Common AI Prompting Mistakes and How to Fix Them
The most common prompting mistakes that lead to weak AI output, and how to fix each one.
Not scheduled yet — no date, time or fee fixed. The most-voted topic is hosted next.
1:1 or squad batch · join the community or channel
Learn this topic with a mentor
Don't want to wait for the webinar? Pick how you'd like help. Nothing is paid now — you see the fee before anything is booked.
- Bring your own work — code, campaign, report or plan
- Mentor matched to this topic
- Time, format and fee confirmed by email first
What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1Being too vague about the task or audience
- 2Leaving out important context
- 3Asking for too much in one prompt
- 4Not specifying the output format
- 5Accepting the first answer without iteration
- 6Fixing each mistake with before/after examples
Who it's for
- • Beginners and regular AI users
- • Anyone frustrated with AI output
You'd leave with
- A list of common mistakes and fixes
- Improved prompts
- A quick self-check before sending a prompt
More topics in Prompting & AI Usage
Prompt Engineering for Real Work
Prompting techniques built around real work tasks, not toy examples.
0 votes · View topic →
How to Get Reliable Answers From AI
Prompting and verification habits that make AI answers more consistent and dependable.
0 votes · View topic →
How to Verify AI Output Before Using It
A practical checklist for checking AI output — facts, numbers, and logic — before you rely on it.
0 votes · View topic →
Advanced Prompting Techniques
Beyond basic prompting: chaining, role-setting, and other techniques for harder tasks.
0 votes · View topic →
Prompting for Developers
Prompting patterns specifically useful for coding, debugging, and technical documentation tasks.
0 votes · View topic →
Prompting for Business Professionals
Prompting patterns for everyday business tasks — writing, analysis, and planning.
0 votes · View topic →