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#Agents

18 posts

Fabric as a Backend – Ep.554

August 13, 2026

Fabric as a Backend – Ep.554

Mike has been building apps on Fabric as a backend since January, and he's coining it FAB. The case isn't that you already own Fabric — it's that the workspace identity, git integration, and SQL database remove the wiring you'd otherwise do by hand in Azure.

Crawl, Walk, Run with AI in PBI – Ep.553

August 11, 2026

Crawl, Walk, Run with AI in PBI – Ep.553

Meagan Longoria's five-stage maturity model for agentic Power BI development gives Mike and Tommy a framework to argue with. They mostly agree — except on the crawl stage, where Mike thinks starting with an MCP server beats starting with a chatbot.

Power BI Desktop Bridge – Ep.552

August 6, 2026

Power BI Desktop Bridge – Ep.552

Desktop Bridge gives agents a local server to drive Power BI Desktop — reload files, check report state, and take screenshots so the agent can verify its own work. Mike and Tommy agree on the prerequisite: don't use it without skills.

BI in the Age of AI – Ep.550

July 30, 2026

BI in the Age of AI – Ep.550

Microsoft is a Leader in the 2026 Gartner Magic Quadrant for Analytics and BI — first on execution, fourth on vision. Mike and Tommy read the strengths and cautions closely, and land on why "throw AI at your data and ask it questions" is the wrong story.

Training Staff on Agents for DAX – Ep.549

July 28, 2026

Training Staff on Agents for DAX – Ep.549

A listener watches junior staff prompt their way to DAX they don't understand, and asks how to train them. Mike and Tommy name the three fundamentals they'd require before handing over agentic tooling — and argue the senior's real job is now building the agent that teaches everyone else.

Can We Trust AI Pipelines – Ep.548

July 23, 2026

Can We Trust AI Pipelines – Ep.548

AI-written pipelines don't fail the way human-written ones do — no red squiggles, no thrown exceptions, generous comments, and wrong data. Mike and Tommy work through Nikola Ilic's specify, bound, validate framework and what it means for who you let near an agent.

The Hype of Rayfin – Ep.547

July 21, 2026

The Hype of Rayfin – Ep.547

Mike is deleting paid subscriptions and rebuilding them as Fabric apps; Tommy wants to know who maintains all this and whether enterprise security teams will ever allow it. Plus the licensing discovery of the episode — agents talking to semantic models over XMLA with no Power BI Pro license required.

Agents Helping with Data Governance – Ep.545

July 14, 2026

Agents Helping with Data Governance – Ep.545

Agents will not run your data governance program — most of governance is a committee, not a computer. What they will do is the mundane discoverability work: cataloguing models, surfacing ambiguous definitions, and making lineage human-readable.

Using Harnesses for Fabric Projects – Ep.544

July 9, 2026

Using Harnesses for Fabric Projects – Ep.544

A mailbag question about request tracking turns into the clearest description yet of what a working harness contains: skills, agents, organized context, and the ability to talk to other harnesses. Plus Mike hits real Rayfin limitations trying to build a simple forms app.

Slow AI Adoption – Ep.542

July 2, 2026

Slow AI Adoption – Ep.542

A mailbag question about 30-60-90 day AI plans turns into an honest accounting of why organizations are stuck: IT doesn't know what an agent is, nobody has bought into the value yet, and there is essentially no training. Mike and Tommy separate AI strategy from AI theater and each give a real 30-60-90.

Self Service with AI Part 2 – Ep.540

June 25, 2026

Self Service with AI Part 2 – Ep.540

Part two picks up at the skills and validation layers of Anthropic's analytics stack, and Tommy arrives at a hot take he'll defend: no agentic solution on your Fabric data until governance is in place. Along the way — why perspectives are Power BI's most untapped feature and why Microsoft needs skills for models.

Self Service Analytics with AI – Ep.539

June 23, 2026

Self Service Analytics with AI – Ep.539

Anthropic published how they run self-service analytics internally, and the answer starts with dimensional modeling and a semantic layer — not with the agent. Mike and Tommy read it as validation that everything Power BI professionals already do well is now the thing that makes AI work at all.

Team vs. Individual Skills – Ep.538

June 18, 2026

Team vs. Individual Skills – Ep.538

Agent skills live on your laptop, which is fine until three people on your team each have their own version of the same one. Mike and Tommy work out which skills should be governed, which should stay personal, and why nobody has a good answer yet for measuring whether a skill is any good.

Are We Now Professional QA? – Ep.537

June 16, 2026

Are We Now Professional QA? – Ep.537

If agents write the DAX and the Python, the job shifts from producing code to vetting it — and that makes you a professional reviewer. Mike and Tommy work through what still has to be in your head to review well, and the uncomfortable question of how juniors become seniors when the MCP server is doing the junior's job.

All About Rayfin – Ep.536

June 11, 2026

All About Rayfin – Ep.536

Rayfin lets you build full applications on top of Fabric, and Mike calls it the biggest Microsoft release since Power BI Desktop. This episode covers what Rayfin actually is, why the semantic model matters more than ever, and the handoff problem nobody on your team has solved yet.

Microsoft Build Recap – Ep.535

June 10, 2026

Microsoft Build Recap – Ep.535

Mike and Tommy recap Microsoft Build 2026 through a Power BI and Fabric lens, focusing on the announcements that matter most for report builders, semantic models, and agent-driven app development. They unpack why Rayfin, Replit integration, OneLake, and new Fabric skills signal a shift from asking AI for answers toward using agents to create real production artifacts.

CI/CD Automation with Agents – Ep.534

June 5, 2026

CI/CD Automation with Agents – Ep.534

Mike and Tommy explore how agents can simplify CI/CD in Fabric by helping teams work through Git workflows, merge conflicts, validation, and deployment automation. They also compare deployment pipelines with Git-based approaches and explain why small, testable automations are the safest way to start.

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