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Field notes from the studio

Practical write-ups on shipping AI agents, RAG systems, and data infrastructure into production. No fluff, just what worked.

Do You Actually Need an Agent, or Just a Workflow With an LLM in It?
Agentic WorkflowsSep 22, 2026·8 min read

Do You Actually Need an Agent, or Just a Workflow With an LLM in It?

Before you scope an agent project, answer one question first: does this task need model-driven judgment, or a fixed sequence of steps? Here's a buyer-usable checklist for making that call.

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18 posts
LangGrinch: When Your Agent Framework's Serialization Layer Becomes the Attack Surface
Agentic Workflows

LangGrinch: When Your Agent Framework's Serialization Layer Becomes the Attack Surface

What LangGrinch and a later LangChain advisory mean for dependency ownership, trust boundaries and acceptance checks in an AI agent implementation.

Sep 4, 2026·6 min readRead more
Your Agent Traces Are Lying to You: The Race to Standardize Agent Observability
Agentic Workflows

Your Agent Traces Are Lying to You: The Race to Standardize Agent Observability

OpenTelemetry just shipped semantic conventions for agent spans, Datadog adopted them natively, and the Linux Foundation stood up a new governance body for agent infrastructure. Here's what's actually usable today, what to skip, and why your traces still might not tell you why the agent did what it did.

Sep 1, 2026·7 min readRead more
AI Agent Implementation Costs: Budgeting Beyond the Token Bill
Agentic Workflows

AI Agent Implementation Costs: Budgeting Beyond the Token Bill

How to scope AI agent implementation and operating costs, measure cost per accepted task, and test budget controls before a production rollout.

Aug 31, 2026·7 min readRead more
AI Agent Evaluation: Acceptance Tests Beyond a Judge Score
Agentic Workflows

AI Agent Evaluation: Acceptance Tests Beyond a Judge Score

How to review an agent evaluation plan: connect judge findings to release decisions, test resulting state, and define approvals, failure cases and human review.

Aug 28, 2026·5 min readRead more
Why Multi-Agent Systems Fail: The First Real Taxonomy of Production Breakdowns
Agentic Workflows

Why Multi-Agent Systems Fail: The First Real Taxonomy of Production Breakdowns

A UC Berkeley study of 1,600+ multi-agent execution traces finally gives the industry a rigorous vocabulary for why agent fleets break in production, and it maps directly onto fixes teams can ship this quarter.

Aug 25, 2026·7 min readRead more
The Sandbox Is the Product: Why Agent Execution Isolation Just Became Its Own Layer
Agentic Workflows

The Sandbox Is the Product: Why Agent Execution Isolation Just Became Its Own Layer

Agents now write and run their own code. That means the box they run it in matters more than the prompt that got them there. Here's what changed, what broke, and how the isolation decision tree actually works.

Aug 16, 2026·7 min readRead more