We Didn't AI This Episode: Practical LLMs, Workflow Hacking, and Data Clutter (Episode 87)

Are you actively leveraging artificial intelligence to eliminate front-office friction, or are you still standing on the sidelines overwhelmed by the hype? In Episode 87, Chad (Loc-Doc Security), Tony (Assured Security), and Lars (Calgary Lock & Safe) bypass theoretical tech jargon to deliver a grounded, operational look at how commercial security operators are deploying Large Language Models (LLMs) inside their businesses right now. Recording while traveling internationally—with Chad dialed in from just outside the Tower of London after hitting his fourth major golf championship—the trio breaks down the distinct roles of Gemini, Claude, Claude Code, and Cursor within their companies. Chad explains how Loc-Doc Security uses Gemini inside Google Workspace for daily automation and transcribing, while utilizing Claude to completely rebuild employee hubs, dynamic scorecards, and cleanliness audits in a fraction of the traditional development time. The guys unpack actionable ways to begin "workflow hacking"—from analyzing complex accounting task overlaps to using simple, silent screen recordings to auto-generate standard operating procedures (SOPs). Plus, they address the dark side of rapid AI adoption: managing "data clutter," avoiding AI agreement bias, and navigating the long-term subscription economics of venture-backed software.