How to Get Reliable Answers From AI
Prompting and verification habits that make AI answers more consistent and dependable.
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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.
- 1Why AI answers vary and sometimes go wrong
- 2Giving enough context and specifying the source
- 3Asking the AI to show assumptions and uncertainties
- 4Cross-checking with sources or a second approach
- 5Recognising warning signs of unreliable answers
- 6A reliability routine for important questions
Who it's for
- • Everyday AI users
- • Professionals relying on AI for research or decisions
You'd leave with
- A reliability routine
- Warning signs to watch for
- Prompting habits that improve consistency
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