The Seadogs field notes
I’m Nick. This is where I share what I’m learning about AI, building websites and leading technical work. You’ll find practical guides alongside the experiments I’m still figuring out. If you’re trying something similar, I’d like to hear about it.
The first series / The Studio Rig
Alberto has been running my autonomous delivery setup for roughly four months with hosted models. Now Luca and Giulia are joining it. Can we bring more of the model work onto the rig?
Written by Nick Lawton
15 posts
A founder-friendly guide to agentic engineering, the main tools shaping the space, and how to start using coding agents without getting lost in hype, tool sprawl, or weak review habits.
ai implementation
Small teams do not need enterprise theatre, but they do need clear rules for tools, data, review, and accountability. This guide explains what needs a policy and what does not.
ai implementation
AI is most useful before build cost climbs. This guide shows how it can tighten a POC or MVP brief before the team commits real delivery effort.
ai implementation
AI can speed up finance work around models, scenarios, and reporting without replacing the underlying finance discipline. This guide shows where it helps and where control still matters.
ai implementation
AI can speed up planning work when it helps founders structure messy thinking into documents people can actually use. This guide shows where it helps and where human review still needs to stay visible.
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AI tools multiply quickly when the business buys software faster than it improves workflows. This guide helps founders choose tools and vendors without creating another messy stack.
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Content systems get messy when drafting, design, approval, and reuse live in different places. This guide shows how AI, Canva, and internal knowledge can create a cleaner operating rhythm.
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AI is not a strategy on its own, but it does change what a business can automate, accelerate, and redesign. This piece explains how founders should think about that shift.
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A convincing demo is not the same as a viable product. Use this guide to pressure-test an AI product idea before time and build cost climb.
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Most businesses do not need a grand AI plan before they start. They need to know whether the workflows, ownership, data, and review steps are ready enough to pilot safely.
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AI adoption breaks down when experimentation outruns ownership. This guide shows how to introduce AI without creating tool sprawl, confusion, or weak controls.
ai implementation
AI creates the most value in some workflows and the most risk in others. This guide helps founders separate strong use cases from fragile ones.
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Start with the workflows where AI can remove manual drag, speed up routine work, and return capacity. This guide shows founders where those gains tend to appear first.
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The best first AI automation is boring, measurable, and easy to review. This checklist helps founders choose a first workflow that proves value quickly.
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AI prioritisation gets easier when use cases are judged by ROI, risk, and effort together. This guide gives founders a cleaner scoring frame before tools multiply.
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