Module 5: Building Your First AI Workflow

From Prompts to Processes

You now know how to write effective prompts. But a single prompt is like a single tool -- useful, but limited. The real power comes when you chain AI tasks together into workflows that transform how you work.

A workflow is a repeatable sequence of steps that takes an input and produces a consistent output. When you add AI to a workflow, you are not just speeding up one step -- you are potentially redesigning the entire process.

Anatomy of an AI Workflow

Every AI workflow has these components:

1. Trigger: What starts the workflow? (An email arrives, a form is submitted, it is Monday at 9am, a file is uploaded)
2. Input Processing: What data needs to be gathered or formatted before AI can work on it?
3. AI Task(s): What does the AI do? (Summarize, generate, analyze, classify, translate)
4. Human Review Point: Where does a human check the output? (This is non-negotiable for anything external-facing)
5. Output/Action: What happens with the result? (Send email, update spreadsheet, create document, notify someone)

Five Workflows You Can Build This Week

Workflow 1: The Meeting Summarizer

• Trigger: Meeting recording is saved
• Step 1: Transcribe audio using Whisper or built-in transcription
• Step 2: AI summarizes transcript into key decisions, action items, and follow-ups
• Step 3: You review the summary (2 minutes vs. re-watching a 60-minute meeting)
• Step 4: Summary is emailed to attendees

Workflow 2: The Content Repurposer

• Trigger: You publish a blog post or article
• Step 1: AI extracts the 3 key takeaways
• Step 2: AI generates a LinkedIn post, a Twitter thread, and an email newsletter snippet
• Step 3: You review and adjust each piece
• Step 4: Schedule posts across platforms

Workflow 3: The Customer Inquiry Classifier

• Trigger: New customer email or form submission arrives
• Step 1: AI classifies the inquiry (sales, support, billing, partnership, spam)
• Step 2: AI drafts an appropriate initial response
• Step 3: Routed to the right team member with the draft
• Step 4: Team member reviews, edits if needed, and sends

Workflow 4: The Weekly Report Generator

• Trigger: Every Friday at 3pm
• Step 1: Pull data from your tracking tools (sales numbers, project status, metrics)
• Step 2: AI generates a narrative summary with highlights, concerns, and recommendations
• Step 3: You review and add personal commentary
• Step 4: Report is formatted and distributed

Workflow 5: The Research Assistant

• Trigger: You need to learn about a new topic or evaluate a vendor
• Step 1: AI generates a structured research plan (what to look for, what questions to answer)
• Step 2: You gather information (articles, websites, documents)
• Step 3: AI synthesizes your gathered information into a comparison matrix or summary
• Step 4: You make the decision with a clear, organized view of the options

Building Without Code

You do not need to be a programmer to build AI workflows. Tools like Zapier, Make, and even the built-in automation features in Microsoft 365 and Google Workspace let you connect AI steps to your existing tools.

The key is thinking in terms of:

• "When THIS happens" (trigger)
• "Do THIS with AI" (process)
• "Then put it HERE" (output)

The Iteration Mindset

Your first workflow will not be perfect. That is expected. The process is:

1. Build the simplest possible version
2. Run it 5-10 times on real tasks
3. Note where the AI output needs the most editing
4. Improve the prompts at those weak points
5. Run it again and compare

Within 2-3 iterations, you will have a workflow that saves measurable time.

Your Deliverable: A Working Workflow

1. Choose one of the 5 workflows above (or design your own based on your tasks from Module 1).
2. Map it out step by step using the trigger-process-review-output format.
3. Use the Sandbox to build and test the AI steps. Write the prompts for each AI task in your workflow. Test them with realistic inputs.
4. Run the complete workflow manually at least once end-to-end, even if you are doing each step by hand for now.
5. Document what worked and what needs improvement. This becomes part of your Module 6 capstone.