The five MLOps monitoring assumptions agents break, and which inherited signals now pass failed runs as healthy.

The post AgentOps Is Not MLOps: What Breaks in Your Monitoring Stack When Agents Go to Production appeared first on Towards Data Science.

How we stopped reviewing every agent action and started routing human attention where it actually mattered

The post Human-in-the-Loop Without Killing Throughput appeared first on Towards Data Science.

A lightweight runtime layer that separates instructions, evidence, memory, and tool output before they reach the model

The post AI Agents Don’t Need More Context — They Need Typed Context appeared first on Towards Data Science.

Turning a demo agent into something that can keep real booking data

The post Building a Proper Backend for My LangGraph AI Agent appeared first on Towards Data Science.

AI agents don’t just have a context problem—they have a context typing problem. When instructions, memory, retrieved evidence, and tool outputs are flattened into one string, their semantic boundaries can disappear. I built a lightweight, zero-dependency Python runtime that keeps those boundaries explicit, tracks provenance, and rejects invalid context transformations before they reach the model. This article walks through the implementation, tests, and what this approach does—and does not—guarantee.

The post AI Agents Don’t Need More Context — They Need Typed Context appeared first on Towards Data Science.

Turning a demo agent into something that can keep real booking data

The post Building a Proper Backend for My LangGraph AI Agent appeared first on Towards Data Science.

Adding more communication pathways between agents doesn’t necessarily improve multi-agent performance. In a controlled, reproducible experiment across 50 runs, recovery remained remarkably stable from 20% to 100% relationship density. But as the network became denser, the fraction of edges actually used fell sharply—revealing a gap between configured connectivity and behavioral connectivity.

The post Graph Engineering Isn’t About More Connections — It’s About Which Ones Get Used appeared first on Towards Data Science.

Become a more productive software engineer with LLMs

The post How to Perform Effective Project Management with AI appeared first on Towards Data Science.

Giving an AI agent access to a data warehouse doesn't automatically make it agent-ready. The real challenge lies in teaching the agent what the data means and when it's reliable enough to use. 

The post Building an Agent-Ready Data Warehouse: What Traditional Architectures Do Wrong appeared first on Towards Data Science.

A step-by-step guide to building a data agent and conversational interface that let business users to explore data in natural language without SQL

The post I Built an AI Data Agent Which Can Query Data and Answer Business Questions. Here’s How. appeared first on Towards Data Science.