Unlock the reality of AI agents in production! While the AI agent gold rush is on, many businesses and developers struggle to move beyond expectation. This episode dives deep into the three fundamental challenges of AI agents: observability, reliability, and performance. Discover actionable strategies to overcome these hurdles and deploy your AI agent to production with confidence. Learn how to effectively communicate your needs to your AI, avoid common pitfalls like context window overload, and implement effective AI agent evals and debugging processes. We explore building high-value vs. low-value agents, structuring prompts for clarity, and the future of interacting with these powerful AI tools. If you're building or considering AI agents, this conversation is packed with insights on making them truly work.
Learn more about Synth: https://www.usesynth.ai/
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00:00:00 - intro
00:04:28 - Current & Upcoming Viable AI Agent Use Cases
00:08:11 - Common Pitfalls When Building AI Agents
00:13:32 - Strategies for Debugging Bad LLM Calls
00:21:46 - Enhancing AI Agent Observability
00:33:22 - AI Tooling: Build vs Buy Decision
00:38:51 - Choosing the Right LLM for Your Agent
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