You’ve already learned several ways AI can help you.
You can use it to write better prompts, organise tasks, research information, create content and work through problems.
But something more powerful happens when you start combining these skills.
Instead of using AI for one task at a time, you can use it to help you move through a series of connected steps.
This is called a workflow.
Don’t let the word sound complicated.
A workflow is simply a series of steps that takes you from where you are now to the result you want.
The important idea is not to make AI do everything.
It’s to work out where AI can help at each step while you stay in control of the whole process.
Start With the Result
Before thinking about AI, think about what you actually want to accomplish.
For example, imagine you want to organise a family lunch.
Your goal isn’t:
“Use AI.”
Your goal is:
“Plan a simple family lunch that everyone can enjoy.”
Once you know the result you want, you can work backwards and think about the steps involved.
You might need to:
- Decide what to serve
- Work out what you need to buy
- Organise the preparation
- Tell people what they need to know
Now you can start asking:
“Where could AI help me?”
That’s the beginning of a workflow.
Break the Job Into Steps
A large task can feel complicated when you look at everything at once.
Breaking it into smaller steps makes it easier to see what needs to happen.
For example:
Goal: Plan a family lunch
Step 1: Decide on the menu
Step 2: Create a shopping list
Step 3: Organise the preparation
Step 4: Write a message to the guests
You don’t necessarily need AI for every step.
Perhaps you want to choose the menu yourself but use AI to create the shopping list and preparation schedule.
That’s completely fine.
A workflow isn’t about using AI as much as possible.
It’s about using AI where it is genuinely useful.
Let One Step Lead to the Next
A workflow becomes even more useful when the result from one step becomes the starting point for the next.
Imagine you’ve decided that your family lunch will include roast chicken, vegetables and a simple dessert.
You could ask:
“Turn this menu into a shopping list for six people.”
Then:
“Organise the shopping list into supermarket sections.”
Then:
“Create a preparation schedule so I can get everything ready without rushing.”
Each step builds on the one before it.
You’re not starting from scratch every time.
You’re moving through a process.
This is one of the most useful ideas behind AI workflows:
The output from one step can become the input for the next.
You Stay in Control
A workflow doesn’t mean AI takes over.
You still decide:
- What you’re trying to achieve
- Which steps need to happen
- Where AI can help
- What information AI receives
- Whether its suggestions make sense
- What you accept or change
- What the final result should be
You might decide that AI should help with one step but not another.
You might reject its suggestion and choose a different approach.
That’s not a failure of the workflow.
That’s exactly how it should work.
AI supports the process. You direct the process.
Check Before You Move On
One of the biggest advantages of working in steps is that you can check your progress as you go.
Imagine AI creates a shopping list from your menu but leaves out an important ingredient.
If you don’t notice until the day of the lunch, the mistake has already caused a problem.
Instead, pause after each important step.
Ask yourself:
“Does this make sense?”
“Is anything missing?”
“Does this fit my situation?”
If something isn’t right, fix it before moving to the next step.
And remember the habits you’ve already learned:
Check important information. Question assumptions. Keep your own judgement involved.
A workflow should make your work clearer — not make mistakes harder to spot.
Workflows Don’t Have to Be Complicated
You might hear people talking about complicated AI workflows involving lots of tools, automation and technical systems.
You don’t need any of that to get started.
A simple workflow might involve only three or four steps and one AI tool.
For example, imagine you need to give a short presentation.
You could use AI to:
1. Generate ideas
“Give me five possible points to cover in a presentation about improving customer service.”
2. Organise your ideas
“I like ideas 1, 3 and 5. Help me turn them into a simple structure.”
3. Create a first draft
“Turn this structure into a 10-minute presentation. Keep the language clear and conversational.”
4. Practise
“Give me five questions someone might ask after this presentation.”
The workflow is:
Ideas → structure → draft → practise
Each step has a purpose.
Each step builds on the previous one.
And you remain involved throughout.
Let’s Make It Practical
Now let’s build a simple AI workflow using something you actually need to do.
Choose a task from your own life.
It could be:
- Planning an event
- Organising a trip
- Preparing for a meeting
- Writing something important
- Organising a project
- Learning about a subject
- Getting a difficult task started
Step 1 — Decide the Result
Write down:
“I want to…”
Finish the sentence with the result you want.
For example:
“I want to organise a three-day family trip.”
Step 2 — List the Steps
Ask yourself:
“What needs to happen to achieve this?”
Write down three to five steps.
For example:
Choose where to go → find things to do → create an itinerary → work out what to pack
Step 3 — Find the AI Opportunities
Now look at each step and ask:
“Could AI genuinely help with this?”
You might decide:
Choose where to go — I’ll decide this myself.
Find things to do — AI could help me generate ideas.
Create an itinerary — AI could help organise my choices.
Work out what to pack — AI could create a starting list.
You’ve now identified where AI fits into your process.
Step 4 — Try the First Step
Start with one step.
Give AI enough context to understand what you’re trying to accomplish.
Then review the result.
Ask yourself:
“Is this useful?”
“Is anything missing?”
“What should I change before moving on?”
Step 5 — Use the Result for the Next Step
Take the useful information from the first step and use it to move forward.
You might say:
“Based on what we’ve decided so far, help me with the next step.”
Continue one step at a time.
You don’t need to build the whole workflow perfectly before you begin.
You’re learning by doing the work and improving the process as you go.
Step 6 — Look Back at the Workflow
When you’ve finished, ask yourself:
“Did using AI actually make this easier?”
“Which step did it help with most?”
“Was there a step where AI wasn’t useful?”
“What would I do differently next time?”
This is how you begin to recognise opportunities for AI in your everyday work.
What You’ve Learned
A workflow is simply a series of connected steps that moves you towards a result.
You can use AI within that process without handing the whole task over to it.
Remember:
- Start with the result you want.
- Break the job into smaller steps.
- Identify where AI can genuinely help.
- Let useful information flow from one step to the next.
- Check the result before moving forward.
- Keep control of the process and the final decision.
- Start with simple workflows rather than complicated systems.
The real skill isn’t getting AI to do everything.
It’s learning to look at a task and think:
“What are the steps, and where could AI make this easier?”
Once you start thinking this way, you stop seeing AI as something you simply ask questions to.
You start seeing it as a tool you can use within the way you work.
And that opens up a much bigger question:
What if you could turn the useful ways you’ve discovered into a repeatable system you can use again and again?
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