The problem

AI features are easy to demo and expensive to run. Without rate limits, caching and fallbacks they get slow, costly and unpredictable.

The approach

We pick the one task where AI clearly helps, use deterministic logic wherever it's enough, and wrap model calls with rate limits, caching, structured outputs and fallbacks.

What’s included

  • Use-case scoping
  • Model and provider choice
  • Structured outputs and validation
  • Rate limiting and caching
  • Streaming responses in the UI
  • Cost and quality monitoring

Typical stack

GeminiOpenAISpring BootKotlinTypeScript

Proof

Shipped work that uses this

FAQ

AI features: common questions

Something else on your mind? Email yashatwork01@gmail.com.

Whichever fits the task and budget: Gemini, OpenAI or Anthropic. The code keeps the provider swappable.

Let's talk about your project.

Share a few details and you'll get a reply within 24 hours: honest advice, a rough range, and the next step.