Your AI Agent Isn't Crashing. It's Bleeding Tokens.
Your AI agent doesn't crash. It gets stuck. It silently produces wrong results, waits forever on external APIs, and calls the same tool 14 times while burning through your token budget. These failures never throw errors. They just cost money.
Join Elizabeth Fuentes, Developer Advocate and AI agent specialist, for a live technical session where she will diagnose the three silent failure modes killing production AI agents and demo the fix for each one, with real code and real metrics.
Key Highlights:
Context Window Overflow: What happens when a tool returns 214KB of data and your agent silently loses context. The Memory Pointer Pattern stores large data outside the context window and returns a 52-byte pointer, achieving a 7x token reduction.
MCP Tools That Hang: Why external API calls cause 424 errors and freeze your agent workflow. The async handleId pattern returns job IDs immediately and lets agents poll for results, turning a 17-second hang into a 1.7-second response.
Reasoning Loops: Why ambiguous tool feedback causes agents to repeat the same call 14 times. DebounceHook detects duplicates in a sliding window while clear SUCCESS/FAILED states tell the agent when to stop. Result: 14 calls down to 2, 21 seconds down to 4.
Every fix includes a live demo with before/after metrics. All code is open source and framework-agnostic.
Speaker
Elizabeth Fuentes is a Developer Advocate and AI/ML specialist focused on making production AI accessible to developers. She specializes in AI agent reliability, building open-source demos that validate research on hallucination detection, memory systems, context management, and cost optimization with working code developers can deploy immediately.
With a background spanning data analytics, machine learning, and developer education, she bridges the gap between cutting-edge AI research and real-world implementation through hands-on tutorials, open-source projects, and live demos in both English and Spanish.
Please join DataPhoenix Slack and follow us on LinkedIn and YouTube to stay updated on our community events and the latest AI and data news.