Share Brand Context Across AI Assistants

To reuse brand context across AI assistants, start with a small approved brief that you can inspect and correct. Separate product facts, source material and writing preferences. Then test whether each assistant retrieves and uses the same current version.

A file can be enough for an occasional assignment. A connected memory service becomes useful when facts change frequently, several people maintain them or multiple workflows need the same context. Either approach still needs an owner.

Make the brief small enough to verify

Choose one assignment, such as explaining a release to an existing audience. Include only context that changes the writing decision. A long archive of every conversation makes review harder and can preserve a contradiction long after the business has moved on.

Use this structure as an editorial template, not as a required FeedSquad import format:

Brief version and review date:
Owner:
Reader and task:

Approved product facts:
- Fact:
  Source and source date:
  Availability and limitation:
  Approved for public use by:

Writing preferences:
- Channel and situation:
- Preference:
- Approved example:

Do not use:
- Retired claims, private details or topics outside this assignment

Open questions:
- Missing fact and person who can resolve it

A customer quotation needs both a reliable record and permission to use it in the intended context. Approval of an internal fact is not public-use consent. Keep those decisions separate.

Preserve the reason for a preference

“Be more direct” is difficult to apply consistently. An approved before-and-after example shows what the writer means. Record the context too: a short X announcement and a reflective LinkedIn post may need different openings.

Treat a one-off edit as feedback on that assignment until the author chooses to make it reusable. If someone removes a joke from a product incident post, that does not establish that they never want humour anywhere.

A portable brief should also say what has expired. When product availability changes, replace or retire the old statement rather than leaving both versions for an assistant to choose between.

Test two assistants with the same assignment

Use the same approved brief, task and source notes in both environments. Ask each assistant to identify the brief version, list the facts relevant to the assignment and identify missing support before drafting.

Then introduce a controlled change. For example, replace an old availability statement with a new one and explicitly retire the earlier claim. Run the task again in fresh sessions. Check whether each output uses the revision rather than remembered text from a previous conversation.

Record the result rather than assuming that connecting to one endpoint makes context use identical across clients. Access permissions, retrieval behaviour and the context actually passed to a model can differ.

Compare that process with a static brief you supply manually. A connected service should earn its extra setup through useful continuity or lower maintenance effort, not merely through a larger store of text.

What MCP supplies

MCP can expose tools and resources through which a client accesses context. The resources specification describes that interface; it does not standardise a brand brief or guarantee that an assistant follows the content correctly.

Ask a provider what is returned, which user or workspace it belongs to and how corrections are made. A tool appearing in a catalogue does not establish permission to use it. Read access and the ability to alter approved knowledge should be evaluated separately.

Where FeedSquad fits today

FeedSquad's current source defines Stash MCP tools for reading confirmed brand context and staging proposed knowledge. They are private-beta capabilities with account access controls and scopes. Discovery across remote adapters is not proof that every connected account can use them. Verify access and behaviour in your deployed connection before depending on this route.

The brand-context tool description includes source and freshness references, but those references are not the raw supporting evidence. Keep the underlying source available to the reviewer. A proposed memory update should remain distinguishable from an approved fact.

A broader shared writing-brief and specialist-agent workflow is described in FeedSquad's strategy documents. That direction is not a promise that every proposed capability is available today. Start with the living marketing memory overview and evaluate one assignment. Use the voice editing guide for preference examples and the AI content review to check the resulting draft.