Combining Approaches

In practice, the most effective context strategies are rarely confined to a single tier or a single technique. A knowledge worker using GLBNXT Workspace might draw on a persistent knowledge base for background reference material while also pasting an inline document that is too recent to have been indexed, and simultaneously providing a structured data extract that is specific to the current query. Managing that combination effectively requires explicit decisions about precedence, conflict resolution, and context architecture.

Establishing Precedence

When multiple context sources are present in the same conversation, the model will attempt to integrate them. If they are consistent, this is seamless. If they conflict, the model will either hedge, produce an inconsistent response, or silently choose one source over the other based on factors you cannot directly observe.

The solution is to state precedence explicitly in the task instruction:

The attached document is the most current version of the policy. 
Where it conflicts with anything in the knowledge base, treat the 
attached document as authoritative.

Use the retrieved documents as background context only. 
The specific figures in the table I have pasted should take priority 
over any figures appearing in the retrieved content.

Explicit precedence instructions are particularly important when combining real-time or session-specific data (Tier 1) with indexed historical content (Tier 2 or Tier 3), because the indexed content may be outdated relative to what you are pasting inline.

Avoiding Redundancy

Providing the same information through multiple channels simultaneously, for example pasting a document inline while the same document is also indexed in the knowledge base, consumes context window capacity without adding value. Worse, it can produce responses that cite the same information twice or appear uncertain about which version to use.

Before pasting content inline, consider whether it is already available through the knowledge base. If it is, a targeted retrieval query may be more efficient than re-providing the content. If the knowledge base version is outdated, replace it there rather than supplementing it inline.

Building a Context Strategy for Repeated Workflows

For tasks you perform regularly with a consistent set of context sources, investing time in designing a deliberate context strategy pays compounding dividends. A context strategy answers four questions:

What context is always needed? This belongs in the knowledge base or, if it is stable and short enough, in the system prompt itself.

What context varies by instance? This is Tier 1 material, provided inline for each specific task.

What context can be retrieved on demand? This belongs in the knowledge base, retrieved automatically when relevant.

What context requires real-time retrieval from external systems? This is a Tier 3 trigger, warranting a pipeline if the frequency justifies it.

Answering these questions for your most common tasks and encoding the answers as a consistent practice eliminates the ad hoc context decisions that introduce variance and degrade output quality over time.