For recurring AI work
LLMs keep forgetting your project context? Give the work a place to return to.
A long-running project should not depend on one perfect prompt or one model. Keep the files, records, decisions, and corrections in a scoped workspace you can inspect whenever the work resumes.
Project workspace
One scope. Fewer context resets.
The point is not a bigger prompt. It is a durable place where the source, structure, corrections, and scope stay together.
A calmer workflow
From files to a working context.
01
Create a scope
Use folders and datasets to separate clients, products, projects, or personal work.
02
Keep decisions visible
Corrections and mappings persist with their evidence instead of disappearing into an old chat.
03
Work from what is current
Reports and dashboard views refresh from the data in scope, with coverage and exclusions disclosed.
Built for work that continues tomorrow.
The practical upgrade is continuity you can inspect: the same project files, the same definitions, and a clear boundary around what an AI assistant can use.