AI Agent & Application Architecture with Rakesh Khanduja

Design the right architecture for your AI application or agent.

Have an AI idea but unsure how to turn it into a reliable system? We’ll work through the problem and design an architecture that balances intelligence, autonomy, integrations, security and production requirements.

We’ll cover:

1. Agent vs workflow architecture
2. LLM and model selection
3. RAG and context engineering
4. Tools, APIs and MCP integrations
5. Memory and state management
6. Human-in-the-loop patterns
7. Security and guardrails
8. Evaluation, observability and reliability

Outcome: A practical target architecture, key design decisions, trade-offs and an implementation roadmap.

Bring the problem. We’ll design the system.