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FIELD NOTES

Writing from the work.

Practical notes on automation, AI systems, internal apps and the decisions behind software that people actually use.

Selected articles

Useful ideas, tested in practice.

SEO

Why "keywords that describe my service" is the wrong starting point

Starting keyword research from your own service vocabulary only surfaces demand you already expected. A problem-first approach — Problem → Solution → Use case → Outcome — finds the searches that actually lead to the same project.

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Process

The AI Transparency Checklist for a Twenty-Person Company

Six checks that tell you whether your AI disclosure holds up, written for a company with no legal department and no AI officer.

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AI systems

The EU AI Act Deadline You Think You Missed

The high-risk deadline moved to December 2027. The transparency rules did not: they have applied since 2 August 2026. Most SMEs have it backwards.

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Automation

The Real Cost Comparison Nobody Shows You: Rented GPU vs API Tokens

Everyone compares GPU rental price to API price per token. That comparison is missing the column that actually decides which one is cheaper for you.

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AI systems

Running Your Own LLM Is Cheap in Dollars, Expensive in Time

We rented a GPU and self-hosted an open-weight model instead of calling a third-party API. Here's what actually broke, and what we'd tell anyone trying this.

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AI Automation

How to Actually Compare Coding Models: What BridgeBench Measures That Older Benchmarks Don't

HumanEval and MBPP are saturated — frontier models clear 90%+ and the score stops telling you anything. BridgeBench evaluates across seven production-relevant categories instead of one isolated task type.

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AI Automation

What Is Claude Fable 5.1? A Business Guide to Anthropic's New Flagship

Fable 5.1 is Anthropic's new flagship, released September 2026 — matching or beating Opus 5 on most benchmarks while using fewer tokens. What that means for a project you're planning.

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AI Automation

The AI Automation Projects That Fail After the Demo — and Why

The demo always works. The failures we get called in to fix all happen after that, in the gap between a clean example and messy real usage. Three patterns show up over and over.

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Product Strategy

When a Custom App Beats a No-Code Stack (And When It Doesn't)

No-code tools win for the first three months. Then usage grows, and the same shortcuts that made you fast start making you slow. Here's how to tell which side of that line you're on.

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Process

Your Data Isn't Ready for AI — Here's the Five-Step Cleanup That Comes First

Most automation projects stall the first time they meet real records. The cleanup that unblocks them takes days, not quarters, you can run it yourself, and it pays back even if you never build the automation.

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Process

What an AI Pilot Should Cost — and the Three Numbers That Decide If It's Worth It

Real budget ranges for a first automation project, the two costs every budget forgets, and the three numbers you can work out yourself to know whether a project is worth doing at all.

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AI systems

What Google's Policy Actually Says About Scaled AI Content — and What the Data Shows

The spike-then-collapse pattern in AI content sites is real and documented. The viral case studies illustrating it usually are not. We separated the verified policy text and published datasets from the marketing anecdotes.

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Tools

yt-dlp: The Boring Tool Behind Most Media Pipelines (And What It Costs You Legally)

A 184,000-star command-line downloader is the ingestion layer under most AI content workflows. What it actually does, why the licence is unusual, where it breaks, and the compliance questions to settle before it touches a client project.

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Automation

What an AI Automation Agency Actually Does (And What to Ask Before You Hire One)

The category is two years old and already full of people selling the same three workflows at consulting prices. Here's what the work really involves, where it fails, and the questions that separate a partner from a demo.

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Process

Do You Need a Customer Portal? What It Costs, What It Saves, and When Not to Build One

A client portal removes the status-update loop between you and your customers. Here is how to work out whether it pays for itself, what belongs in version one, and the three reasons portals fail after launch.

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AI systems

What Is an AI Agent? A Business Definition — and Why 89% of Pilots Never Ship

A plain definition of an AI agent, the four levels of autonomy worth distinguishing, and an honest look at why most enterprise agent pilots die before production. Written for the person who has to approve the budget.

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AI systems

What Is an MCP Server? A Business Guide to the Model Context Protocol

An MCP server is the layer that lets an AI assistant reach your actual systems. What it contains, what it costs, where it goes wrong, and how to decide whether your company needs one — from a team running four of them.

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Process

Find the Ten Hours: A Process Audit You Can Run Without Us

The whole method we use to find where a company is losing time, written out so you can run it yourself on a Thursday afternoon. No tools to buy, no consultant required.

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AI

Claude Opus 5: The Frontier Just Got Affordable

Anthropic's new flagship doubles frontier performance while cutting costs — what it means for anyone building agentic products.

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Product philosophy

Why We Build Custom Apps Instead of Buying More SaaS

Stacking another subscription rarely fixes the actual workflow problem. Here's when a small custom app beats adding one more SaaS tool to the pile.

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Automation

The n8n Workflow That Saves Our Clients 10 Hours a Week

One repeated pattern shows up again and again in client inquiries: information trapped in one tool, needed in three others. Here's the workflow we build to fix it.

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AI systems

AI Agents Are Ready for Your Internal Tools Sooner Than You Think

Computer-use AI agents can already operate real, undocumented internal software. That changes what "automatable" means for legacy tools and admin panels.

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Process

How We Scope a Project in the First Meeting

No pitch deck, no generic discovery questionnaire. Here's what actually happens on the first call before we quote a fixed price.

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Process

The One Metric We Actually Track for Client Projects

Not velocity, not story points, not hours logged. One number tells us more about whether a project is going well than everything else combined.

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