LumaVista is a research platform that turns a question into a structured, multi-source report — without you having to open dozens of tabs or piece together findings manually. You describe what you want to know, and a team of specialized AI agents plans the research, searches across sources, reasons through what they find, and writes a synthesized report.

This guide covers creating your account, understanding the dashboard, and getting oriented before your first project.

Creating your account

Getting started takes about a minute:

Visit lumavista.eu and click Sign Up.
Choose your method — sign in with Google, GitHub, or create an account with your email address.
Confirm your email if you signed up with email. Check your inbox for a verification link.
Set your preferences — you will be asked to choose a default research profile. You can change this anytime from Settings. Profiles control how deep and broad your research goes.

Once you are in, you land on the dashboard — the home base for all your research.

The dashboard at a glance

LumaVista dashboard overview

The dashboard is designed around one idea: every research effort is a project. When you log in, you see your project list front and center — cards showing each project’s title, status, and when it last ran.

Here is what you will find:

Project cards — Each card represents a research project. Cards show the project title (derived from your prompt), its current status (running, completed, or stopped), and a brief summary. Click any card to open it.
New Project button — Top of the project list. This is where every research session starts.
Sidebar — Navigation to your projects, settings, and usage information.
Settings — Access your profile preferences, theme toggle (light or dark mode), and account settings.

If this is your first time logging in, your project list will be empty. That is expected — we will fix that shortly.

What is a project?

A project in LumaVista is a self-contained research effort. You give it a goal — a question, a topic, a problem statement — and LumaVista assigns a team of AI agents to investigate it. Each project has:

A prompt — The research question or goal you provide. This is the starting point for everything the agents do.
A research graph — A visual representation of the work being done. Agents create nodes in this graph as they plan subtasks, run searches, reason through findings, and synthesize results. You can watch this graph grow in real time.
A report — The final output. Once agents finish their work, you get a structured report that synthesizes what they found across all their searches and reasoning steps.
A chat panel — A way to interact with your project after (or during) execution. Ask follow-up questions, request changes, or dig deeper into specific findings.

Projects are persistent. You can come back to a completed project days later, read the report again, or ask new follow-up questions in the chat panel.

Your first steps

Here is the recommended path for new users:

Create your first project. Click “New Project” on the dashboard. You can type a research question directly, or use the guided prompt builder to refine your question through a short conversation. We recommend starting with the guided prompt builder — it helps you articulate exactly what you want researched.
Watch the agents work. Once you launch a project, the research graph appears. You will see planning nodes break down your question into subtasks, search nodes gather information, and reasoning nodes analyze what was found. This usually takes a few minutes depending on the complexity of your question.
Read your report. When the agents finish, your report is ready. It is structured with sections, citations, and synthesized findings — not just a dump of search results.
Ask follow-up questions. Open the chat panel and ask about anything in the report. Want more detail on a specific section? Curious about something the agents did not cover? The chat understands the full context of your research.

Choosing a research profile

Research profiles control how LumaVista approaches your project. You picked a default during signup, but you can change it per project. The key profiles are:

Balanced — Good depth without excessive cost. Works well for most questions.
Deep — More thorough searches, more reasoning passes, higher budget. Use this for complex topics where you need comprehensive coverage.
Quick — Faster results with fewer agent passes. Good for straightforward factual questions or when you need a quick overview.

You can also fine-tune individual settings like maximum graph depth and node budget, but the profiles handle this for most users.

A note on privacy

Your research data is encrypted and stored per-user. LumaVista uses a per-user storage architecture — your data lives in its own isolated database, not mixed in with other users’ data. If you want even stronger protection, the LumaVista Companion App puts encryption keys on your phone so that not even we can read your research.

Next steps

You are ready to run your first project. Head to Your First Research Project for a step-by-step walkthrough of creating a project from prompt to finished report.

If you want a deeper tour of the interface first, check out Navigating the Interface for an annotated walkthrough of every panel and control.

As you build up research over time, LumaVista automatically captures what you learn into a personal Knowledge Graph that makes future projects sharper and more relevant.