The pressure to "do something with AI" often leads to a flashy demo that never touches real work. Start dull instead: pick one hated, frequent, repeatable task and test whether improving it is worth a week.
Field Notes
Notes from the field,
Notes from the field,
not the brochure.
Practical notes on using AI in a real small business. No hype, no jargon. Just what works, what doesn't, and what we'd tell a friend who runs the place.
The working archive.
Short, specific reads for the person actually deciding what to do next. Written from real engagements, not a content calendar.
Pilots
What a useful AI pilot looks like
A good pilot is small, time-boxed, and tied to a number you already track. We share the one-page brief we use to keep pilots honest — and the exit criteria that let you stop one without it feeling like failure.
5 min read
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Measurement
Measuring time saved without fooling yourself
Hours saved is the easiest metric to inflate and the hardest to defend. How to baseline the before, count the after, and report a number you would stand behind in front of your CFO.
5 min read
Read
Judgment
When not to use AI
Every vendor will tell you where AI fits. Almost no one will tell you where it doesn't — which is strange, because knowing when to walk away is most of what makes the technology pay off. A short, honest list of the places we tell clients to leave it alone.
5 min read
Read
Decisions
Build vs. buy for a 20-person team
You do not have a platform team, and you should not pretend you do. A plain framework for deciding when an off-the-shelf tool wins and when a small custom build actually pays for itself.
8 min read
Read
Data & trust
Keeping your data out of the model
You can get real value from AI without handing your customer records to a vendor for training. A practical look at retention settings, data boundaries, and the questions to ask before anything sensitive goes near a prompt.
7 min read
Read
Agents
What an AI agent actually is — and the three safe places to start
"Agent" is the word of the year, and it's doing a lot of work. Strip away the mystique and an agent is just software that can take a few steps on its own toward a goal you set. The question that matters isn't how clever it is — it's where you'd let one off the leash, and where you wouldn't.
7 min read
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Operations
The boring work that makes AI worth it
Clean inputs, clear ownership, a place for the output to land. The unglamorous groundwork is what separates a tool people use from a tool people quietly abandon.
6 min read
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Strategy
Why most automations fail in month two
The build works. The launch goes fine. Then reality drifts — a form changes, an edge case shows up, nobody owns it. Here is what keeps an automation alive past the honeymoon.
6 min read
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Process
The handoffs where work goes to die
When a job stalls, everyone blames a person. Look closer and the delay almost never lives inside the work — it lives in the gaps between steps, where something sits in an inbox waiting to be noticed. The biggest wins from automation aren't faster tasks. They're handoffs that stop dropping things.
6 min read
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Customers
The follow-ups falling through the cracks
Most small businesses don't lose customers to a competitor. They lose them to silence — a quote nobody chased, a "let me think about it" nobody circled back on. The fix isn't a bigger CRM. It's making the follow-up happen without depending on someone remembering.
6 min read
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Content
Using AI for content without sounding like everyone else
AI can fill a content calendar in an afternoon. The problem is it fills everyone's the same way — the same tidy, weightless, faintly robotic paragraphs. The win isn't generating more content. It's getting the speed of AI drafting while keeping the one thing that makes content work: sounding like you.
6 min read
Read
Show us where the work gets stuck.
Bring the repetitive handoff, follow-up, or admin task nobody wants to own. We'll help find the first useful build.
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