Generative AI Tutorial 0/80 lessons ~6 min read Lesson 73
AI Workflow Challenges
Build multi-step AI workflows for real-world problems — these challenges force you to use routers, parallel calls, reflection, and human-in-the-loop.
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Focus
6 guided sections
Practice signal
Examples included
Career prep
Foundation builder
Introduction
Build multi-step AI workflows for real-world problems — these challenges force you to use routers, parallel calls, reflection, and human-in-the-loop.
Understanding the topic
Core concepts to understand:
- Sales-lead enrichment pipeline (CRM → research → score → write to CRM).
- Support ticket triage with auto-reply and escalation.
- Resume → JD matching with a 0–100 score and explanation.
- Document-comparison workflow with diff highlighting.
- Long article → social-media multi-platform repurposer.
Syntax reference
Visual workflow / architecture:
bash
Trigger → Router → branches → Aggregator → Side effects│▼Human gate (optional)
Real-world use
Workflows like these power Clay.com (lead enrichment), Intercom Fin (ticket triage), Apollo.io.
Best practices
- Decompose aggressively — small steps debug easier.
- Always log inter-step state.
Hands-on exercise
Interview preparation — practice these questions:
- Q1. Design a lead-enrichment workflow.
- Q2. Where would you add human gates?
- Q3. How do you handle partial failures?
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