N8NPublic signal
The problem
You're overpaying for AI.
And you don't even know it.
001
You're Bleeding Money on AI Without Realizing It
One request looks cheap, but agentic workflows turn it into ten. Cheap tasks keep hitting expensive models, and you overpay for thousands before anyone notices.
002
One Provider Outage and Your Product Is Dead
You built everything on one provider. The day they go down or change a policy, your app breaks with no fallback and no control.
003
Your Most Expensive Model Is Doing Your Dumbest Work
Extracting dates, reformatting text, answering basics. All of it routed to your priciest model out of habit, and that lazy default costs you every day.
004
Every Model Is Different and Nobody Has Time to Keep Up
Some write better, some code better, some handle images, and the best choice keeps shifting. Tracking everything as new models drop becomes a full-time job.
005
Every New Model Launch Breaks Something You Just Fixed
A new model drops and everyone wants it, so you rebuild SDKs, prompts, tests. You finish migrating, another launches, and you're chasing releases, not shipping.
006
You Have No Idea What Your AI Is Actually Doing
Which model ran? What did it cost? Did it fail silently? Most teams have no logs, no per-request cost, no audit trail. They're running blind.
Community signal
People are already feeling this pain.
Every week on developer forums, the same story repeats: bills keep rising, models keep changing, rate limits break workflows, and teams are left stitching together their own routing logic.
CURSOR / OPENROUTERPublic signal
REDDIT / LOCALLMPublic signal
AI_AGENTSPublic signal
REDDIT / MYCLAWPublic signal
N8NPublic signal
CURSOR / OPENROUTERPublic signal
REDDIT / LOCALLMPublic signal
AI_AGENTSPublic signal
REDDIT / MYCLAWPublic signal
REDDIT / MYCLAWPublic signal
LLM_GATEWAYSPublic signal
XPublic signal
XPublic signal
XPublic signal
XPublic signal
XPublic signal
XPublic signal
XPublic signal
REDDIT / MYCLAWPublic signal
LLM_GATEWAYSPublic signal
XPublic signal
XPublic signal
XPublic signal
XPublic signal
XPublic signal
XPublic signal
XPublic signal
N8NPublic signal
AI_AGENTSPublic signal
XPublic signal
XPublic signal
XPublic signal
N8NPublic signal
AI_AGENTSPublic signal
XPublic signal
XPublic signal
XPublic signal
CURSOR / OPENROUTERPublic signal
REDDIT / MYCLAWPublic signal
XPublic signal
XPublic signal
CURSOR / OPENROUTERPublic signal
REDDIT / MYCLAWPublic signal
XPublic signal
XPublic signal
REDDIT / LOCALLMPublic signal
LLM_GATEWAYSPublic signal
XPublic signal
XPublic signal
REDDIT / LOCALLMPublic signal
LLM_GATEWAYSPublic signal
XPublic signal
XPublic signal
INTRODUCING ROUTOR
Smarter routes.
Smaller bills.
A single endpoint that routes every request to the cheapest capable model. Drop-in OpenAI-compatible.
Built for production
Always routes. Never breaks.
Provider down? Rate-limited? Returning errors?
Routor falls back automatically.
You never see a failure.
SAVINGS
More than 60%
cheaper than always-on flagship models. Pay only for the intelligence each query needs.
SPEED
Intent Based routing
15-dimensional keyword scoring decides in <10ms. Zero AI overhead. No classification model needed.
CONTROL
Pin or auto
Use model: "auto" to route. Or pin a specific tier to get more controlled routing of your taste. You stay in control.
HOW IT WORKS
The right route. Every single time.
Routor scores every request, filters the capability pool, and picks the cheapest model that can actually deliver.
Step 01
Two lines. Done.
Change your base URL. Set model to 'auto'. Your SDK works just like before only smarter and cheaper now.
Step 02
Routor reads your prompt.
It checks the task: easy, hard, reasoning, long in under 10ms. No extra trips. No waiting.
Step 03
The cheapest model that can do it wins.
Easy work goes to fast, cheap models. Hard work goes up the ladder. GPT-4 and Claude Opus only run when nothing cheaper can do the job.
Step 04
Build your router in the Playground.
Make a custom router for your app. Pick the models, set the max cost, test it with real prompts. Then go live.
Capabilities
One API. Everything just works.
[ 01 ]
Picks the right model for you
Set model to `"auto"`. That's it. A "hello" goes to a free model. A hard question goes to a smart one. Routor sends each prompt to the right place.
[ 02 ]
Handles any file type
Send images, files, audio, or video. Routor sees what you sent and picks a model that can read it. Nothing breaks.
[ 03 ]
Never goes down
If one provider fails, another takes over right away. Every model has a backup. Your users never get stuck.
[ 04 ]
Smart with tasks
AI doesn't just answer, it can search the web, run code, or check your calendar. Some models are good at this, some aren't. Routor sends each task to a model that's good at it.
[ 05 ]
Build your own router
Make a custom router for your chatbot in the Playground. Pick the models. Set the max cost. Test it with real prompts, then put it to work.
[ 06 ]
See where your money goes
Track every dollar. Which prompt cost what. Which model ran. What you'd pay without Routor. Real numbers, no guessing.
SAVINGS>60%vs flagship default
ROUTING <10ms zero AI overhead
COST/REQUEST $0.0003average per query
UPTIME99.9%across all providers
TOTAL VISITS142,384
live visits tracked
CUSTOM ROUTING PLAYGROUND
Build your own router and test it.
Build a router just for your app, a chatbot, or anything else. Pick the models it needs, set how much it can spend, test it, and make it live.
CONFIG
TIER FLOOR · CEILING · COST CAP
TEST
REAL PROMPTS · LIVE ROUTING
PROVIDERS
10+ PROVIDERS · 60+ MODELS
RESULT
CHEAPEST CAPABLE
PROFILE NAME
MODEL TIER RANGERange: NANO → SIMPLE
Routing Engine
Routor6 ProvidersBuilder signal
Teams route more.
Spend less.
From cost control to fallback handling, Routor gives teams a cleaner way to run AI features without overpaying for every request.
Signal / 01-64% cost
“Routor made our AI stack feel less fragile. We stopped hardcoding model choices and started routing by task quality and cost.”
Maya Chen
Founder, FlowDesk AI
Signal / 028ms routing
“The best part is that our users did not notice the change. Same output quality, much cleaner infrastructure, lower bills.”
Arjun Mehta
CTO, QueryPilot
Signal / 033.2M routes
“We use Routor for support, summaries, and writing flows. It keeps simple prompts away from expensive flagship models.”
Nina Kapoor
Product Lead, Draftly
Signal / 0499.9% uptime
“Fallbacks alone saved us during provider rate limits. The app kept responding while the routing layer handled the mess.”
Leo Grant
Engineering Lead, StackForge
Signal / 0512 profiles
“Before Routor, every model decision was a meeting. Now routing profiles handle most of it automatically.”
Sara Williams
Ops Head, HelpGrid
Signal / 06-58% spend
“For an early-stage product, this is exactly what we needed. No giant AI infra team, no surprise invoices.”
Dev Iyer
Builder, IndieOps
Signal / 01<10ms
“The routing playground helped us understand what each prompt actually needed. It made model selection visible.”
Aisha Rahman
AI PM, CortexBase
Signal / 021 API
“We started with one chatbot. Now every AI feature goes through Routor before it touches a provider.”
Tom Ellis
Founder, InboxMind
Signal / 035 tiers
“The concept is simple but powerful. Route cheap when possible, upgrade only when the task demands it.”
Rhea Soni
Design Engineer, PromptKit
Signal / 040 outages
“We had provider failures that used to become user-facing errors. Routor turned them into invisible reroutes.”
Omar Khan
Backend Lead, DocuNest
Signal / 0541% faster
“Our content workflows got faster and cheaper without changing the UX. The routing layer just sits underneath everything.”
Clara Stone
Growth Lead, WriteOS
Signal / 066 providers
“I wanted control without building routing logic myself. Routor gave me model rules, caps, and fallback behavior in one place.”
Kabir Nair
Solo Founder, Minerva
Open channel
Talk to the room.
No account, no email, no waiting list. Pick a handle and say what you think about routing, costs, or the models you're stuck with.
live
Connecting…
Public and unmoderated. Don't post anything you wouldn't put on a billboard.
FAQ
Frequently asked questions.
01What exactly does Routor do?
Routor sits between your app and every AI provider. When a request comes in, it decides which model to send it to based on the task, your budget, and your preferences. You write one integration. Routor handles the rest.
02Do I need to rewrite my existing code to use it?
No. Routor is OpenAI-compatible, so if you're already using the OpenAI SDK, you change one line: the base URL and you're in. Everything else stays the same.
03How does Routor decide which model to use?
You set the rules. You can route by task type, cost per token, model capability, or define fallback chains. Routor follows your logic. It doesn't make opinionated decisions without your input.
04What happens if a model or provider goes down?
Routor automatically falls back to the next model in your chain. Your users never see an error. Your app keeps running. You find out through logs, not through a customer complaint.
05Is my data sent to Routor's servers?
Your requests pass through Routor's routing layer, but you control where they go. We don't store your prompts or responses unless you explicitly turn on logging for your own debugging purposes.
06Does Routor work with models beyond OpenAI?
Yes. Routor supports multiple providers including Anthropic, Google, and open source models. The whole point is that you never get locked into one. New providers get added as they become production-ready.
07Will cheaper models hurt my output quality?
Not if you route intelligently. Simple tasks go to lighter models. Complex reasoning, long-form generation, or high-stakes outputs go to stronger ones. Quality stays consistent because the right model is handling the right job.
08What if I want to always use one specific model?
That works too. Routor doesn't force you to spread requests across models. You can pin specific routes to specific models and only use fallback or cost routing where it makes sense for you.
09How is this different from calling providers directly?
Calling providers directly means managing credentials, handling outages, tracking costs, and updating integrations every time a new model drops, all by yourself. Routor centralizes that so your team focuses on building, not maintaining API plumbing.
10Is Routor only for large teams or high traffic apps?
No. Solo developers and small teams benefit just as much. You don't need scale to waste money on the wrong model or get burned by a provider outage. Routor makes sense from day one.
11What happens to my credits if a request fails?
If a request fails before a model processes it, no credits are deducted. If a model returns an error mid-response, you are only charged for tokens actually consumed up to that point.
12Can I see what Routor is doing with each request?
Yes. Every request is logged with which model was used, how much it cost, latency, and whether it fell back. You get full visibility into your AI traffic so you can actually optimize it.
