Tutorials Prompt Engineering Tutorial
AI Research Assistant — PromptVerse Project
AI Research 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 95 of 100
AI Research Assistant
Prompts ✓ → Apps
Apps · 2 — RAG & agents · ~10 min · Module 10: Real-World AI Projects
What is this?
PromptVerse Research Assistant answers from hybrid search with sentence-level citations — no fabricated references.
Why should you care?
Analysts trust answers when every sentence maps to a source_id.
See it live — copy this example
Copy the prompt into ChatGPT, Claude, or your LLM API playground and compare outputs.
SYSTEM: Research Assistant. Each sentence must end with [source_id]. If no source supports a claim, omit sentence.
USER: QUERY: (question) SOURCES: (numbered chunks with source_id)
EXPECTED: { answer_paragraphs: string[], sources_used: string[], confidence: "high|medium|low" }
What happened?
- Per-sentence citation rule in system.
- sources_used lists ids for UI footnotes.
- confidence reflects retrieval strength.
Practice next
- Provide 5 numbered sources.
- Ask question answerable from 2.
- Verify no extra sources cited.
- Add contradicting sources rule.
- Return bullet summary for exec mode.
Remember
Inline citation every sentence. Omit unsupported claims. Confidence reflects retrieval.
Competitive scan
PM asks feature parity question.
Outcome: Answer cites 3 internal research notes; zero fabrications.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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