AI Meat Proxies and Workslop | EP 112

Someone on your team ran a task through AI and forwarded the output without reviewing it. That person was a Meat Proxy and just generated Workslop. Yuck!Alane Boyd and Micah Johnson break down these two terms, which sound like they should be in food manufacturing, and describe exactly what can go wrong inside AI-forward companies.In this episode, you’ll learn:How to tell a meat proxy from someone using AI well and why knowing the desired outcome is the whole differenceWhat your colleagues actually think when they spot unread AI output, backed by the numbers on trust and credibilityThe tells that give workslop away, from verbose answers to ignored brand guidelinesWhy “train your team” isn’t enough unless you define what the right way to use AI looks like at your companyHow making AI use visible turns a shameful shortcut into a useful handoffThe one requirement that forces people to read the output before it leaves their deskIf your team is moving fast with AI and you’ve started to notice the quality slipping, this conversation names the problem and gives you several things to change today.This episode is brought to you by Biggest Goal, the company Alane Boyd and Micah Johnson co-founded.Fifteen years of scaling their own companies taught them that adoption is a people problem long before it's a technology problem, so we train executives and their teams through workshops, cohorts, mastermind groups, and hands-on implementation support.For more info about our programs, join our free community at your.biggestgoal.ai.Thank you for supporting the podcast!