Self-Correcting Memory and State Freshness in Agent Systems
Agents retrieving outdated facts with confidence can ship packages to wrong addresses.
Priya Nanthakumar
Section
Observability Tools
8 stories in Observability Tools.
AI Agent Audit Trails for GDPR, HIPAA, and SOC 2 Compliance
Regulators designed frameworks for humans; agents now need purpose-built audit trails.
Marcus Delacroix
Observability Gaps in the Current Agent Tooling Ecosystem
Current agent monitoring tools were built for single prompts, not multi-step decision chains.
Saoirse Ó Floinn
Benchmarking LLM Latency Inside Agent Tool-Call Loops
Standard LLM benchmarks miss how agent loops compound latency across multiple hops.
DeShawn Okafor
Prompt Injection Detection in Production Agentic Pipelines
Attackers now bypass single-layer defenses by targeting trusted channels agents already use.
Saoirse Ó Floinn
Distributed Tracing for Autonomous Agent Pipelines
Agents need tracing built for semantic failures, not just crashes.
Marcus Delacroix
Agent Evaluation Frameworks Compared for Production Use
Build production confidence by layering unit tests, trajectory scoring, and live monitoring.
Saoirse Ó Floinn
Detecting Agent Failure Modes in Production Observability Stacks
Agents fail invisibly—confidence with wrong answers—and standard monitoring can't catch it.
Priya Nanthakumar