Optimizing AI Performance in Production
Best practices for deploying and scaling AI models in production environments.
Bringing AI Back to Code: Introducing Functions.do
AI is powerful—but as any developer knows, integrating it into real applications is often frustrating. You get brittle outputs, endless prompt tweaking, and unexpected failures. That's where Functions.do comes in.
Functions.do transforms generative AI into structured, predictable functions—like building blocks you can trust. No more parsing vague responses. No more wrapping fragile prompts. Just clean, reliable, strongly-typed outputs you can plug directly into your app.
Why It Matters
Developers want to harness AI without giving up control. With Functions.do:
- You get predictable schemas, not unpredictable blobs.
- You write code, not magic incantations.
- You build fast, integrate cleanly, and scale confidently.
How It Works
You can call Functions.do in three simple ways:
- Dynamic Prototyping
const result = await Ai.categorizeDocument(doc);
typescript - Cloud-Managed Schemas
npx functions.do pull
bash - Local-to-Cloud Control (coming soon)
npx functions.do push
bash
Get Started
Whether you're building prototypes or production systems, Functions.do gives you the power of AI—without the chaos.
👉 Join our developer community or check out the docs to get started.
Welcome to the next era of AI development. It feels a lot like coding—and that's the point.