Enterprise · Research
Research & knowledge agent
Answers from files and docs in the project, with a path back to the source. If it cannot cite, it should say so.
Answers from files and docs in the project, with a path back to the source. If it cannot cite, it should say so.
A “research agent” that browses the web and speaks in footnotes it did not open is a hallucination engine. This page is the conservative version: your corpus, your citations, your gaps.
Point it at a project’s files and docs. Ask questions. Expect quotes and links to those objects. Competitive “what’s happening in the market” is only in scope if you stored the materials — 10-Qs, notes, PDFs — not because the model remembers a headline.
Corpus
Project files
What you uploaded is the world
Cite
Back to the doc
Or admit the gap
Team
Shared, not private
Same pack for everyone on the project
Traditional tools
A drive full of PDFs plus ChatGPT with a random upload and no shared memory.
With Maicos
The files already live in the project. The agent answers from those files for everyone on the team.
Closed-corpus answers. Silence when the corpus is silent.
This project’s files and docs — not the entire company dump unless you built that library on purpose. Scope prevents leaking HR files into a marketing brief.
A useful answer names the doc. “I don’t see that in the pack” is a better outcome than a fluent wrong paragraph.
Turn a finding into a note the team can edit. Research that only exists in chat will be re-asked next week.
If a member cannot open the file, the agent should not summarize it for them. Workspace roles still apply.
Put the sources in. Ask. Write down the answer. Do not launder guesses as citations.
PDFs, notes, tables. If it is not there, it is out of scope.
“What does the 2024 report say about churn in section 3?” beats “tell me about churn.”
If the agent cannot point at a file, treat the answer as unusable.
So the next person does not re-run the same question from chat history.
The RFP response is a file in the deal project. The model’s training data is irrelevant.
Someone asks in the project
Implementation timeline from our submitted RFP.
Agent opens that PDF
Quotes the paragraph, names the file.
If the PDF is missing
It says the pack does not contain an RFP — it does not quote a typical RFP from the internet.
Conclusion goes into a doc
“Committed timeline as of RFP v3.” The team can argue with a sentence, not a vibe.
Research agents earn trust by refusing. Fluency without sources is how you ship a wrong number to a customer.
Name the decision. Prefer questions that can be true or false against a document. Save web-scale “what’s trending” for a process that includes human verification.
Project files
The same apps you already work in — not a second chatbot that needs uploads.
Useful agents have a job description. These limits keep this page honest — and help you pick a different agent when you need one.
How people use this every day.
What we submitted, what they asked, from the files in the deal project.
Internal research on a handbook section — with the same cite-or-stop rule. HR-sensitive packs stay tightly scoped.
Incident docs in an ops-adjacent project. Do not mix with the public support agent’s tables.
If the question is “where is the laptop policy?”, that is onboarding’s handbook. Research is for packs that are not a linear week-one path.
An internal agent that answers from files and docs in a project and should cite those objects. It is not a promise to search the live web.
Not as described here. If you add browsing later, treat every external claim as unverified until a human checks it.
Scope the corpus to the project and respect workspace roles. A company-wide “ask anything” bot is how payroll files get summarized for the wrong room.
It can synthesize from PDFs you stored. It cannot honestly claim completeness of a field it did not read.
Hobbies is your own learning. This agent is a team corpus in an enterprise project.
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