FAISS

Stop AI Agent Hallucinations: 5 Techniques + Production Patterns - Elizabeth Fuentes, AWS

Jul 11, 2026 · 55:19

Elizabeth Fuentes (AWS) presents five code-based techniques to stop AI agent hallucinations, each with measurable before/after metrics. Semantic Tool Selection filters 29 tools to the 3 most relevant per query, cutting token usage from thousands to under 300 per call. Graph-RAG replaces vector similarity with structured graph queries (using Neo4j), enabling precise aggregation and multi-hop reasoning that vanilla RAG fabricates. Multi-Agent Validation uses an Executor-Validator-Critic swarm to catch fabrications, achieving a 92% detection rate. Neurosymbolic Guardrails enforce business rules in Python hooks that the agent cannot skip, achieving zero rule violations. Agent Steering guides agents to self-correct when soft rules fire, completing tasks without hard failures—demonstrated by booking 50 guests by intelligently splitting into two rooms.

The AI Pivot: With Chris White of Prefect & Bryan Bischof of Hex

Nov 7, 2023 · 35:16

Chris White (CTO of Prefect) and Bryan Bischof (Head of AI at Hex) detail how their non-AI startups successfully pivoted to integrate AI, arguing that ruthless prioritization and deep product integration are key. White explains Prefect built the open-source Marvin project to learn from LLM experimenters, while adding AI features like error summaries to its core orchestration product, but had to restrain over-enthusiasm from engineers. Bischof describes Hex's Magic feature as an augmentation, not a separate product, and explains they built their own evaluation system but chose not to build a vector database, and killed a promising feature called Crystal Ball to avoid splitting the product experience. They both emphasize machine-to-machine interfaces and typed outputs, and caution that the work is often tedious data engineering. Their hot takes: White says stop building chat interfaces, AI is a tool; Bischof warns that the journey is boring but worth it.