Concept
Prompt engineering is the practice of crafting and refining instructions to get better outputs from a generative AI model.
| Type | Concept |
|---|---|
| Wikipedia | en.wikipedia.org/wiki/Prompt_engineering |
2025-11-03 · Video on YouTube
The “perfect prompt” is a myth. Pros don’t one-shot Copilot; they iterate. They feed just-enough context, set deliberate tone, and refine in short loops until output matches business reality. With Microsoft 365 Copilot, grounded responses come from your Graph…
2026-04-25 · Video on YouTube
This episode argues that most organizations misunderstand Microsoft Copilot by treating it as a prompt-driven assistant instead of a deeper execution architecture. The speaker introduces the idea of a “Copilot coworker” or “cowork engine,” where AI operates…
2025-11-09 · Video on YouTube
AI inside the Microsoft Power Platform isn’t just about 'Copilot writes formulas' anymore. In 2025, Microsoft introduced four innovative capabilities that transform how apps, data, and automation are developed: Dataverse Prompt Columns, AI Form Filler / Form…
2026-05-31 · Video on YouTube
he era of prompt engineering is ending. While organizations have spent years teaching employees how to write better AI prompts, this approach creates inconsistent results, limits scalability, and keeps humans trapped in every workflow step. Instead of relying…
2026-08-14 · Video on YouTube
What happens when AI agents become the whole software team? Mirko Peters talks with Mark Smith (NZ365Guy) about his OpenClaw-based AI software factory, Ralph loops, governance and why context engineering matters more than prompts. A practical look ahead for…
2026-07-16 · Video on YouTube
Microsoft AI Agent Harness is the runtime layer that transforms a large language model into a capable AI agent. While an LLM can generate text, an agent harness provides everything needed to complete real work—planning tasks, calling tools, managing memory…
2026-08-21 · Video on YouTube
Once organizations use Copilot seriously, the question shifts from writing better prompts to connecting Copilot with business data, APIs and processes. In this conversation, Microsoft MVP Yves Habersaat explains Copilot extensibility, agent architecture, MCP…
2026-07-06 · Video on YouTube
Artificial Intelligence is evolving far beyond single prompts and chatbots. In this episode of the M365 FM Podcast, Mirko Peters speaks with Microsoft MVP Reshmee Auckloo about how organizations can design enterprise-grade multi-agent AI solutions using…
2026-06-27 · Video on YouTube
In this episode of M365.fm, we explore why the future of enterprise AI is moving beyond chatbots toward a coordinated network of intelligent agents known as the Agent Fabric. Instead of relying on a single Copilot to answer questions, organizations can build…
2025-11-27 · Video on YouTube
Why do so many Microsoft 365 Copilot projects fail — even when the prompts look fine? In this episode, we explain why the real issue is not prompt engineering, but context engineering. Most AI failures are not model failures. They are context failures. When…
2026-07-30 · Video on YouTube
Many companies buy Copilot licenses and still struggle to see real productivity gains. In this conversation, Microsoft MVP and LinkedIn Learning instructor Jess Stratton shares how business users and adoption leads can move beyond prompt engineering. Learn…
2026-07-13 · Video on YouTube
Microsoft Agent Builder makes it possible to create custom AI agents without writing code, allowing business users to extend Microsoft 365 Copilot with organization-specific knowledge and instructions. In this episode of the M365 FM Podcast, Mirko Peters…
It creates inconsistent results, limits scalability and keeps humans trapped in every workflow step. · From the episode: How to Build a Microsoft Copilot Agent Fabric
According to the episode, context engineering is becoming more important than basic prompt engineering as agents and multiple models need the right context to work. · From the episode: The Future of AI Software Factories- OpenCLAW…
Because the model is only the engine. Without the surrounding system, the episode says, the agent will fail on real tasks. The harness is the next evolution beyond prompt engineering. · From the episode: Microsoft AI Agent Harness - Simply Explained
The episode says Microsoft AI Foundry brings the harness idea to life for real businesses. The harness turns language models into agents that can execute tasks and manage conversations, as the next step beyond prompt engineering. · From the episode: Microsoft AI Agent Harness - Simply Explained
No. It helps employees get more from generative AI, but enterprise solutions also need architecture, security, data and business application knowledge, and humans who validate whether the solution actually solves the requirement. · From the episode: Extending Microsoft 365 Copilot
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Maintained by Mirko Peters (Microsoft MVP) · Last updated:
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