About Matt

Matt McGuire is a Salesforce architect, AI builder, and punk musician based in Toronto. Canada's #1 certified Salesforce professional, 43× certified across architecture, development, AI, and a wide range of platform products. He's been building on Salesforce for 17 years and currently spends most of his time at the intersection of AI and the platform. The Music Intelligence Engine is his most interesting project to date. He thinks you should read the whole series.

2707, 2026

Salesforce Is Still Part Of The Conversation. It Is No Longer The Boundary.

Matt/ July 27, 2026/ Architecture, Enterprise Architecture, Platform Modernization

Why deep platform expertise should become a foundation for broader enterprise architecture, not a permanent boundary. This article is part of the Modernizing The Enterprise Platform series, which uses Salesforce as the evidence base for a broader discussion about enterprise architecture, AI, data, integration, identity, security, governance, DevOps, and operating models in mature enterprise platforms. My Summer ’26 Salesforce security

2207, 2026

The AI Did Not Go Rogue. The Evaluation Boundary Failed.

Matt/ July 22, 2026/ AI, Governance, Security

The Hugging Face incident is a warning about how we authorize autonomous systems, not proof that models have human intent. When I first saw the Reuters framing of the Hugging Face incident, I understood why the phrase “went rogue” was used, and I also wondered whether it would make the story harder to understand. OpenAI was running an internal cyber

0607, 2026

What Changes When AI Becomes Infrastructure

Matt/ July 6, 2026/ AI, Technology

A LinkedIn post crossed my feed recently discussing the backlash surrounding Anthropic’s suspension of access to Fable 5. Most of the post was fairly standard commentary on AI adoption, but one sentence caught my attention: “Once AI becomes part of someone’s daily workflow, restricting a capability isn’t just a product decision. It’s a trust decision.” The more I thought about

2006, 2026

AI and the Governance Trap We’ve Seen Before

Matt/ June 20, 2026/ AI, Technology

One of the most common concerns I hear whenever AI regulation comes up is that governments are going to overreact. It’s not an unreasonable concern. History contains plenty of examples of regulations that created unintended consequences, slowed innovation, protected incumbents, or failed to keep pace with technological change. Anyone working in technology long enough has encountered policies that made little

1706, 2026

What AI Has in Common With Pharmaceuticals

Matt/ June 17, 2026/ AI, Technology

Over the last year, I’ve noticed two very different conversations taking place around artificial intelligence. The first is the conversation most people are familiar with. New models are released, benchmark scores improve, businesses experiment with adoption, and headlines focus on capabilities. Depending on who you ask, AI is either going to dramatically increase productivity, eliminate entire categories of jobs, transform

1406, 2026

When AI Stops Being Just Another Software Product

Matt/ June 14, 2026/ AI, Technology

When I first read Anthropic’s response to the US government’s decision to suspend access to Fable 5 and Mythos 5, my initial reaction was probably the same as most people in the technology industry: what exactly happened here? The public details remain limited. Anthropic claims the government has identified a narrow jailbreak technique and that the demonstrated capabilities are not

0705, 2026

The Agent: Three Layers of Intelligence for Smarter Playlist Pitching

Matt/ May 7, 2026/ Agentforce, AI, Development, Integration, Music, Projects, Salesforce

I Built an AI Music Promotion Agent Inside My CRM – Here’s What It Can Actually DoThere’s a moment every independent artist knows well. You’re staring at a spreadsheet – or a Notion doc, or a pile of emails – trying to figure out which playlist curator to pitch next. You’ve got ten tracks. There are thousands of playlists. Some

0505, 2026

The Fit Score: Ranking 3,500 Playlists So You Don’t Have To

Matt/ May 5, 2026/ Agentforce, AI, Development, Integration, Music, Projects, Salesforce

Every playlist submission is a bet. You’re wagering your time, your relationship with a curator, and sometimes money on the belief that your track belongs on their playlist. Most of the time you’re guessing -scrolling through playlists, listening to a few tracks, going with your gut. This post is about replacing that guess with a number. The Problem With “Good

3004, 2026

3,500 Moving Targets: Building the Playlist Snapshot Pipeline

Matt/ April 30, 2026/ Agentforce, AI, Development, Integration, Music, Projects, Salesforce

The track pipeline was the proof of concept. Download a preview, run the analysis, write thirteen numbers back to Salesforce. Repeat for every track in the catalog. The playlist pipeline is a different problem entirely. To score a submitted track against a playlist, I need to know what the playlist actually sounds like — not just its name and follower

2804, 2026

The Emotional Geometry of Playlists: From Thirteen Features to Three Scores

Matt/ April 28, 2026/ Agentforce, AI, Development, Integration, Music, Projects, Salesforce

The last post ended with thirteen audio features computed from a 30-second preview clip. Energy. Danceability. Valence. Acousticness. Tempo. Key. Mode. And six more. That’s a lot. Too many for the Scoring Engine to reason about directly, in fact. If the goal is to decide whether a submitted track fits a playlist, I can’t ask the Scoring Engine to reason