Prompting and review
Get Better at Prompting and Reviewing AI Responses
Practise defining a task, writing prompts, reviewing AI responses and improving outputs through iteration.
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Course topics
Prompting and review
- Define the task
- Evaluate outputs
- Iterate and reuse
You check the response
Find your fit
Is this a useful starting point?
For people already using AI at work who have basic prompting experience.
- Starting point
- Intermediate
- Course length
- 2.5 total hours
- Lessons
- 34 lectures

Course by Nicolle Merrill
Course last updated: 05/2026
Requirements
- Experience using AI at work
- Experience working with general purpose AI tools
- Basic prompting experience
DoJo membership: A$250 per month per seat, excluding GST. Includes fortnightly group support and a private member community.
Explore the lessons
Course curriculum.
6 sections • 34 lectures • 2h 37m total length
Overview of the Prompting Workflow7 lectures • 27min
- Behind the question: How do I get better at prompting?01:45
- The five factors that affect your prompt outputs05:13
- Demo: Same prompt, different models03:40
- Activity: Compare outputs between models01:28
- Demo: AI tool memory types06:03
- Activity: Get to know your system memory settings01:51
- The prompting workflow: Define, Prompt, Evaluate, Iterate06:32
Define the job to be done4 lectures • 20min
- Why we define the work before we prompt07:34
- Defining the job to be done05:17
- Defining "good" before you start05:58
- Activity: Define what good looks like for a work task01:14
Write better prompts10 lectures • 55min
- Prompt skill levels: From vague requests to well-defined tasks07:14
- Demo: Three ways to write prompts that improve your outputs09:40
- Demo: Prompt techniques to guide and improve your AI outputs10:30
- Activity: Level up an existing prompt00:51
- The missing pieces that improve all prompts: context and criteria06:27
- Adding and selecting the right data as prompt context08:19
- Activity: Sort the data02:50
- Prompt power moves: Get AI to clarity before answering05:05
- How to choose the right prompting technique03:01
- Activity: Rework your best prompt00:51
Evaluate AI outputs4 lectures • 27min
- Diagnosing what's wrong with outputs by naming the problem07:31
- The most common reasons outputs fail, from easiest to hardest to spot01:19
- Spotting the most common hallucinations in work tasks10:49
- Rewriting prompts to reduce hallucinations07:46
Improve your outputs and prompts (Iteration)4 lectures • 18min
- The iteration loop: Giving specific, actionable feedback to the model11:53
- Activity: Iterate on the prompt00:44
- Using the iteration process helps you write better prompts02:59
- Knowing when to stop iterating and do it without AI02:41
Prompt design and reuse5 lectures • 11min
- Using prompt templates and libraries to make prompting easier03:36
- Using AI to write a prompt02:41
- Using AI to create your own prompt templates and libraries02:19
- Activity: Use AI to create 20 prompts for your job00:35
- Wrap up: Your AI learning journey ahead01:33
From learning to practice
Try this next.
Refine an existing work prompt, compare its outputs and save the checks that improved it.
A useful next step
Choose where to start.
Talk through your goals in a free 30-minute discovery call with Ted. Bring a task you want to improve and the tools you already use.
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