Microsoft Researcher is a specialist agent inside Copilot designed for deep, source backed investigations across any industry. You can run GPT and Claude side by side, compare their findings, and reach a more informed conclusion. If your daily work involves serious research, this is where Copilot earns its keep.
What is Microsoft Researcher and why does it matter?
Researcher is one of the agents available inside Microsoft 365 Copilot, built to dig into details that a regular chat prompt would skim over. Its standout feature is the integration of multiple models, so you are not stuck with a single perspective when you investigate a topic.
You can choose how the models collaborate. One option is to let GPT search and have Claude refine. Another is to run both at the same time and compare. The agent itself acts as a referee, surfacing where the models agree, where they clash, and what evidence each one brought to the table.
What is Microsoft Researcher? It is a specialized agent inside Microsoft 365 Copilot that performs deep research using GPT and Claude, either sequentially or in parallel, and compares their outputs.
How does the council mode work with GPT and Claude?
The flow starts with a prompt. You can attach a document from OneDrive, a file from your computer, or pull content from any service connected to Microsoft 365. That context shapes the investigation from the start.
Once you launch the prompt, Researcher does not run blindly. It asks roughly three clarifying questions to lock in scope, angle, and depth. You can answer them inline, and you can even tell it how long the final report should be in pages. A short brief or a long dossier, your call.
When you select the council mode, Researcher calls both models at the same time:
- GPT runs its own search on the left side of the interface.
- Claude runs its own search on the right side.
- Each model pulls from different sources and structures the answer in its own way.
GPT tends to deliver a structured report with summary tables and a clear list of sources. Claude leans into visual elements like infographics, timelines, and breakdowns of burnout factors, specific barriers, or capability matrices. Two answers, same question, very different texture.
How do I compare the results from both models?
This is where Researcher stops being a search tool and becomes a research partner. After both models finish, the agent highlights points of agreement, points of disagreement, and the reasoning behind each. You read the comparison and decide which path to trust, or you blend both.
When should I use council mode instead of a single model? Use it when the topic is ambiguous, high stakes, or when you want to validate findings. For quick lookups, a single model is faster.
How can I apply Researcher to my daily work?
Think about the tasks where you usually open ten tabs and still feel unsure. Market analysis, competitive benchmarks, regulatory checks, internal project deep dives. Those are the moments where Researcher pays off.
A practical way to start:
- Pick a real topic from your current operation, not a test question.
- Attach the relevant file from OneDrive or your local drive so the agent has context.
- Decide your model strategy: GPT first then Claude refines, both in parallel, or just one.
- Answer the clarifying questions with intent and set the desired length.
- Review the comparison and extract your own conclusion.
The value is not in delegating the thinking. It is in having two strong models lay out the evidence so you can decide faster and with more confidence.
Can Researcher use my own files as sources? Yes. You can attach documents from OneDrive, your computer, or any service connected to Microsoft 365, and the agent will use them during the investigation.
What changed compared to the previous version?
If you took the earlier course, the core idea is the same, but the integration of two models running in parallel or in a refinement chain is the meaningful upgrade. You are no longer locked into one engine, and the agent itself helps you reconcile the differences.
Now it is your turn. Pick a topic from your day to day, run it through Researcher, and try the different model setups: GPT alone, Claude alone, both in council, or one refining the other. Drop a comment with how it went and which configuration gave you the sharpest output.
