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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