Deep dive into how we architect AI systems that can reason, plan, and execute complex workflows autonomously.
Beyond API Calls
Most AI integrations stop at simple API calls—send a prompt, get a response. But the real power of modern LLMs lies in orchestration: building systems where AI agents can plan multi-step workflows, use tools, and iterate toward goals.
The Orchestration Stack
Our production AI orchestration layer consists of several components working together:
- Planner: Breaks down high-level goals into actionable steps
- Executor: Runs individual steps, calling tools and APIs as needed
- Memory: Maintains context across interactions and sessions
- Evaluator: Assesses results and decides whether to iterate or complete
"The future isn't AI that answers questions—it's AI that solves problems."
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