Foundations · Lesson 5
Prompt Debugging (Fixing Bad Outputs)
Bad outputs are not random. They usually point to missing instructions. This lesson gives you a simple checklist to diagnose failures and fix prompts fast.
Reading time: ~8 minutes
Level: Beginner
Goal: Repair process
Learning objectives
- Recognise why a prompt failed
- Use a checklist to diagnose missing pieces
- Repair prompts without starting over
- Build confidence and consistency
The core idea
When AI output is wrong, it’s usually because one of the basic prompt components was missing or unclear.
Mindset: don’t blame the AI. Ask: “Which instruction did I forget?”
The debugging checklist
Check these in order:
1) Role missing or unclear?
Fix: set a clear role (e.g. “You are a beginner-friendly instructor…”).
2) Task too broad?
Fix: narrow to one clear job.
3) Constraints missing?
Fix: set tone, length, and rules (e.g. “5 bullets, no jargon”).
4) Output format unspecified?
Fix: demand structure (“checklist”, “steps”, “table”).
5) Task too complex for one prompt?
Fix: switch to step-by-step prompting.
Worked example
Failed prompt
Help me secure my website.
Why it fails
- No role
- Task too broad
- No constraints
- No output format
Repaired prompt
You are a website security advisor. Explain basic website security to a non-technical beginner.
Use a calm, reassuring tone. Limit the answer to 5 bullet points. Avoid jargon. If anything is uncertain, say so clearly.
Same topic. Completely different result.
Quick quiz
Check your understanding. Then you’ve completed Foundations.
1) What does a bad output usually indicate?
2) What should you check first when debugging?
3) When should you switch to step-by-step prompts?
Score: –
Foundations complete ✅
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