode tells you to switch up, so the work that needs depth actually gets it.
More tasks per day on the same plan. Less budget spent per task means you hit your usage limit later. Across a full day and a fleet of parallel agents, the savings compound into real extra throughput.
Zero workflow friction. The suggestion appears as a small chip above the composer before you send. One click applies it. No menus to hunt through, no manual guessing about which model fits, no slowing down.
The economics: consume less, do more
Same agents, same plan. The difference is how much of your budget each task eats.
One model for everything
- : Every task runs on whatever model you left selected.
- : A flagship model on a typo or a translation costs many times what it should.
- : Your plan's usage budget drains fast on work that never needed the power.
- : You hit the usage wall earlier in the day and the agents stall.
- : Switching model by hand is fiddly, so nobody bothers.
Adaptive Mode on
- : Each task is matched to the cheapest model that can do it well.
- : Light work routes to a light model and costs a fraction as much.
- : The flagship is saved for refactors, audits and architecture.
- : Less budget per task means more tasks before any usage limit.
- : One click applies the right model, so right-sizing actually happens.
The routing itself is near-free: a small, fast model does the analysis in well under a cent, then gets out of your way.
How Adaptive Mode works, step by step
It runs once, before your first message, and never gets in your way.
You start typing your prompt
Open a fresh conversation with any agent and write what you want done. Adaptive Mode only looks at brand-new conversations, so it never interrupts a session that is already going.
It reads the task and analyzes it
Once your draft is substantial enough and you pause for a moment, Adaptive Mode sends the first part of your draft to a small, fast routing model that figures out how demanding the task is.
A model suggestion appears
A chip surfaces above the composer: 'Switch to Haiku', 'Switch to Sonnet' or 'Switch to Opus', whichever is the most cost-effective fit. If your current model is already the best choice, it tells you that instead.
You apply it in one click
Click the chip and the model is applied. If a session is already running, Adaptive Mode live-switches it. The choice is also saved to the agent, so the next launch starts on the right model.
Or recompute, or dismiss
Reworded your prompt? Hit refresh to recompute the recommendation for the new draft. Happy with your current model? Dismiss the chip and send. You stay in control of every call.
It stays quiet after that
Adaptive Mode suggests once per conversation, so it never nags you or quietly spends your monthly allowance while you keep editing. It does its job, then disappears.
Provider-agnostic model routing
Adaptive Mode reads the model lineup of whatever provider you are using and recommends from that catalog. It is not tied to one vendor.
Claude
Routes across Haiku, Sonnet and Opus. Haiku for quick fixes, renames, translations, short tests and summaries. Sonnet for pull-request reviews, new endpoints, complex debugging and refactors. Opus for system architecture, security audits, large legacy refactors and deep performance work.
Codex
Routes across the Codex lineup, from the fast, cheap mini model for small bugs and quick questions, to the balanced default for end-to-end features and tests, up to the flagship reasoning model for complex system design and deep code review.
Gemini
Routes between the fast Gemini model for small fixes, translations and summaries, and the capable Gemini model for implementing features, debugging and deeper analysis.
Other providers
For any provider, Adaptive Mode falls back to a simple rule: the cheapest model for light work, a balanced model for normal work, the most capable model for hard work. Add a provider and it routes within that provider's own models.
FAQ
What is Adaptive Mode in AgentsRoom?
Adaptive Mode is smart model routing for your AI coding agents. Before you send your first message, it reads your prompt and suggests the most cost-effective model in your provider's lineup that can still do the task well. A light task gets a light, cheap model; a heavy task gets a flagship. The goal is simple: stop overpaying with a powerful model on work that does not need it.
How does Adaptive Mode pick a model?
It sends the first part of your draft to a small, fast routing model that has been guided with examples of which kinds of tasks suit which model tier. It then returns the cheapest model that fits the task, validated against the models your current provider actually offers. If your current model is already the best fit, it says the model is optimal instead of pushing a change.
How does this actually save me money?
Cheaper models cost a fraction of the flagship for the same simple task. If you run typo fixes, renames, translations and short tests on the top model, you burn your plan's usage budget many times faster than you need to. Adaptive Mode routes that light work to a light model, so each task costs less and you can run more tasks before hitting a usage limit. Across a day and many parallel agents, those savings compound.
Which models can it suggest?
Whatever your provider offers. On Claude that is Haiku, Sonnet and Opus. On Codex it spans the fast mini model, the balanced default and the flagship reasoning model. On Gemini it spans the fast and the capable models. For other providers it falls back to cheapest, balanced and most capable. Adaptive Mode reads the live model list, so it always recommends a model you can actually run.
Does it switch the model automatically?
No. Adaptive Mode only suggests. You apply the change with a single click on the chip. If a session is already running it switches the model live; in every case the choice is saved to the agent so the next launch starts on the right model. You can also dismiss the suggestion and keep your current model.
When does the suggestion appear?
On a brand-new conversation, after you have typed a substantial prompt and paused for a moment. It runs once per conversation, so it never interrupts an ongoing session and never quietly spends your monthly allowance while you keep editing.
Can I recompute the suggestion?
Yes. If you rewrite your prompt, hit the refresh button on the chip to recompute the recommendation for the new draft. A manual recompute uses one of your monthly suggestions, so it is there when you want it without running on every keystroke.
Is my prompt private?
To compute a suggestion, only the first part of your draft is sent to AgentsRoom servers, once per conversation, and only when Adaptive Mode is enabled. You can turn the feature off entirely from settings if you prefer to choose models yourself.
Does Adaptive Mode work with Codex and Gemini, not just Claude?
Yes. Adaptive Mode is provider-agnostic. It reads the model catalog of whatever provider the agent is using and recommends from that catalog, whether that is Claude, Codex, Gemini or another supported provider. The model-switch command is built for the provider you are on.
How do I turn Adaptive Mode on or off?
It is on by default, because right-sizing the model saves money out of the box. You can disable or re-enable it any time from the AgentsRoom settings under Adaptive Model.
Goes well with
Claude Code Token Usage
See token consumption and cost per session in real time. Pairs with Adaptive Mode: route smart, then watch the savings land.
Agent Delegation
A dev agent hands a test off to a cheaper QA agent through MCP. Same idea as Adaptive Mode, applied to whole agents.
Multi-Provider
Run Claude, Codex and Gemini side by side. Adaptive Mode routes within whichever provider each agent is on.
Project Statistics
Time, prompts, tokens and cost per project and per agent. The dashboard view of the budget Adaptive Mode helps you protect.
Agent Status Tracking
Live status for every agent across every project, so you always know who is working and who needs you.
Restore Session
Quit and come back with every agent, terminal and model selection exactly where you left them.
Stop overpaying for AI model power you don't need
Download AgentsRoom and let Adaptive Mode pick the most cost-effective model for every task. Light models for light work, flagships for the hard problems, less budget burned per task, more tasks shipped per day.
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