I love the blank Beehiiv post page on Monday mornings and getting to come up with a new theme.
I’ve been fangirling over AI assistants and all the amazing ways you can integrate them into your business.
But there’s an ominous, evil dark side.
Actually, it’s not evil or ominous. I’m just being overdramatic.
But this week I want to talk about some of the challenges that we’ve faced (and are still facing) when trying to use AI assistants for our team.
One of the most common challenges is prompt management—managing the quality and consistency of prompts.
What does that mean?
If you’ve ever taken a computer class, you will learn this concept on day one: Garbage In, Garbage Out (GIGO).
Computers process EXACTLY what they’re given—they’re not designed to improvise.
If it’s crappy data, you’re gonna get crappy output or errors.
Unfortunately, AI assistants CAN improvise.
This means that crappy input data may give you visually GOOD output . . . but WRONG output.
We all know that AI can be confidently wrong — and that’s especially NOT good when dealing with our business data.
We actually use Team-GPT, which gives us the ability to manage prompts by project and in folders.
Anyone on the team has the exact prompt they need for a task.
The prompts have been tested, and they give us predictable outputs.
Predictable prompts that have been tested . . . are a huge component of a quality AI assistant.
Even the slightest untested variation of a prompt can give you wrong results that look deceptively correct.
Speaking of managing AI effectively... if you're ready to build your own AI assistant (without the headaches of trial and error), I've got something special for you.
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Create bulletproof prompt libraries
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Disclaimer: Just a heads-up! Some of the links in this newsletter might be affiliate links, which means I could earn a small commission if you make a purchase. No extra cost to you… just a way to keep the magic coming!
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