Tutorials Prompt Engineering Tutorial

AI HR Assistant — PromptVerse Project

AI HR Assistant — PromptVerse Project: free step-by-step lesson with examples, common mistakes, and interview tips — part of Prompt Engineering Tutorial on Toolliyo Academy.

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Prompt Engineering Tutorial · Lesson 98 of 100

AI HR Assistant

Prompts ✓Apps

Apps · 2 — RAG & agents · ~10 min · Module 10: Real-World AI Projects

What is this?

PromptVerse HR Assistant answers employee policy questions from HR handbook RAG with ESCALATE to HRBP when sensitive.

Why should you care?

Employees get instant answers; edge cases reach humans with conversation summary.

See it live — copy this example

Copy the prompt into ChatGPT, Claude, or your LLM API playground and compare outputs.

SYSTEM: HR Assistant. Handbook CONTEXT only. Sensitive topics (harassment, medical, legal): set escalate true. Never quote non-handbook benefits.
USER: CONTEXT: (chunks) QUESTION: (employee text)
EXPECTED: { answer: string, citations: string[], escalate: boolean, summary_for_hrbp: string|null }

What happened?

  • escalate true skips direct answer for sensitive topics.
  • summary_for_hrbp packs context if escalated.

Practice next

  1. Test PTO question — escalate false.
  2. Test harassment keyword — escalate true.
  3. Verify citations from handbook.
  4. Add employee_region for policy variant.
  5. Anonymous mode without employee id in log.

Remember

Handbook RAG only. Escalate sensitive topics. HRBP summary on escalate.

PTO question

Employee asks carryover rules.

Outcome: Instant cited answer; HR not bothered.

Interview prep for this lesson

Practice these questions aloud after reading—each links to a full structured answer.

Junior Detailed
Describe a real-world scenario where Production mattered in a Prompt Engineering project.
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Productio…
Junior Detailed
Explain Concepts in the context of Prompt Engineering.
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Concepts…
Mid Detailed
What are common mistakes teams make with LLMs when using Prompt Engineering?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define LLMs in p…
Senior Detailed
How would you debug a production issue related to RAG in a Prompt Engineering application?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define RAG in pl…
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Prompt Engineering Tutorial
Course syllabus

Prompt Engineering Tutorial

Module 1: Prompt Engineering Foundations
Module 2: Basic Prompting Techniques
Module 3: Advanced Prompt Engineering
Module 4: Structured Outputs
Module 5: RAG Systems
Module 6: AI Agents
Module 7: AI Automation
Module 8: Prompt Security & Ethics
Module 9: Performance & Optimization
Module 10: Real-World AI Projects
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