2.2.1 - The Routine Work Checklist Nobody Talks About
Define the routine work checklist: say what repeats, who owns it and what done looks like each time.
Routine work checklist
Is this routine work clear or drifting into unnecessary custom build?
The call
Name the routine work before it hides inside custom effort. Otherwise AI helps you over-engineer tasks that should stay standard.
Why it matters
Most delivery delay comes from over-customising standard tasks instead of improving core user outcomes. AI can compare routine options quickly, but human judgement decides when routine work should stay standard and when it should become strategic. The difference is between reliable execution and expensive complexity that users never asked for.
Explainer
Routine work is not background noise. It is the repeatable work that keeps the core path reliable once people start using it. Until you can name one recurring task, one owner and one done condition, routine work stays invisible and under-owned. AI can help automate pieces of it, but it cannot decide what must be checked every time.
Make the routine work checklist concrete
Compare the broad version with a version you can actually test.
- Too vague: We will sort out the routine operational work later.
- Concrete enough to test: Every time the tooltip data changes, one person verifies the JSON is valid, checks that each slug matches a published post and confirms the tooltips render correctly before deploying the theme.
The second version lets two people do the same checks from it.
Read more about how this works in Ways to get to a sharp answer. The full Sharpen prompt for the routine work checklist is below for members, join vibe2value to use it.
Check the routine work checklist
- Pass: You can say what repeats, who owns it and what done looks like each time.
- Fail: If routine work still means all the boring parts, the checklist is not clear enough yet.
Do not move into scale, release or automation work until this passes.
What you'll walk away with
This post is about the framing decision: the words that pin down what this idea actually means for your build, before any code. You'll come out with your own knowledge-base/build/routine-checklist.md written and sharpened: the routine work checklist pinned down as a decision, three worked examples to map against your own surface and an AI prompt that pressure-tests it until two people would make the same call.
The code that brings these decisions to life lives in the build-in-public repos (subCancel, ghostMarketingFlow and flowRun), which are works in progress growing alongside the writing. We work through the code together each week in the free weekly workshops; that is where these ideas get put into practice with hands on the keyboard.
Working with AI? Start with build it with AI, the free guide for this kind of work, or browse all six ways at Working with AI.
In plain words
In plain words: this idea is about spotting the ordinary, standard work and keeping it standard, instead of quietly turning it into a custom build. AI makes over-engineering routine tasks easy, which costs time without helping users. Naming the routine work up front keeps your effort on what actually matters.
If you sign up, this idea continues with how it all fits together, a worked example, how to use it with AI, how to evaluate it on a real change, the risks worth naming and how to mitigate them, the key takeaways and a copy-paste AI prompt you can drop straight into your next chat. Examples are shown on the Cloudflare Workers stack with AI-assisted coding tools; the ideas apply equally on any other platform.