03
Cost-Optimized Multi-Agent AI System
A hierarchical agent architecture that combines coordinator models, delegated sub-agents, and Telegram interaction.
- Problem
- Running advanced AI workflows with large models alone was expensive and inefficient.
- Solution
- Designed a hierarchical agent architecture with Hermes, using a powerful coordinator model and delegated sub-agents for token-intensive workloads. Added Telegram integration for real-world interaction.
- Technologies
- Hermes · OpenClaw · APIs · Telegram · Multi-Agent Systems · Linux
- Role
- AI solution architect & implementer
- What I learned
- Combining orchestration, delegation, and parallel execution greatly improves both cost efficiency and overall system performance.