Tool Use - AI Conversations Why AI Agents Fail In Production And How To Fix It (ft Josh Purtell)
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May 13, 2025 In this engaging discussion, Josh Purtell, Founder and CEO of Synth, shares insights on the pressing challenges of deploying AI agents in real-world applications. He reveals strategies for overcoming issues like observability and reliability, ensuring AI agents can perform effectively. Listeners learn about the importance of structured prompts, avoiding pitfalls like context window overload, and evaluating agent performance. Purtell also highlights the balance between high-value and low-value agents, providing a roadmap for businesses aiming to leverage AI technology confidently.
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Prioritize Fixing Major Bottlenecks
- Measure token counts in prompts to avoid overloading context windows and steadily improve performance.
- Use AI to identify common failure reasons to prioritize fixing impactful problems first.
Improve Agent Observability
- Enhance observability by logging input/output of tools and underlying backend interactions.
- Use providers like Langsmith or Langfuse to gain insight into your agent’s operation in production.
Structure Prompts for Clarity
- Structure prompts by clearly stating premises, goals, and constraints separately.
- Break down what you want and don't want to consistently articulate instructions to the AI.