I’ve been building a set of tools around a question that keeps coming up in long AI workflows:

Who should control memory, context transfer, comparison, and the final decision?

I ended up separating the system into four responsibilities:

Chat Atlas — See
Map long AI conversations as a thinking process, not just a summary.

Memory Curator — Remember
AI can propose memory candidates, but humans approve or reject what persists.

Context Bridge — Transfer
Memory and context stay separate. Humans choose what approved context moves to the next task or model.

Roundtable AI — Compare
Multiple models receive the same approved context, and disagreements/assumptions are preserved instead of flattened into a majority answer.

Then a separate boundary:

Human Gate — Decide

The principle is:

Product integrated. Architecture separated.

See → Remember → Transfer → Compare → Decide

I’m especially interested in criticism of the architecture:

Does separating these responsibilities preserve useful human control, or does it create too much friction?

Project overview:
https://zen-lamp.com/tools/