Automating Your Work with AI: From a Repetitive Task to a Process That Runs Itself
A manual task fails loudly — you notice. An automation fails silently: no error, no message, no trace, and you find out three weeks later from a customer. This book is about making it scream.
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01 — Overview
Overview
In the "AI for Work" course you were in the loop every time: you opened the tool, pasted, reviewed and sent. This book is about the next step — the process running without you, leaving you the exception.
And the whole book rests on one sentence: a manual task fails loudly and an automation fails silently. If you forget to send a quote, you find out. If the automation that sends quotes stops, nothing happens at all — and you find out three weeks later from a customer asking why they never heard anything. Every chapter here is an answer to that.
It also says first when not to automate. I build these systems, and chapter one carries an explicit list: a task recurring less than weekly, or differing every time, or a process never decided — do not build. Because automation freezes the process, so if it is wrong you have simply made it wrong faster.
02 — What you will learn
What you will learn
The seven-question test — including the one nobody asks: will you notice the error, and within how long?
Why the task that annoys you most is rarely the task that pays to automate
The design sheet, and why a step with no answer to “what if it fails” is a wish rather than a design
Ordering steps so the irreversible comes last — send after you record, never before
The duplicate input: the most frequent edge case and the least anticipated
Where AI belongs (classify, extract, summarise, draft) and where it never does (decide, calculate, money)
Constraining the model to a closed list, and the “other” bucket that turns a silent wrong decision into a visible exception
The three human-checkpoint patterns, and why “human on exceptions only” is a final station rather than a first
Why a review that does not shrink over time is manual work you added, not review
The heartbeat: alert on the absence of a run, not on its success — because silence means death, not safety
The shutdown drill: turn one off deliberately and count the hours before anyone notices
The real cost including maintenance, when to turn an automation off, and how a five-automation web becomes an undesigned system
03 — The chapters
The chapters
- What Automation Actually Is — and When Not to Automate
- Choosing the Task: The Seven-Question Test
- Draw It Before You Build It: Trigger, Steps and Failure
- The Data: Where It Comes From and Where It Goes
- Where AI Belongs — and Where It Does Not
- The Human Point: Where You Put the Review
- Failure: How You Find Out Before Your Customer
- Dependencies: You Are Building on Ground That Is Not Yours
- The Real Cost: The Calculation Nobody Does
- Ownership and the Team: What Happens When the Builder Leaves
- From Automations to a System: When to Stop Patching
- The Full Audit: 40 Questions and a Ninety-Day Plan
04 — What you get
What you get
12 chapters + a 20-term glossary
A 40-question audit + a ninety-day plan
No programming assumed, and no tool named
Print-ready PDF included (~49–59 pages)
05 — How subscribing works
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06 — Questions, answered
Questions, answered
How is this different from the “AI for Work” course?
That course is about you doing a task faster: you open the tool, paste, review and send, every time. This book is about the process running without you. That is a different discipline entirely — triggers, failure paths, monitoring, ownership — because the moment you are no longer in the loop, nobody is watching when it breaks.
Do I need to be technical?
No. The book assumes no programming and teaches no language. Modern platforms build most of what is in it by dragging and dropping — and the problem was never the tool, it was the design. What you get is the design: which task, which trigger, what happens when a step fails, where the review goes, and how you learn it stopped.
Does it recommend a platform?
It names none, deliberately — and in this subject especially, since automation platforms are bought, changed and closed faster than most. What does not change is the design: a trigger, steps, a result, and an answer for every way each step can fail. Learn that and you can build on any platform that exists or will.
Is most of it about AI?
Honestly, no — and chapter five says so plainly: in most successful automations AI is one step of five, and the rest is plumbing. Whoever lets a model do every step builds something fragile, slow and expensive, solving with a language model what a simple condition would solve. The chapter shows exactly where it belongs and where it never does.
How do I pay and get access?
There is no online payment on this site. Send the request form, I contact you personally, we arrange payment (cash or local transfer), then you get a one-time activation code for one device with lifetime access.
07 — Send your request
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