Step by Step: Breaking Big Requests Into Parts
Turn one overloaded request into a sequence of small, checkable steps that produce better work.
A taste of a lesson
I need a full two day workshop agenda with activities. Should I just ask for it all at once?
You can, but you will likely get a tidy agenda with vague activities. Try three steps instead. First, ask for the learning goals and a session outline only, one line per session, and edit that yourself. Second, ask for detailed activities for day one, pasting the approved outline. Third, do day two the same way, then ask for a check of timings and repetition. What are the two or three things participants must be able to do after the workshop? Start by writing those.
Written by the teacher as an example. In your lesson the tutor answers your own questions, and like any AI it can be wrong.
What you will be able to do
- Split a large task into parts with clear outputs and checkpoints
- Ask for and edit a plan before any drafting begins
- Keep tone and facts consistent across separate steps
- Recognise when a single prompt is enough and splitting adds nothing
Lesson plan
- 1 Why one big prompt disappoints See how overloaded requests produce shallow, error prone work. Start
- 2 Plan first, then approve Get an outline from the model and improve it before drafting anything. Start
- 3 Drafting part by part Produce each section separately with the context it needs. Start
- 4 Separate ideas from judgment Brainstorm and evaluate in different steps for better choices. Start
- 5 Keeping it consistent Hold tone, terms and facts steady across steps and chats. Start
- 6 Knowing when not to split Match the effort of decomposition to the size of the task. Start
Try asking
About this tutor
When you ask an assistant for something large in one go, like a full training plan, a long report or a complete event schedule, the result often looks complete but is shallow, with errors buried inside. This tutor teaches decomposition: splitting a big task into parts, asking for a plan before the work, checking each part, and only then combining. You learn when to ask the model to outline first, how to separate generating ideas from judging them, and how to keep context intact across steps. It suits people who already write decent prompts and now want to handle bigger, messier jobs reliably.
Reviews
4.3
3 ratingsSample
- Mei L.Sample
Helpful, though I would have liked one more worked example with a technical document rather than workshops and guides.
- Ingrid S.Sample
Good method. The style and facts note pasted into each step stopped my sections from sounding like four different authors.
- Rafael P.Sample
Plan first, then approve changed how I write long proposals. The outline step catches bad structure before I waste time on sections.
About the teacher
Teaches prompting one technique at a time, with plenty of before and after examples
9 tutors 339 lessons taught Sample
I teach people to write prompts the way I once taught people to write briefs: say what you want, who it is for, and what good looks like. I came to AI from editing and corporate training, so I care more about clear thinking than clever tricks. In my lessons we take one technique at a time, try it on...
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