RAG
AI Mixes Up 7-Day and 15-Day Returns? Problem Isn't the Model — Nobody Tests It
12 customer service questions expose RAG's weak spot: similar dates (7-day vs. 15-day return) trip up AI most. Must-read for enterprise AI support.
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LangSmith
9 articles tagged with this topic
LangSmith
LangSmith Lets AI Apps Self-Check — LLM Deployment Enters the Observability Era
LangChain's LangSmith exposes every AI request's internals and scores output. Its rise signals AI engineering's shift from "it runs" to measurable.
LangSmith
AI Agents Run Like Blind Boxes — LangSmith Wants to Be Their ECG
LangSmith makes AI agent runs visible — every tool call, token, and error. When AI moves to enterprise, "invisible" becomes the biggest cost black hol
Agent
Agents Are Easy to Launch, Hard to Grade — Model Companies Hit the Evaluation Wall
The biggest blocker for Agent deployment isn't model intelligence — it's not knowing if it got the answer right. Evaluating non-deterministic AI is th
Agent
AI Agents Now Rewrite Code and Databases: Sandboxes Become a Business Must-Have
AI agents now write code and change databases. OWASP shows 41% of LLM flaws come from over-permissioning. Sandboxing is governance, not engineering.
Gartner
90-Point Agent Fails a Week After Launch: The Evaluation Gap Is the Real Problem
Agent hit 90 in testing, bombed with real users. Gartner: 40% of Agentic AI projects canceled by 2027, failure rate 4.2x. Bottleneck: evaluation.
ReAct
AI Interviews Now Ask 'How to Handle Agent Failures'—Engineering Beats Jargon
Interviews now probe failure recovery over definitions. This signals Agent dev is in deep engineering—jargon isn't enough; you need real crash experie
Pydantic
Stop Trusting AI Hallucinations: A Builder's Guide to Verifiable Data Pipelines
Jepson's latest analysis exposes critical reliability gaps in modern AI stacks. Learn how to architect systems that verify outputs, enforce constraint
LangSmith
Stop Chasing Leaderboards: How Berkeley Exposed Flawed AI Agent Benchmarks
Berkeley researchers reveal critical data contamination in top AI benchmarks. Learn how to validate your own agent tools, avoid overfitting, and build