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.
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Suggested mentor
Ajay Prajapat
AI Systems Architect
15+ years of experience · Ex-Apple
About mentor & skills Visit siteinnovatewithajay.com
About the suggested mentor
Ajay Prajapat
AI Systems Architect
- 15+ years of experience
- Ex-Apple
AI Systems Architect with 15+ years of experience, including building production GenAI systems — RAG pipelines, AI agents, prompt engineering and GenAI architecture. His sessions are hands-on: expect real workflows, live builds and honest trade-offs, not slideware.
Skills & expertise
- AI-assisted Development
- Full-stack Development
- AI Agents
- RAG & MCP
- System Design
- Project Reviews
- Prompt Engineering
- GenAI Architecture
A suggested match for this topic. The trainer and session details will be confirmed when the webinar is scheduled.
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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
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