An AI Assistant That Understands Your Research
A persistent chat sidebar that knows your project, your papers, your hypotheses, and your protocols. Ask questions and get answers grounded in your actual research data, not generic responses.
Generic AI chatbots do not know your research context
You can paste a question into ChatGPT or Gemini, but those tools have no idea what project you are working on, which papers you have already reviewed, or what stage your protocol is at. Every answer starts from zero. You spend more time providing context than getting useful answers.
NousLab's AI Research Assistant is different. It lives inside the platform and automatically loads the context of whatever you are viewing. If you are on your papers tab, it knows your papers. If you are reviewing a hypothesis, it knows the supporting evidence. If you are building a protocol, it knows the methodology and endpoints you have defined.
The result is an assistant that gives specific, actionable answers without you having to explain your research from scratch every time you ask a question.
Generic chatbot vs NousLab assistant
How the AI assistant works
Open any page, ask a question, and get an answer that references your actual research. No setup, no prompting tricks.
Open any page
Navigate to any section of your project: papers, hypotheses, protocols, roadmaps, grants, or the organization dashboard. The assistant sidebar is always available.
Assistant loads context
The AI automatically detects your current project, section, and data. It loads the relevant context so it can answer questions specific to what you are working on right now.
Ask your question
Type a question in natural language or use the context-aware quick reply buttons. The quick replies change depending on whether you are viewing papers, hypotheses, protocols, or roadmaps.
Get specific answers
The assistant responds with answers grounded in your research data. It references your papers, highlights relevant findings, identifies gaps, and suggests concrete next steps for your project.
Different context, different help
The assistant adapts its behavior depending on which section of the platform you are using. It offers relevant quick replies, suggestions, and answers for each context.
Paper Context
When you are viewing your papers, the assistant can summarize findings across studies, compare methodologies, identify conflicting results, and suggest papers you might be missing. Quick replies include "Summarize all papers" and "Find contradictions."
Hypothesis Context
On the hypothesis tab, the assistant knows your generated hypotheses and the evidence behind each one. Ask it to explain the reasoning, evaluate the strength of evidence, or suggest how to test a specific hypothesis in the lab.
Protocol Context
While building a research protocol, the assistant can review your methodology, suggest improvements to your study design, help define inclusion and exclusion criteria, and flag potential issues before you submit to an ethics committee.
Roadmap Context
On the roadmap view, the assistant understands your project timeline and milestones. It can suggest which tasks to prioritize, estimate realistic timelines based on your progress, and help you plan the next phase of your research.
Grant Context
In the grants section, the assistant helps you find relevant funding opportunities, review eligibility criteria, and prepare your application materials. It can cross-reference your project data with grant requirements to highlight your strengths.
General Help
When you are not inside a specific project, the assistant switches to organization-wide mode. It can help you navigate the platform, explain features, guide you through settings, and answer general questions about how to get the most from NousLab.
How a PhD student uses the assistant during a systematic review
Maria is a second-year PhD student starting her first systematic review on the relationship between gut microbiota and depression. She has imported 40 papers into her NousLab project, but she is not sure where to begin.
She opens the papers tab and clicks on the assistant. The quick reply buttons suggest "Summarize all papers" and "Find common themes." She taps "Summarize all papers" and gets a concise overview of the main findings across her 40 studies, organized by methodology and outcome.
Next, she navigates to the hypothesis tab. The assistant now shows different quick replies: "Explain this hypothesis" and "What evidence supports this?" Maria asks the assistant to identify which of her papers provide the strongest evidence for the link between Lactobacillus strains and serotonin production. The assistant lists five papers with specific findings and page references.
When she moves to the protocol builder, the assistant suggests inclusion criteria based on the populations described in her papers, flags that two of her studies used pediatric populations while the rest focused on adults, and recommends she define her age range before proceeding. Throughout the entire process, the conversation history is preserved, so Maria can scroll back to reference earlier answers without repeating her questions.
Frequently asked questions
Is the AI assistant a generic chatbot?
No. The NousLab AI assistant is context-aware. It knows which project you are working on, which papers you have imported, what hypotheses you have generated, and what stage your protocol or roadmap is at. Every answer is grounded in your actual research data, not generic knowledge.
Does the assistant remember previous conversations?
Yes. Conversation history is persisted across navigation. You can start a conversation on your papers page, navigate to the hypothesis tab, and the assistant retains the full thread. Your chat history is saved and accessible every time you return to the platform.
What kind of questions can I ask?
You can ask about your specific research data: summarize findings across your papers, compare methodologies, identify gaps in your evidence, get suggestions for next steps, ask about your protocol structure, or request help interpreting your hypothesis results. The assistant adapts its suggestions depending on whether you are viewing papers, hypotheses, protocols, roadmaps, or grants.
Is the assistant available on every page?
Yes. The assistant is a persistent sidebar available on every page of the platform. Whether you are inside a project reviewing papers or on the organization dashboard, the assistant is always one click away. When you are outside a project, it provides general organization-wide help.
Does the assistant use my data to train AI models?
No. Your research data and conversations with the assistant are never used to train AI models. The assistant processes your data in real time to answer your questions, but nothing is stored or reused for model training. NousLab is GDPR compliant.
Can different team members use the assistant independently?
Yes. Each team member has their own conversation thread with the assistant. The assistant sees the same project data that the team shares, but conversations are individual. This means each researcher can explore different questions without interfering with their colleagues' chat history.
Ready to try an AI assistant that actually knows your research?
See how NousLab's context-aware assistant can help your team move faster through every stage of the research process.
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