Case StudyMulti-AgentArchitecture
Case Study: Navratna Council - Orchestrating 6 AI Agents
2026-01-11•Yash Rawat
Challenge: Single LLMs lack diversity of thought. I needed a "Board of Advisors" simulated by AI to provide multi-perspective decision support, not just text generation.
The "Flow Engineering" Solution
I moved beyond simple prompting to building a distributed system. The Navratna Architecture orchestrates 6 distinct personas (The Sceptic, The Architect, The Strategist, etc.) in parallel.
Key Engineering Feats
- Exponential Backoff Queues: Handled API rate limits when 6 agents hit providers simultaneously by implementing a custom queuing system with retry logic.
- Multi-Key Rotation: Built a round-robin key manager to maximize throughput across different API tiers.
- Dual Persistence: Engineered a "Firebase-First, JSON-Fallback" storage layer, ensuring the system runs offline or during cloud outages.