Tutorials Prompt Engineering Tutorial
AI Workflow Automation — Complete Guide
AI Workflow 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 59 of 100
AI Workflow Automation
Prompts ✓ → Apps
Apps · 2 — RAG & agents · ~10 min · Module 6: AI Agents
What is this?
AI workflow automation embeds LLM steps into business automations — triggers, conditions, actions — with humans where needed.
Why should you care?
PromptVerse Automation Builder adds "LLM classify" blocks next to HTTP and delay steps.
See it live — copy this example
Copy the prompt into ChatGPT, Claude, or your LLM API playground and compare outputs.
trigger: form_submit
if llm_classify(message).intent == "demo_request":
crm.create_lead
llm_draft_welcome_email
human_approve
send_emailWhat happened?
- LLM blocks output structured intent.
- CRM and email are deterministic code.
- human_approve gates outbound.
Practice next
- Replace one regex rule with classify block.
- Compare accuracy.
- Add approve gate on external send.
- Add delay 1h then follow-up draft.
- Fallback rule if LLM times out.
Remember
LLM for judgment, code for IO. Human approve external actions. Version prompts in automation.
Demo request flow
Website form floods sales.
Outcome: Automation drafts personal reply; AE approves.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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