Building a conversational agent that helps users learn and apply principles from an upcoming business and life management book for a large enterprise client.
Role
AI Engineer on a small team assembled by Tribe AI.
Contributions
- Multi-Agent Architecture: Designed and implemented a hierarchical multi-agent architecture to handle complex conversational flows and teaching interactions
- Team Enablement: Trained the team on prompt evaluations and application observability tooling, establishing best practices for agent development
- Research & Optimization: Conducted research projects to optimize the techniques used by agents for teaching, improving learning outcomes
Technologies
- Multi-agent orchestration
- Prompt engineering and evaluation frameworks
- Application observability tooling
- LLM-based conversational AI
