Claude Research: Keep Web Evidence and Work Context Clear

The idea behind Claude Research

Anthropic’s April 15, 2025 Research announcement describes Claude carrying out connected searches and returning citations. It also introduced Google Workspace context alongside web research, including information from documents, email and calendar. Consult the provider’s current settings and documentation for access; this article does not treat launch availability as today’s entitlement.

The interesting workflow question is how to combine external evidence with internal context without confusing one for the other. The screenshot in the original announcement illustrates the original Workspace integration; it is not a screenshot of Tabzero or a guarantee of the current Claude interface.

Official source: Anthropic, Claude takes research to new places — https://claude.com/blog/research

• Read Anthropic’s Claude Research announcement

Use two source lanes in the brief

Our suggested template separates Public evidence from Team context. Public evidence covers the information a reader could independently inspect on the web. Team context covers constraints, past decisions and documents you are authorized to use.

For a project kickoff, public evidence might be the official documentation for a proposed service. Team context might be a note saying the team can maintain only one deployment pipeline. The documentation explains what is possible; the team note explains what is practical for this project.

Keep the categories attached to the conclusions. ‘The service offers an export’ and ‘we should choose it’ are not the same kind of statement. The second also depends on your requirements and judgement.

A research prompt for a project meeting

Prompt to adapt: ‘Prepare a briefing for our project kickoff. Use the documents I explicitly provide as team context and official web documentation as public evidence. Organize the result into requirements, options, unresolved questions and decisions needed. Mark the source category beside each conclusion. Do not present a draft proposal as an approved team decision.’

Start with a limited set of documents that actually belong to the meeting. If a broad search returns an obsolete plan, ask for the date and status of that document before incorporating it. Relevance is more useful than collecting the largest possible bundle of material.

If the briefing will be shared outside the team, prepare a separate version with only the information that audience should receive. The destination and audience belong in the original brief, not as an afterthought when the report is finished.

Review the answer as a meeting artifact

Read the proposed decisions first. For each, ask whether it is supported by public evidence, an internal constraint or an assumption. Move assumptions into a visible questions section instead of letting them disappear inside polished prose.

Then check dates. A recent email may change an older planning document, but it may also be a suggestion that nobody accepted. Preserve that distinction. Write ‘proposed in the planning thread’ when the source does not establish a final decision.

Finish with owners and next actions that a human has actually accepted. An AI-generated action list is useful preparation, but assigning a name in a report does not mean that person agreed to the task.

Keep a concise note after the meeting

Create a note with the meeting purpose, decisions made, unresolved questions and the links needed for follow-up. Keep the full research result separately if it contains more background than the next person needs.

A useful closing line is ‘Next review: after the prototype answers the export question.’ It tells your future self what event should reopen the decision, rather than leaving a stack of undifferentiated tabs.

Tabzero’s development Web Workspace can hold your manual notes, saved source links and project folders. It does not connect to Claude Research, Gmail or Google Drive on your behalf. Use only the source links and notes you intentionally bring into it.

• Use source relationships to navigate your notes

Questions worth asking before a research session

Which sources should be considered authoritative for this decision? Who will read the final note? Which document is current? What would cause us to reject the recommendation? Answering these questions gives research a useful boundary.

Does this article claim Claude is better than ChatGPT? No. It examines a different workflow problem: keeping public evidence and work context distinct. The accompanying prompts and meeting-note structure are original editorial suggestions, not a measured product comparison.

• Review a ChatGPT Deep Research report
• Build a smaller, clearer context brief