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Master Power Platform AI: the 4 new tools changing everything
Season 1
Published 5 months, 1 week ago
Description
(00:00:00) The AI Revolution in Microsoft Power Platform
(00:00:50) Data Verse: AI-Powered Data Intelligence
(00:05:27) Form Filler: AI-Driven Data Entry Automation
(00:11:23) Generative Pages: AI-Generated UI Components
(00:17:56) Copilot Agents: Modular AI Orchestration
(00:23:38) The Future of Microsoft Power Platform
In this episode of M365.fm, Mirko Peters breaks down four new Power Platform AI tools—Dataverse Prompt Columns, Form Filler, Generative Pages, and Copilot Agents—and explains why they completely change how apps, data, and automation are built. Instead of writing brittle formulas and flows, you use natural‑language prompts to add reasoning directly into Dataverse, auto‑populate model‑driven forms from emails and screenshots, and let apps and pages effectively start building themselves. You will learn how Prompt Columns turn tables into active dataintelligence, running context‑aware checks and generating content, while Form Filler kills manual data entry by extracting entities from semi‑structured inputs and mapping them into clean, governed dataverse records
Mirko then explores how Generative Pages and next‑gen low‑code patterns move you from static forms to selfbuildingapps that assemble layouts and experiences from semantic intent instead of dragging controls by hand. He shows how Copilot Agents add an orchestration layer on top: agents that understand business context, call tools, and delegate tasks across Power Apps, Power Automate, and external systems using copilotagents and model‑driven reasoning. Together, these four tools blur the line between “app designer” and “prompt engineer,” shifting your job from wiring fields to shaping semanticdata and guardrails.
You also get concrete examples you can copy into your own tenant: Prompt Columns that generate Teams welcome posts from HR data, Form Filler that converts onboarding emails into structured records, and Generative Pages that assemble next‑gen modeldriven experiences with almost no manual layout work. Mirko highlights common mistakes—treating Prompt Columns like formulas, skipping context fields in prompts, overloading Form Filler with messy inputs—and shows how to structure prompts, schemas, and governance so these features remain auditable and futureproof.
By the end of the episode, you will see why “learning AI in Power Platform” really means learning how to design prompts, data shapes, and governance patterns that let Microsoft’s models do the heavy lifting. If you are a Power Apps maker, architect, or Center of Excellence lead, this conversation gives you a playbook for moving from manual forms and flows to nextgenlowcode patterns where apps, pages, and validations largely auto‑populate themselves.
WHAT YOU WILL LEARN
(00:00:50) Data Verse: AI-Powered Data Intelligence
(00:05:27) Form Filler: AI-Driven Data Entry Automation
(00:11:23) Generative Pages: AI-Generated UI Components
(00:17:56) Copilot Agents: Modular AI Orchestration
(00:23:38) The Future of Microsoft Power Platform
In this episode of M365.fm, Mirko Peters breaks down four new Power Platform AI tools—Dataverse Prompt Columns, Form Filler, Generative Pages, and Copilot Agents—and explains why they completely change how apps, data, and automation are built. Instead of writing brittle formulas and flows, you use natural‑language prompts to add reasoning directly into Dataverse, auto‑populate model‑driven forms from emails and screenshots, and let apps and pages effectively start building themselves. You will learn how Prompt Columns turn tables into active dataintelligence, running context‑aware checks and generating content, while Form Filler kills manual data entry by extracting entities from semi‑structured inputs and mapping them into clean, governed dataverse records
Mirko then explores how Generative Pages and next‑gen low‑code patterns move you from static forms to selfbuildingapps that assemble layouts and experiences from semantic intent instead of dragging controls by hand. He shows how Copilot Agents add an orchestration layer on top: agents that understand business context, call tools, and delegate tasks across Power Apps, Power Automate, and external systems using copilotagents and model‑driven reasoning. Together, these four tools blur the line between “app designer” and “prompt engineer,” shifting your job from wiring fields to shaping semanticdata and guardrails.
You also get concrete examples you can copy into your own tenant: Prompt Columns that generate Teams welcome posts from HR data, Form Filler that converts onboarding emails into structured records, and Generative Pages that assemble next‑gen modeldriven experiences with almost no manual layout work. Mirko highlights common mistakes—treating Prompt Columns like formulas, skipping context fields in prompts, overloading Form Filler with messy inputs—and shows how to structure prompts, schemas, and governance so these features remain auditable and futureproof.
By the end of the episode, you will see why “learning AI in Power Platform” really means learning how to design prompts, data shapes, and governance patterns that let Microsoft’s models do the heavy lifting. If you are a Power Apps maker, architect, or Center of Excellence lead, this conversation gives you a playbook for moving from manual forms and flows to nextgenlowcode patterns where apps, pages, and validations largely auto‑populate themselves.
WHAT YOU WILL LEARN
- How Dataverse Prompt Columns turn static fields into reasoning‑driven promptcolumns powered by Copilot.
- How AI Form Filler removes manual data entry by auto‑populating smartforms from emails, text, and screenshots.
- How Generative Pages and model‑driven design create selfbuildingapps from semantic intent, not drag‑and‑drop.
- How Copilot Agents orchestrate automation across Power Apps, Power Automate, and external systems with real context.
- How to apply governance, DLP, and prompt best practices so these tools stay auditable, reliable, an