SciSpace Academy
Tutorial

SciSpace Research Agent: Discover, Synthesise, Write and Present

Avi StaimanEnglishStart here

TL;DR

1-min read

Many researchers lose time switching between separate tools to find papers, pull out findings, draft text and build slides. In this live demonstration and hands-on tutorial, Avi Staiman, founder and CEO of Academic Language Experts and a chef at The Scholarly Kitchen, shows how the SciSpace Research Agent combines that work in one AI-powered environment. The tutorial is aimed at researchers, PhD students, postdocs, early-career scientists and academics who want a more streamlined workflow.

Key takeaways

  • The tutorial follows four connected steps: discovering papers, synthesising insights, writing, and presenting findings.
  • Discovery is about reaching relevant papers with less manual searching, so more time goes into reading what matters.
  • For synthesis, AI can group papers by theme, extract comparable details such as methods and findings, and highlight agreements and contradictions, but you still need to judge study quality and build the argument.
  • The Research Agent can help draft summaries, literature reviews and manuscripts from the material you have gathered in the same workspace.
  • Findings can be turned into presentation slides; treat the result as a first draft, check every figure and claim against your data and adapt the narrative to your audience.
  • Consolidating these stages in one workflow reduces the time spent moving material between tools.
Apply it

To apply this, run one small project end to end in the SciSpace Research Agent, from a search to a short slide deck, and review each output before you use it.

How to do it

  1. Choose a small end-to-end project

    Pick one small project to run from a search to a short slide deck, so you see all four connected steps in one workspace.

  2. Discover relevant papers

    Start with a search to reach relevant papers with less manual searching, leaving more time to read what matters.

  3. Synthesise insights by theme

    Group papers by theme, extract comparable methods and findings, and note agreements and contradictions. You still judge study quality and build the argument.

  4. Draft summaries and literature reviews

    Use the SciSpace Research Agent to draft summaries, literature reviews or manuscripts from the material gathered in the same workspace.

  5. Turn findings into presentation slides

    Generate slides as a first draft, check every figure and claim against your data, and adapt the narrative to your audience.

Watch the tutorial41 min

Chapters

  1. Why researchers need one AI research workstation, not 10 tools
  2. Hidden cost of a siloed research workflow: $20 a month per tool
  3. What can SciSpace Agent do? Grants, systematic reviews, posters
  4. What is an AI agent and how is it different from ChatGPT?
  5. Where does ChatGPT get its information vs an academic-only AI agent?
  6. How does an AI research agent work? Query and task breakdown
  7. Can SciSpace read paywalled papers? Sources and citations
  8. SciSpace Agent workflow from prompt to output, and why you still need QA
  9. SciSpace Agent homepage tour: where the tools went and task ideas
  10. How to write a good AI agent prompt to find research grants
  11. When to use Deep Search, and why AI research answers take 15 minutes
  12. How to steer an AI research agent mid-task by reading its reasoning
  13. How to find research grants with AI: ERC, Horizon Europe, foundations
  14. AI grant search results: relevance-scored tables and top-ranked funders
  15. Can AI write a grant letter of intent? SciSpace Agent drafts an ERC LOI
  16. Follow-up tasks: budget breakdown, research poster, website
  17. How to find research gaps and run a Q1/Q2-only literature review with AI
  18. More SciSpace Agent use cases and free credits

Try this on SciSpace

Frequently asked questions

What can the SciSpace Research Agent do?

As shown in this tutorial, the agent supports four connected stages of research work: discovering relevant papers, synthesising findings across them, writing summaries, reviews and manuscripts, and creating slides to present results. The aim is to handle these steps in one environment rather than switching between several separate tools.

How can AI help me synthesise research literature?

AI can group papers by theme, extract comparable details such as methods and findings, and highlight agreements and contradictions across studies. This gives you a structured starting point for synthesis. You still need to read key papers, judge study quality and build the argument that connects the evidence to your question.

Can AI create presentation slides from research findings?

Yes, AI tools can draft slide decks from your findings, suggesting structure, headings and key points. Treat the result as a first draft: check every figure and claim against your data, cut text-heavy slides and adapt the narrative to your audience, whether that is a lab meeting, conference or thesis defence.