Curiosity, Creativity, and Chemistry: How I Stopped Copiloting and Started Collaborating - with James Bartlett

LIVESTREAM DATE/TIME 📅

June 11th 2026 - 9:30 AM (Pacific Time)

DESCRIPTION 📄

Most people use AI assistants like fancy search engines, and the results often leave much to be desired. But James Bartlett isn't most people. He has a personal AI agent named Cray, whom he treats more like a junior colleague, and they have racked up some interesting and impressive achievements together. Cray runs 24/7 on James's home server, managing scheduled jobs, helping James with otherwise boring and repetitive tasks, and building dozens of tools (including an entire PowerShell MCP framework) during unsupervised nightly "innovation sessions."

In this conversation with Reid Havens, James pulls back the curtain on what daily life with an AI partner actually looks like: the good, the weird, the genuinely useful, the unexpectedly wholesome, and the parts that honestly still need some work. If you've wondered what's beyond "prompt engineering," this is that conversation.

GUEST BIO (James Bartlett) 👤

James D. Bartlett III is a Microsoft Data Platform MVP, co-host of The Drill Down with Ahmad & James podcast, and an unapologetic PowerShell enthusiast. By day, he helps organizations wrangle Microsoft Fabric and Power BI at P3 Adaptive, and by night, he tinkers with open-source software projects, home automation, vintage audio gear, local LLMs, and an AI agent named Cray who lives on his LAN and builds handy tools while he sleeps.

Introducing the NEW Tabular Editor CLI - with Peer Grønnerup

LIVESTREAM DATE/TIME 📅

May 29th 9:30 AM (Pacific Time)

DESCRIPTION 📄

Command line tools have a reputation problem. People hear "CLI" and either tune out or assume they need to be a DevOps engineer to get any value out of it. For most semantic model developers, that's been the story for years.

The new standalone Tabular Editor CLI changes that. You don't need to live in the terminal to automate validation, deployment, and testing across your tabular models. You just need a starting point.

In this livestream Peer will be walking through the new CLI from scratch: what it is, why it matters for Power BI and Fabric work, and how it fits into the rest of your workflow (AI agents included, if that's your flavor). We'll cover:

• What the Tabular Editor CLI actually does

• Local setup with zero prior CLI experience

• Using AI agents to generate and run commands for you

• Automating model validation, testing, and deployment

• Wiring it into CI/CD without breaking everything No prior command line experience required.

If you've been CLI-curious but didn't know where to start, this one's for you.

GUEST BIO (Peer Grønnerup) 👤

Peer is a Data & AI professional with 15+ years of experience in BI, semantic modeling, and data platform automation. As Head of Engineering at Tabular Editor, he focuses on building tools and features that help teams create better data models faster, with a strong emphasis on automation, developer experience, and CI/CD, including leading the development of the new Tabular Editor CLI.

RELATED CONTENT 🔗

Peer's Blog
Peer's GitHub
TE CLI Release

Vibe Coding a Desktop Tool with AI

Video by: Reid Havens

This project was built almost entirely using Claude Code through pure vibe coding. No detailed specs.

No formal architecture. Just me giving the LLM ideas, screenshots, and plain-English requests until a real desktop tool existed. In this video, I walk through the Desktop Widget Wall I built and focus on the art of the possible, not the implementation details. This is a non-technical walkthrough meant to show how far you can go when you treat an LLM like a creative collaborator instead of a code generator.

You’ll see how:

• An idea turns into a working desktop tool

• Screenshots and rough concepts become real UI

• AI can iterate on structure, layout, and behavior - “Vibe coding” can replace traditional dev workflows for small tools

• You can prototype software without writing much code yourself This isn’t a tutorial and it’s not a “how to prompt” video.

It’s a real example of what happens when you lean into AI-assisted building and let the tool do the heavy lifting. If you’re curious about rapid prototyping, personal tooling, or what modern LLMs can actually build, this should give you plenty of ideas.

RELATED CONTENT 🔗

Widget Wall Repo

A Generated Report: How AI can make Dashboards - with Injae Park

LIVESTREAM DATE/TIME 📅

January 9th 2026 — 9:30AM (Pacific Time)

DESCRIPTION 📄

This session explores how AI can be applied to the creation and modification of Power BI visuals, focusing on the different levels at which AI tools can interact with reports and models. The session looks at emerging patterns in how AI is being used across the Power BI development lifecycle, and where each approach is most effective.

We Will Cover

• Using web-based LLMs for fast iteration, ideation, and visual exploration

• Using MCP-style setups to interact with and modify the semantic model

• The trade-offs between speed, control, and reliability across these approaches

• How to choose the right level of AI involvement for different scenarios

This will be a discussion of a few examples of how the technology is moving at a rapid pace, and how that will affect and enable Power BI Developers

GUEST BIO 👤

Injae Park is a Microsoft Data Platform MVP who combines his technical expertise with a passion for teaching by sharing his insights and practical tips through his YouTube channel @PowerBIPark. Injae's content ranges from beginner tutorials to advanced techniques, and as part of the Power BI Core Visual Representatives - he aims to bridge the MS Developer team with the Power BI community. His education in psychology and economics as well as his experience in consulting gives him a well-rounded perspective on the Power BI Developer experience, making his tutorials both engaging and accessible.

RELATED CONTENT 🔗

Injae's Website
Injae's LinkedIn
Injae's YouTube