Productivity
How to Build a Simple AI Workflow for Repetitive Tasks
AI is most useful when it removes a repetitive step without removing the judgment that makes the work good. A common mistake is to start with a tool and ask what it can automate. A better approach is to start with the task itself: what happens repeatedly, what information is needed, and where could an error cause real damage?
Start by listing three tasks you perform at least once a week. Good candidates include turning meeting notes into action lists, creating first drafts from information you already collected, grouping customer questions into themes, or converting rough notes into a consistent format.
Separate the workflow into inputs, transformation, review, and output. AI can often help with transformation. For example, you might provide notes and ask for a draft checklist. The review stage remains yours: check names, dates, numbers, claims, and anything that could affect a customer or business decision.
A useful workflow is deliberately boring: collect source material, give the AI a precise instruction, inspect the result against the original material, then publish or send it. If the same task happens frequently, save the instruction as a template and improve it based on real mistakes.
Finally, measure the result. Saving ten minutes is not automatically valuable if you spend fifteen minutes correcting the output. Track time and errors for several repetitions. The goal is reliable improvement, not maximum automation.