RESEARCH. REASONING. DECISIONS.

Research with AI.
Keep the reasoning.

Dovod is a shared workspace for your AI research. Save sources and findings, review the conclusions, and return to the same project when the question changes.

Start a project See an example Open live project ↗

Your AI client. A shared place for the work.

Dovod decision record showing the evidence behind a proposed search trial

WHAT YOU CAN DO IN DOVOD

From the first question
to a plan of action.

Research with your AI assistant, bring in your team and turn what you learn into the next steps.

  1. Conduct research

    Collect sources, compare options and save findings with the evidence behind them.

    See how to start

  2. Bring your team

    Invite colleagues to your team and work with the same projects, materials and findings.

    Open your workspace

  3. Share your findings

    Publish a read-only link. Choose which documents, sessions, roadmaps and tasks to share.

    Open a public project

  4. Continue with AI

    Set the next research tasks. Ask your connected assistant to read the saved context and pick up where you left off.

    Connect your assistant

  5. Plan your roadmap

    Turn open questions into tasks and map out milestones, dependencies and the work ahead.

    Explore the example

  6. See the connections

    Explore the knowledge graph and mind map to see how documents, questions and findings relate.

    Explore the graph
FROM AN OPEN QUESTION TO A DECISION YOU CAN REVISIT.Sources stay close. Assumptions stay visible.

KEEP MORE THAN THE ANSWER

A conclusion is a beginning.
Give it a closer look.

The source, your question and the revised conclusion belong together.

01 / THE INITIAL CLAIM

“This option has a lower operating cost.”

A useful starting point. But what does the estimate include — and what has not been checked?

Needs a sourceLearning from the review

Evidence status: not yet verified. The claim stays open until its assumptions have been examined.

ILLUSTRATIVE REVIEW LOOP · Not a measured product comparison.

FIVE WAYS TO PUT IT TO WORK

Different questions.
The same care for the answer.

Explore the use cases
TECH LEADS & ARCHITECTS01

Choose the technology. Keep the why.

Compare options against your constraints. Keep the evidence behind the architecture decision record.

Architecture decision record
PRODUCT TEAMS02

Find the next thing worth testing.

Connect customer observations to hypotheses. Keep conflicting signals visible before choosing an experiment.

Discovery brief
CONSULTANTS03

Deliver more than a recommendation.

Keep the sources, assumptions and recommendation together. Hand over the result and return to it when the question changes.

Client recommendation
SRE & PLATFORM TEAMS04

Follow the evidence after the incident.

Organize the timeline, challenge causal assumptions and connect follow-up actions to what you actually know.

Incident evidence review
FOUNDERS & PRODUCT MARKETERS05

Know what makes the alternatives different.

Keep dated observations and open questions behind your positioning decisions. Include the way people solve the problem today.

Competitive alternatives map

YOUR AI DOES THE WORK. YOU STAY INVOLVED.

Start with the assistant
you already use.

Use MCP with a compatible AI client, connect your own tools through the HTTP API, and give your assistant the instructions in llms.txt.

Explore all integration options
  1. Connect through MCP

    Add Dovod to a compatible AI client and sign in.

  2. Give your assistant the guide

    Ask it to read llms.txt, then bring your first question.

  3. Keep going in your project

    Save findings, review a claim and return when you are ready.

A USEFUL PLACE TO START

Borrow a structure.
Make the question your own.

Browse resources

TEMPLATE / ADR / MARKDOWN

An architecture decision record with evidence.

Context, options, consequences — and the sources behind the choice.

Explore the template

EXAMPLE / SEARCH / DECISION TRAIL

How to choose a search engine for your knowledge base.

A worked example: define requirements, compare options, check the evidence and plan a practical test.

See the example

GUIDE / ADR / PRACTICAL GUIDE

How to evaluate a technology with evidence.

A practical structure for an ADR your team can understand and revisit.

Read the guide

YOUR WORK. YOUR CHOICE.

Start in the cloud.
Or host it yourself.

The same research workflow. Choose where your workspace runs.

READY WHEN YOU ARE

Dovod Cloud

Open your workspace in the browser, connect your assistant and bring your team. We run the service.

  • No server to set up
  • A shared workspace for your team
  • Connect your own AI client
Open Dovod

ON YOUR INFRASTRUCTURE

Self-hosted

Run Dovod on your machine or server. You choose where the data lives and manage the installation.

  • Download a binary or use Docker
  • Manage access, updates and backups
  • Connect your own AI client
See installation options

Take your research with you: export documents as Markdown or the project as portable JSON.

Does Dovod include an AI model?

You connect your own compatible AI client and model. Model subscriptions and API charges are separate from Dovod.

Does the assistant keep working when I close the chat?

Your project stays available. The assistant works in your connected client; ask it to continue when you return.

Bring a question.
Leave a trail worth keeping.

Start with your AI assistant. Keep the work in Dovod.

Start your first project