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Use this page as the front door to the AllMind docs. The goal of these guides is simple: help you understand which feature to use, how to use it, and what good work looks like when you are done. Every feature guide should be written around real research use cases, not a list of buttons.
The documentation is being built out now. Some section pages are already in place and will be filled in with step-by-step workflows, examples, and use cases as each guide is published.

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How to use these docs

Start with the work you are trying to do. If you already know the feature, open that guide directly. If you are not sure where to begin, use the workflow examples below to pick the right starting point. If you know the feature, open that guide first, then use the examples to set up your first workflow. If you know the task, start with the use case that matches your work; the docs will point you to the feature that fits best and show how it connects to the rest of the platform.
1

Pick the job

Start with a specific task: review documents, answer a research question, build a report, compare companies, or automate a recurring workflow.
2

Choose the feature

Use the feature map below to decide where to work first. Some workflows use one feature; others move across several.
3

Follow the guide

Each guide will walk through setup, inputs, common decisions, and the checks you should make before relying on the output.
4

Adapt the example

Replace the sample company, documents, or research question with your own work. The point is to give you a pattern you can reuse.

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Choose by use case

Use Chat when you need a fast, cited answer and you are still shaping the research question.Good starting points:
  • “What changed in management commentary this quarter?”
  • “What are analysts worried about in this sector?”
  • “Which sources support this claim?”
Use Data Rooms instead when the answer needs to come from a specific set of uploaded files or selected documents.

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Feature map

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What each feature guide will include

A plain-English explanation of the feature, the jobs it is best suited for, and the situations where another feature is a better fit.
What you need before using the feature: documents, companies, date ranges, research questions, output requirements, or team context.
The actual sequence of work, including setup, decisions to make along the way, and what to do if the first output is not specific enough.
Practical examples for different workflows, such as earnings review, deal diligence, sector research, monitoring, company comparison, and report generation.
How to check citations, spot weak outputs, tighten prompts, compare sources, and decide whether the result is ready to use.

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Typical workflow

Most research does not stay inside one feature. A common flow looks like this:
1

Start broad

Use Chat or Data Viewer to orient on the company, topic, or sector.
2

Collect evidence

Move the relevant files, filings, transcripts, or internal documents into a Data Room.
3

Ask targeted questions

Query the room for the specific claims, risks, changes, metrics, or themes you need to understand.
4

Turn work into output

Use Reports when the analysis needs structure, polish, review, or export.
5

Automate the repeatable parts

Use Agent Studio after the manual workflow is clear enough to run again.
If you are unsure where to start, begin with Chat. Once the question becomes specific, move into the feature that owns the work: Data Rooms for documents, Data Viewer for company data, Reports for deliverables, and Agent Studio for repeatable workflows.
Have a question while the docs are being expanded? Reach out to our team and we will help you find the right workflow.