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A better way to organize AI workflows

Your AI workflow is already a system — you just have not written it down. Here is how to make it explicit, fast, and survivable.

Published March 17, 20267 min read

If you use AI daily, you already have workflows — summarize this, rewrite that, generate this, compare those. The problem is that most of them live in your head and your chat history instead of somewhere you can find them. Here is a system that fixes that without overcomplicating it.

Start with a workflow audit

Spend 15 minutes listing every AI task you do more than twice a month. Do not edit. Just dump them onto a page. Examples: "draft a product email", "summarize a meeting transcript", "explain a regex", "refactor this function", "write a SWOT analysis".

Most people come up with 15-25 workflows. That number should feel normal. If you have more than 40, you are in advanced territory and definitely need a system.

Group by category, not by AI provider

A common trap: organizing prompts by "ChatGPT prompts" and "Claude prompts". Do not do this. The model you use today is not the model you will use next year.

Organize by purpose instead: Communication, Analysis, Creative, Development, Research, Meta (prompts about prompts). This structure is durable across model changes.

Turn each workflow into a template with variables

For each workflow on your list, write the prompt once, mark the parts that change with {{variables}}, and save it as a template. This takes 60-90 seconds per workflow. An afternoon of this sets you up for a year.

Resist the urge to perfect every prompt upfront. Ship the first draft, iterate in place.

Access the library from anywhere

A library that requires opening a specific app defeats the purpose. You need access from your browser, your email client, your IDE, your terminal — wherever you currently are.

TextDeck solves this with the ⇧⌘P global hotkey on macOS. Hit it from anywhere, pick a template, fill in the variables, paste the result. The interaction is under three seconds.

Build a "frequent five" at the top

Your prompt library will probably have 20+ entries. Five of them will account for 80% of your daily use. Pin or favorite them so they are one tap away.

A typical frequent-five: quick summary, structured extraction, tone rewrite, code review, and "explain this to me like I am smart but unfamiliar". Yours will differ — notice which templates you reach for repeatedly and promote them.

Review and prune monthly

Once a month, scan your library and ask: did I use this in the last 30 days? If not for three months running, delete or archive. Libraries rot when they become storage graveyards. Keep it lean.

Also once a month, look at your top five templates and ask: could this be better? A five-minute tweak to a prompt you run 20 times a month is high ROI.

The point

A good AI workflow system is not about having a hundred perfect prompts. It is about having 15-20 decent ones you can trigger in under three seconds from anywhere. That is the shape that actually gets used.

Start with the workflow audit today. You will have a working library by tomorrow.

Try the workflow yourself