SciSpace Academy
Tutorial

SciSpace Research Agent: An End-to-End Research Companion

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TL;DR

1-min read

This launch tutorial introduced SciSpace Research Agent, an AI assistant designed to support a project from the first literature search through data analysis and drafting. A live walkthrough is combined with real use cases from fields such as genomics and pharmacology. The tutorial is useful for graduate students, PhD researchers, postdocs, faculty and research teams who are deciding whether an agent-based workflow suits their work.

Key takeaways

  • The agent is built to cover the full research lifecycle, including literature review, reading papers, data analysis, writing and referencing.
  • Examples from genomics and pharmacology show how the agent can fit into domain-specific research rather than only general tasks.
  • Discovery, reading, writing and referencing can run inside one agent instead of being spread across separate apps.
  • The agent draws on dozens of built-in tools, several scholarly databases and ready-made research workflows, which lets you delegate multi-step tasks.
  • An open Q&A at the end covers practical use and how to keep research standards high while working faster.
  • The agent does not replace your judgement: verify citations, read key papers yourself and disclose AI assistance according to your institution's and journal's policies.
Apply it

To apply this, choose one stage of a current project, such as a literature review, run it through SciSpace Research Agent, and check the sources it returns before moving to the next stage.

How to do it

  1. Start with a literature search

    Begin your project in SciSpace Research Agent with a literature search on your topic. The agent supports the full lifecycle from here.

  2. Read and reference in one place

    Use the agent for reading, writing and referencing instead of switching between apps. A single workflow saves time.

  3. Delegate with built-in tools

    Hand off tasks using the agent's built-in tools, scholarly databases and ready-made workflows. This lets you delegate routine work.

  4. Apply it to your domain

    Try the agent on domain work, as in the genomics and pharmacology examples. This shows whether it suits your field.

  5. Analyse data and draft

    Use the agent for data analysis and drafting, then review the results yourself. This keeps research rigor in place while working faster.

Watch the tutorial1 h 16 min

SciSpace Research Agent: An End-to-End Research CompanionPlay video: SciSpace Research Agent: An End-to-End Research Companion

Chapters

  1. Welcome and agenda
  2. Where SciSpace Agent came from: Deep Review to agents
  3. Why researchers need an AI research agent instead of separate tools
  4. How does SciSpace Agent work? Planning, 100+ tools and workflows
  5. What can an AI research agent do? Top research use cases
  6. How to write a good prompt for SciSpace Agent and when to use Deep Search
  7. How do SciSpace Agent credits work?
  8. Can AI write a grant proposal? Agent plan and workspace layout
  9. How the agent finds an NSF grant and compiles a LaTeX proposal
  10. Reviewing the 28-page AI-drafted grant proposal
  11. Starting a live systematic literature review from audience prompts
  12. AI peer review before journal submission: 3 reviewers plus a meta-review
  13. How does an AI agent run a PRISMA systematic review? The guided plan
  14. How to build an academic portfolio website from Google Scholar with AI
  15. AI systematic literature review example: COVID-19 vaccine trials in India
  16. Is it OK to use AI for research? Why you still verify every step
  17. Peer review results published as an interactive website
  18. How to use AI for data analysis: Excel sheet to charts
  19. Turning AI charts into a LaTeX report and refining the graphs
  20. Will AI-written literature reviews be flagged by AI detectors?
  21. How to search Google Scholar, arXiv, PubMed and SciSpace at once
  22. Can SciSpace Agent access paywalled papers?
  23. How many credits does a systematic review use?
  24. Can SciSpace Agent find non-US grants or write a PhD research proposal?
  25. Do journals accept AI literature reviews? Turnitin vs AI detection
  26. Result: an 18-page LaTeX data analysis report from a CSV
  27. What files and links can you give SciSpace Agent? Forest plots from CSV
  28. How an AI research agent helps across the PhD journey: finding research gaps
  29. Using AI for code, slides, thesis drafts and peer review in a PhD

Try this on SciSpace

Frequently asked questions

What is SciSpace Research Agent?

It is an AI assistant from SciSpace built to help across the whole research lifecycle, including literature review, reading papers, data analysis, writing and referencing. It brings together many specialised tools, scholarly databases and predefined research workflows, so researchers can run multi-step tasks in one place instead of moving between separate applications for each stage of a project.

Can an AI research agent replace my own judgement?

No. An agent can speed up searching, summarising and drafting, but researchers remain responsible for checking sources, interpreting results and deciding what goes into their work. Good practice is to verify citations, read key papers yourself and disclose AI assistance according to the policies of your institution and your target journal.

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