Prompting Course: Basics · 1 min read
Test and improve your prompt
Iteration: one change at a time, clear test questions, and a simple ready-to-go checklist.
Section 4: Test and improve your prompt
Section titled “Section 4: Test and improve your prompt”Learning objectives
- Understand that prompting is a process, not a one-time event
- Test systematically with different types of questions
- Make simple, measurable improvements
Your first prompt is rarely perfect – and that’s completely fine. Think of it like writing: draft → clarify → polish.
Why must you test?
- Interpretation – the same prompt can behave differently in different situations.
- Blind spots – what was “obvious” to you isn’t necessarily obvious to the model.
- Small changes – a single sentence or example can dramatically shift quality.
Simple four-step process
- Write v1 with the five pillars (or your short template).
- Test with a simple question, a vague question, and something out of scope.
- Note tone, length, correctness, and how “don’t know” is handled.
- Change one thing, test again – repeat.
Example: from too technical to just right
V1
ROLE: You are an IT support specialist.TASK: Help with IT questions.The prompt is the problem, not the answer. It is too short and too vague — it says nothing about who is asking, how long the answer should be, or what level of language applies. The result follows: the assistant answers technically and at length, because that is what “IT questions” looks like on average in the training data.
V2
ROLE: You are a pedagogical IT support specialist.TASK: Help employees with IT questions using simple step-by-step instructions.RULES: Max 100 words. Avoid technical jargon unless specifically requested.TONE: Friendly and encouraging.Same task — but now the assistant knows who it is answering, how long, and at what level.
When is the prompt "good enough"?
Quick checklist:
- Does it handle common questions you care about?
- Is the tone consistent?
- Do responses follow the format?
- Does it handle unknowns without making things up?
No prompt is “done” forever – models and needs change.
Summary
Section titled “Summary”- Iteration is the norm.
- Test varied, change narrowly, measure the effect.
- Especially ensure rules for missing information and scope.
Test your knowledge
Question 1 of 2
You test your prompt and notice the AI responds too technically and too long. What's the most logical next step according to the course?