Tutorials Prompt Engineering Tutorial
AI Email Automation — Complete Guide
AI Email 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 64 of 100
AI Email Automation
Prompts ✓ → Apps
Apps · 2 — RAG & agents · ~10 min · Module 7: AI Automation
What is this?
Email automation drafts, classifies, and routes messages — with threading context, signature rules, and no-send-without-review for sensitive topics.
Why should you care?
PromptVerse Email Agent parses threads, classifies intent, drafts reply from KB, queues for rep.
See it live — copy this example
Copy the prompt into ChatGPT, Claude, or your LLM API playground and compare outputs.
thread = fetch_gmail_thread(id)
intent = llm_classify(thread.latest)
if intent in ["legal","exec_escalation"]: route_human
else:
draft = llm_draft(thread, kb_search(intent))
queue_draft(rep_id, draft)What happened?
- Thread object preserves subject history.
- Hard route for legal bypasses LLM send path entirely.
Practice next
- Parse one email thread to structured object.
- Classify latest message.
- Draft with top 3 KB chunks.
- Include customer tier in prompt vars.
- Cap draft at 150 words.
Remember
Thread-aware prompts. Hard routes for sensitive intents. Draft ≠ send.
Support inbox
Rep gets draft in 30 seconds.
Outcome: Handle time drops; legal never auto-sent.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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