I got tired of juggling AI APIs… so we built one API for everything
If you’ve worked with AI APIs recently, you probably know the pain:
One API for text
Another for images
Another for speech
Different formats, auth, pricing, limits…
Glue code everywhere
At some point, it stops being “building with AI” and starts being managing APIs.
So we decided to fix that.
What we built
We created a Unified AI Gateway — one API that handles:
Text generation
Image generation
Speech (TTS / STT)
Vision + document analysis
Translation & transcription
All through a single endpoint.
What this actually looks like
Instead of juggling multiple SDKs and APIs, you just send:
POST /api/ai/gateway
With something like:
{
"category": "image",
"input": {
"text": "Futuristic data center"
},
"quality": "flux-pro"
}
Or:
{
"category": "document",
"subType": "invoice",
"input": {
"prompt": "Enterprise invoice for AI consulting"
},
"language": "es"
}
That’s it. Same structure. Same endpoint.
Why we built it this way
Most tools optimize for model access.
We wanted to optimize for developer experience.
So we focused on:
⚡ ~50ms average latency
🧠 Intelligent model routing (you don’t have to pick every time)
🌍 100+ languages
💸 Simple usage-based pricing (1000 free daily neurons)
What surprised us
The biggest win wasn’t performance.
It was how much simpler the codebase became.
Less branching.
Less vendor lock-in.
Less time spent debugging weird API differences.
Try it yourself
If you’re curious, you can explore it here:
Docs → https://docs-api.usefreelanceflow.com/
Swagger (live playground) → https://docs-api.usefreelanceflow.com/swagger
OpenAPI spec → https://docs-api.usefreelanceflow.com/openapi.json
Looking for feedback
This is still early, and we’re actively improving it.
If you’re building anything with AI, I’d genuinely love to know:
What’s annoying you right now?
What APIs are you stitching together?
What would make this actually useful for you?
Tear it apart 👇
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