When Codex is the right shape for the problem, when Claude Code is, and how I split 5 specialist agents between them on dense AI capacity work.

The post When to Use One Model and When to Use a Team of Agents appeared first on Towards Data Science.

How we split a tightly coupled Python pipeline into independently deployable services

The post When One Process Becomes Too Much: Splitting a Pipeline into MCP Services 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.

What happens when you stop feeding a model context and let it go find its own, walking a knowledge graph within strict limits, and what four models and one wrong prediction revealed about whether that is worth doing.

The post Stop Giving Your AI Agent a Search Box and Start Giving It Typed Tools, Hard Bounds, and a Gate It Cannot Talk Past appeared first on Towards Data Science.

What a production incident taught me about trusting a model to judge another model's work

The post The LLM Judge That Kept Agreeing With Itself appeared first on Towards Data Science.

How a seemingly harmless move to a multi-agent architecture quietly tripled our LLM costs and what actually fixed it.

The post The 3× Token Bill We Didn’t See Coming appeared first on Towards Data Science.