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Prompt Systems and Workflow Design

A $50 course on designing repeatable prompt systems instead of one-off prompts. Covers reusable instruction blocks, context packaging, output schemas, review loops, examples, failure capture, and handoff-ready workflow specs. Includes practical templates for support, research, sales, admin, and content workflows. Core sources: - https://platform.openai.com/docs/guides/prompt-engineering - https://platform.openai.com/docs/guides/structured-outputs - https://platform.openai.com/docs/guides/evals

Curriculum

  1. 1.
    Prompt systems, not prompt tricks
    Why durable AI workflows use roles, constraints, examples, source context, success criteria, and review loops.
  2. 2.
    Context packaging
    How to provide source material, task state, customer constraints, and business rules without overloading the model.
  3. 3.
    Structured outputs
    How schemas, checklists, and predictable output shapes make automation safer to connect to downstream tools.
  4. 4.
    Example libraries
    Building reusable examples for tone, classification, extraction, summarization, routing, and escalation decisions.
  5. 5.
    Failure notebooks
    Capturing bad outputs, root causes, and revised prompts so the workflow improves over time.
  6. 6.
    Prompt handoff spec
    Turning a working prompt into documentation another operator can run, test, and improve.