Tutorials Prompt Engineering Tutorial
AI Marketing Automation — Complete Guide
AI Marketing Automation — Complete Guide: 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 67 of 100
AI Marketing Automation
Prompts ✓ → Apps
Apps · 2 — RAG & agents · ~10 min · Module 7: AI Automation
What is this?
Marketing automation generates variants, subject lines, and segment copy from brand kit + audience attributes — under claim guardrails.
Why should you care?
PromptVerse Campaign node produces 3 subject lines scored for spam triggers and brand voice.
See it live — copy this example
Copy the prompt into ChatGPT, Claude, or your LLM API playground and compare outputs.
brand = load_brand_kit(tenant)
for segment in ["smb","enterprise"]:
subjects = llm("3 subjects under 50 chars", { brand, segment, offer })
filter = moderation + banned_phrases_check(subjects)What happened?
- Segment in prompt vars changes angle.
- moderation + banned_phrases prevent off-brand or risky claims.
Practice next
- Load real brand banned phrase list.
- Generate 3 subjects per segment.
- Run moderation filter.
- Add emoji policy in instructions.
- Require CTA verb in each variant.
Remember
Brand kit in system context. Segment-aware prompts. Moderation before schedule send.
Launch email
Product launch needs 6 variants fast.
Outcome: Filtered subjects pass legal in one round.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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