The Project: Automated Meeting Summarizer Let's build a workflow that turns raw meeting transcripts into actionable task lists. Step 1: Define the System Prompt. 'You are a secretary. Your goal is to extract action items from meeting transcripts.' Step 2: Use Few-Shot examples to show how to format tasks: 'Transcribed: John said he will finish the report. Task: John to finish report.' Step 3: Implement [Iterative Refinement] by asking the model to check its own work: 'After generating the list, check for any missed names or deadlines.' Deployment By standardizing this process, you create a repeatable [Workflow]. Instead of typing a new prompt every time, you now have a template that functions as a micro-application. This is the transition from 'using AI' to 'engineering with AI.' Check OpenAI's Cookbook for more advanced examples of building automated pipelines. FAQs What is an iterative process? It is the practice of refining a prompt based on the failures of previous outputs. Can I automate this without coding? Yes, many no-code platforms like Zapier allow you to input these prompts into workflows. How do I know if the result is accurate? Always maintain a 'Human-in-the-loop' step to verify critical information.
Lesson 5: Building a Complete AI Workflow Project
“Putting it all together into a repeatable system.”
