Dietmar Fischer
👤 SpeakerAppearances Over Time
Podcast Appearances
That has been one of the big limits of AI.
Many systems are impressive in the moment, but weak over time.
They can help with one email, one summary, one campaign idea.
But business is not one isolated task after another.
Business has history.
Clients change their minds.
Teams develop habits.
Companies have rules.
People have preferences.
And someone always has a painfully specific way they want the spreadsheet named.
A serious AI assistant cannot treat every conversation like a first date.
It needs memory.
But memory is not just one big bucket labelled stuff the AI knows.
That would be too messy.
If you tell an AI, for this report, make it very short, that does not mean every future report should become a tiny corporate haiku.
If a client says once, we are not sure about TikTok, that is not the same as a permanent strategy saying we never use TikTok.
One is an event, the other is a stable rule.
Mix those up, and your AI starts making confident business decisions based on one sentence someone said while fighting hotel Wi-Fi.
That is why AI researchers and agent designers increasingly separate memory into types.
Today, we focus on four of them.