Prompt Workflows

Introduction

Enterprise prompt workflows chain prompts, tools, evals, and approvals into auditable pipelines.

Beginner analogy: Like a manufacturing line — every station logged, every output inspected.

Understanding the topic

Core concepts to understand:

• Steps: ingest → classify → enrich → generate → validate → approve → deliver.
• Each step logged with prompt version, model, cost, latency.
• Human approval at high-stakes steps.
• Frameworks: LangGraph, Temporal, n8n + LLM nodes.

Syntax reference

Visual workflow / architecture:

Ingest → Classify → Enrich (RAG) → Generate → Validate → Human review → Deliver

Real-world use

Banking AI, insurance claims, healthcare scribes — all run as enterprise prompt workflows.

Best practices

• Log everything; audit trails are gold.
• Idempotent steps; retry-safe.
• Human checkpoints at risk thresholds.

Hands-on exercise

Interview preparation — practice these questions:

• Q1. What is an enterprise prompt workflow?
• Q2. Where put human checkpoints?
• Q3. Why idempotency?
• Q4. Frameworks?