Tutorials Prompt Engineering Tutorial
AI Content Generator — PromptVerse Project
AI Content Generator — 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 94 of 100
AI Content Generator
Prompts ✓ → Apps
Apps · 2 — RAG & agents · ~10 min · Module 10: Real-World AI Projects
What is this?
PromptVerse Content Generator produces on-brand blog sections from brief + brand kit with outline-first workflow.
Why should you care?
Marketing ships drafts faster while legal sees structured sections for review.
See it live — copy this example
Copy the prompt into ChatGPT, Claude, or your LLM API playground and compare outputs.
SYSTEM: Brand voice from BRAND_KIT. No unverified statistics. Outline before body.
USER: BRIEF: topic, audience, CTA BRAND_KIT: (tone, banned phrases)
EXPECTED: { outline: string[], section_drafts: { h2: string, body: string }[], cta: string, flags: string[] }
What happened?
- Outline array comes first in expected shape.
- flags lists self-check issues (e.g., MISSING_CTA) for review queue.
Practice next
- Fill minimal brand kit.
- Generate outline only pass.
- Expand one H2.
- Add word_count per section.
- Banned phrase triggers flag.
Remember
Outline then sections. Brand kit in system. Self-check flags.
Blog launch
PM needs 800-word post by EOD.
Outcome: Outline approved at 2pm; sections draft by 4pm.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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