Dietmar Fischer

It is the current task, the current instruction, the thing on the desk.

If you ask for a short client update, the AI should remember that it is writing a short client update, not suddenly wander off and produce a strategic manifesto with 12 headings and the emotional weight of a tax audit.

Episodic memory is what happened before.

It is the project diary.

The client rejected a headline.

The team chose version B. The last report was too long.

These memories help the AI keep continuity, but they should not automatically become permanent rules.

One awkward meeting does not mean the entire client relationship is doomed.

Sometimes people are just hungry.

Semantic memory is stable knowledge.

These are the facts the AI should treat as generally true.

Company policies, brand rules, product details, customer segments, legal limits, pricing rules.

This is where accuracy matters.

If the AI forgets a style preference, that is annoying.

If it remembers the wrong refund policy, that is a business problem with paperwork attached.

Procedural memory is how work gets done.

It is the playbook.

How reports are structured, how podcast episodes are built, how campaign reviews are written, how customer support issues are escalated.

This is where AI becomes really useful in business, because it stops asking for the same process again and again.

It begins to follow the way the organization actually works.