A workflow is simply the order in which you complete a task. You may already have a routine for writing a report, preparing a presentation or studying a new subject.
AI can help with particular steps in that routine. You might use it to organise ideas, prepare a draft or create an image, then review and finish the work yourself. You do not need to write code or connect several apps to make a useful AI workflow.
Begin with the finished result
Before choosing a tool, describe what you need to produce. Is it an email ready to send, a short presentation or a set of revision notes?
Then work backwards. What information do you need? Which steps take you the most time? Which parts require your own knowledge or approval?
For example, a simple presentation workflow might be:
- Decide what the audience needs to understand.
- Ask an AI assistant to suggest a clear outline.
- Check and change the outline.
- Draft the slides and choose suitable visuals.
- Review every fact and practise presenting it.
AI can assist at several points, but you decide what the presentation says.
Use a workflow for writing
Suppose you need to write a short article. You could ask an AI assistant to help you explore possible angles, then choose one yourself. Next, you could provide your notes and ask for an outline.
After checking the outline, write or develop the draft. AI can help identify repetition or suggest clearer wording. You would then check the facts, add your own examples and read the finished article to make sure it sounds like you.
If the article needs an image, you might use a second tool for that step. Only add a voiceover or video if the intended audience and format call for one. Each extra step should serve a purpose.
Use a workflow for learning
A learning workflow can be even simpler. Ask an AI assistant to explain a topic, compare that explanation with your course materials, then try to explain it in your own words.
You could ask the assistant to quiz you and give feedback on your answers. If you get a question wrong, return to the original material and work out why. The aim is to strengthen your understanding, not merely collect polished AI notes.
Decide where to check the work
Put a review step wherever an error could carry forward. If an outline contains a false claim, asking another tool to turn it into slides will make the error look more polished. Check the claim before moving on.
Useful checkpoints include:
- Before drafting: Is the task and audience clear?
- After receiving an AI answer: Are its facts and assumptions sound?
- Before sharing: Is the result accurate, appropriate and complete?
You may also need to check whether the information you plan to upload is suitable for the tool. Remove confidential or identifying details when they are unnecessary.
Keep tools to a minimum
You can complete many workflows with one AI assistant and your existing software. A second tool is useful when it does something your first tool cannot do well, such as editing a particular video or laying out a design.
Switching between apps takes time. If copying the same material through several tools creates more work than it saves, simplify the workflow. The goal is a better result with a manageable process.
Try it yourself
Choose one task you expect to do this week. Write down its steps from beginning to end. Mark one or two steps where AI might genuinely help.
Try the workflow once. Afterwards, ask yourself:
- Which step became easier?
- What did I still need to correct?
- Did the process save time overall?
- Would I use the same steps again?
Change the workflow based on your answers. A useful routine develops through practice, not by adding as many AI tools as possible.
Key takeaway
An AI workflow is a planned sequence of work in which AI helps with selected steps. It may involve one tool or several, with your decisions and checks between them.
Start with the result you need, use AI where it helps and review the work before it moves to the next stage. In the next lesson, we will apply that approach to research, learning and solving problems.