Stop the Loop That Hallucinates and Burns Tokens

Presentation Deck

Full slide deck: ground the answer, route tools by meaning, rules it cannot bypass, and stop the burn

Why AI Agents Fail: Open-Source Demos

Anti-hallucination demos: Graph-RAG, semantic tools, multi-agent validation, neurosymbolic guardrails, runtime steering, and an AgentCore production path

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Stop AI Agents from Wasting Tokens

Token-efficiency demos: context overflow (memory pointer / offloader), MCP timeout handling, and repeated-call blocking

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5 Techniques to Stop AI Agent Hallucinations in Production

Blog post with architecture, benchmarks, and deployment guide

Reduce Agent Errors and Token Costs with Semantic Tool Selection

How filtering tools by meaning cuts wrong picks and token cost at once

Why AI Agents Fail: 3 Failure Modes That Cost You Tokens and Time

Context overflow, MCP timeouts, and reasoning loops

AI Agent Guardrails: Rules That LLMs Cannot Bypass

Deep dive on neurosymbolic guardrails and lifecycle hooks

Runtime Guardrails for AI Agents: Steer, Don't Block

Steering rules that let the agent self-correct instead of hard-failing

Strands Agents SDK

Open-source agent framework used in the demos

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