Give AI context.
Give the work continuity.

A design conversation mixes approved decisions, rejected options, temporary assumptions and casual suggestions. Carrying all of it into the next task can make an assistant confidently repeat an idea the team has already abandoned.

We separate three layers: authoritative documents, curated project memory and temporary task context. The first records the source of truth. The second preserves approved decisions and their rationale. The third contains just what the current task needs. This separation makes it possible to explain why information was used.

A useful memory entry identifies the project, decision, status, date, owner and source. “Keep the reception in its current location” means more when it links to an approved meeting record than when it appears in a free-text summary.

The workflow can extract candidate decisions from notes, but extraction should not silently approve them. Route proposals to the project lead, then make accepted entries available to later tasks. Keep rejected options accessible when they explain the design history, without presenting them as current instructions.

Retrieval is selective. Preparing a material review may need the current palette, budget constraints and client exclusions; it does not need every earlier image prompt. We define a context budget and preserve citations so the assistant can return to the underlying document when needed.

A changed client instruction should supersede the earlier decision explicitly. Otherwise both can remain available and the assistant may choose the wrong one. Record what changed, which projects it affects and which information is no longer current.

Project boundaries matter too. A preference from one client should not become a general studio rule. Access permissions must apply to retrieved context as well as to the original files. Removing access to a document should trigger a review of any retained derivative information.

Memory is stored information, not a promise that a model has learned your practice. Its quality depends on selection, maintenance and retrieval. Test it with a changed decision and an intentionally irrelevant source, not only a question whose answer is obvious.

We build the context structure, prompts and approval pattern around one project task, such as preparing a concept review. The output should distinguish settled decisions, proposed directions and unanswered questions.

Your team should be able to trace a response to its context, correct a memory entry and repeat the process in another session. Once that works, connecting tools and scheduling preparation becomes a practical next step.