Field Notes

Notes from shipping real AI systems

No think-pieces. No hype. Just what we’ve learned from scoping, building, and maintaining AI agents for operators who can’t afford to waste a quarter on a stuck project.

13 min read

AI Automation Agency vs AI Development Agency: What's the Difference?

AI automation agencies ("AAA") and AI development agencies are two distinct businesses serving different buyers. We break down what each one ships, who they hire, where the line really is, and which one matches your project — with a 5-row comparison table and a 4-step decision framework.

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16 min read

What Is Retrieval-Augmented Generation? A Buyer's Guide to RAG in Production

Retrieval-augmented generation (RAG) is how most production AI systems answer questions over your data without hallucinating, retraining the model, or burning the context window. Plain-English explainer for non-technical buyers — what RAG is, when to use it, and the four failure modes that kill RAG projects.

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11 min read

OpenClaw: The Personal AI Agent That Actually Does Things

OpenClaw is an open-source personal AI agent that runs locally on your own machine, integrates with 50+ tools (Gmail, GitHub, Slack, Telegram, browser, shell), and can write its own skills. We break down what it does, how it works, who it is for, and what it takes to deploy it well.

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10 min read

Hermes Agent by Nous Research: The Agent That Grows With Your Server

Hermes Agent is an MIT-licensed autonomous agent from Nous Research that runs on your server, remembers what it learns, writes its own skills, and orchestrates isolated subagents. We unpack the architecture, the capabilities, and the practical work it takes to make a deployment pay off.

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14 min read

Best Generative AI Consulting Companies (2026)

An honest, opinionated comparison of 10 generative AI consulting companies in 2026 — boutique practitioners, mid-sized AI specialists, Big 4 strategy firms, and enterprise giants. Includes who each one is actually best for, with a 10-row summary table.

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12 min read

How to Build an AI Agent (Without an ML Team)

Plain-English guide to building an AI agent without an ML team. What an agent actually is, the five parts you need (model, tools, memory, control loop, observability), what you can realistically DIY, and the common mistakes that kill projects before week three.

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13 min read

AI Agents vs. Traditional Automation: When to Use Each

AI agents and traditional automation solve different problems. Pick the wrong tool and you either overspend on an agent for a workflow Zapier could handle, or you cap the value of a workflow that needed judgment. A practical decision guide.

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9 min read

What Drives the Cost of Building an AI Agent? A 2026 Honest Breakdown

Most cost guides for AI agents are generic brackets dressed up as advice. The real question is what drives the cost of your specific build. Four variables move the number more than anything else, and the LLM bill is almost never the expensive part.

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11 min read

How to Choose an AI Development Agency: 12 Questions That Separate Real Builders from Hype Shops

If you are evaluating AI agencies, twelve questions are enough to separate the real builders from the hype shops. We are an agency. Here are the questions we wish more clients asked us — and the answers that should make you walk away.

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10 min read

AI Agency vs In-House AI Team: A Decision Framework for 2026

Most AI-agency-vs-in-house posts are vendor advocacy in disguise. Here is a framework that gives the honest answer for your situation — including the specific cases where in-house wins, even when an agency would be cheaper this quarter.

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10 min read

LangChain vs CrewAI vs AutoGen: What Business Buyers Need to Know Before Hiring an AI Agency

LangChain, LangGraph, CrewAI, AutoGen — the framework comparison posts are written for engineers, but business buyers are the ones writing the checks. Here is what each framework means for your timeline, your budget, and your ability to switch teams later.

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7 min read

Why Most AI Projects Fail (And It's Not the Models)

Every few months a client tells us their AI thing is broken and asks if we can swap in a better model. We almost never touch the model. Here's what's actually going wrong.

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9 min read

Build vs Buy for AI Automation: A Decision Framework

Every founder and ops lead we talk to has the same question: do we buy the AI tool or build our own? Here's the framework we use — and the uncomfortable fact that the right answer is often a hybrid neither side likes.

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8 min read

How to Scope an AI Agent Project Without Getting Burned

The scope document is where most AI agent projects are lost — before anyone writes a single line of code. A field-tested checklist for operators who don't want to hand over a blank check.

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