Session

Dynamic AI Prompts in Power Apps: Build a Smart Analysis Engine

Stop hardcoding AI prompts! In this session, you'll learn a powerful pattern for building Power Apps that dynamically select AI prompts at runtime, enabling users to choose their analysis type and receive tailored AI-generated insights with a single button click.

Using a real-world project management solution, I'll demonstrate how to create a "prompt as data" architecture where AI Builder GPT prompts are stored in collections and retrieved based on user selection. This approach transforms static apps into intelligent, configurable tools that citizen developers can extend without modifying code.

What You'll Learn:
• Store multiple AI prompt templates in Power Apps collections
• Build dynamic context strings from SharePoint data to feed AI models
• Integrate AI Builder GPT using the Predict function with variable prompts
• Design user interfaces for analysis type selection and result display
• Apply prompt engineering techniques for structured, actionable outputs

Live Demo:
Watch as we select a project, choose from 6+ analysis types (Risk Assessment, Performance Analysis, Health Check, Stakeholder Update, Recovery Plan), and generate professional AI insights—all in one app, one screen, one button.

Key Takeaway:
A reusable pattern you can apply to ANY domain—sales analysis, HR insights, customer support, operations—wherever dynamic AI analysis adds value.

Whether you're a Power Platform developer adding AI to existing apps or a citizen developer exploring AI Builder, you'll leave with a complete, adaptable blueprint

Stevie Sims

Shell - USGC IDTA and Lead Power Platform Developer

New Orleans, Louisiana, United States

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