Here's something that might blow your mind: ChatGPT and Claude have absolutely zero memory. None. Every single time you send them a message, they read your entire conversation history from scratch, generate a response, and then completely forget everything that just happened.
So when these AI tools claim they "remember" you, that's not the AI remembering anything. That's a completely separate piece of software making judgment calls about what information to save about you, and you almost never see this happening behind the scenes.
Most people assume AI memory works like human memory. You have a conversation, the AI learns something about you, and it carries that knowledge forward. But that's not what's happening at all.
Instead, here's the real process:
The problem? AI isn't particularly good at making judgment calls. And when you stack judgment calls on top of judgment calls, you get unreliable results.
The AI decides what's worth remembering about you. Maybe you were brainstorming vacation ideas, talking about race cars, or working through a problem you later solved differently. The AI might save all of that as "truth" about who you are and what you do.
When the AI saves incorrect information or outdated contexts, you can't see it happening. These bad memories then contaminate future conversations without you realizing why you're getting weird outputs.
AI doesn't understand the difference between personal and business conversations, or between different clients. Information bleeds across contexts, potentially mixing client-specific details or personal preferences into professional work.
While you can technically go into settings and delete saved memories, it's tedious and you might miss connections that are causing problems. The AI might have saved related information in ways you don't expect.
This is the biggest problem for businesses: if you roll out AI tools to your team, each person's AI will develop different memories. Even if they only use it professionally, you'll end up with multiple sources of truth and inconsistent outputs across your organization.
There's a better way to handle AI memory, but it requires using tools that can access files on your computer like Claude Desktop with Cowork, or OpenAI's code-enabled versions.
Here's the key insight: memories are just text snippets. So instead of letting AI automatically save random text snippets, you can create your own "memory files" with exactly the information you want the AI to remember.
This approach gives you:
The solution isn't to avoid AI memory entirely, it's to understand how it really works and implement a system you control. By moving from automatic "fake memory" to a curated file-based system, you can get consistent, reliable results that scale across your entire team.
Remember: if you're relying on AI to make judgment calls in any form, you're setting yourself up for frustration. The more you can control the inputs and context, the better your outputs will be.
Ready to fix your AI memory problem? Start by turning off automatic memory and building a file system that actually works for your business.
Here's something that'll mess with your head: ChatGPT and Claude have zero memory. Every single message you send, these AI tools read your entire conversation from scratch, answer, then forget everything. When tools claim they "remember" you, that's not the AI, it's separate software making judgment calls.
If you've ever wondered why AI sometimes gives inconsistent outputs or seems to "lose the plot," this episode connects the dots. Alane Boyd and Micah Johnson reveal why relying on automatic AI memory is setting your team up for frustration and failure.
In this episode, you'll learn:
If you're ready to stop letting AI make memory decisions for your business and take back control with a system that actually scales, this episode shows you exactly how.
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is a visionary leader and serial entrepreneur with two successful SaaS exits under her belt. Recognized as a Top Leader under 40 and a finalist for Top Companies to Watch in 2021, Alane's expertise spans operations, sales, marketing, and technical skills. A published author and a mentor to many, she is passionate about impact-driven, result-oriented leadership.

is an accomplished entrepreneur and advisor, known for his ability to bridge the gap between business requirements and technical execution. With a knack for identifying system gaps and implementing solutions, Micah has been recognized as a Top Leader under 30 and has significantly contributed to scaling businesses for large brands and manufacturers across the US.