AI and agents

LLM features and agent workflows that survive production

How agents stay reliable

Production AI needs routing, guardrails, and feedback loops baked in from the start.

  1. Capture intent

    User jobs drive what the agent should do

  2. Route tools

    Retrieval, APIs, and fallbacks with budgets

  3. Measure live

    Evals, latency, and cost under real traffic

We integrate AI where it improves the product, not where it demos well. Tool routing, retrieval, guardrails, and observability are designed alongside the mobile or web experience so agents stay reliable under real traffic.

What you get

  • Prompt and tool architecture
  • On-device or API model integration
  • Monitoring, fallbacks, and iteration loops