Turboresearch – The Fastest Way to Write a Literature Review


Target audience: turboresearcher
Attention: This might not align with current academic guidelines on the permitted use of AI tools.

Prerequisite: A research gap has been identified.


Step 1: Literature Search

Use these tools to find relevant, recent, and high-quality academic papers:

  1. Gemini (Google AI)
    • Best for deep research and scoping.
    • Can summarize trends, identify gaps, and provide references.
    • Use prompt:
      “Summarize the current state of research on [your topic], including key materials, challenges, and recent breakthroughs from the past 2 years. Include references.”
  2. SciSpace Deep Review
    • Focuses only on academic sources.
    • Finds top papers and extracts insights, methods, and gaps.
    • Allows export to reference managers (CSV, BibTeX, RIS, etc.).
  3. Manus AI
    • Agentic AI that segments tasks (e.g., finding references, summarizing, outlining).
    • Can generate structured literature reviews and dashboards.
  4. OpenAlex
    • Fast, open-source academic search engine.
    • Great for quick keyword-based searches and trend analysis.

Step 2: Writing the Literature Review

Use these tools to structure and write your review efficiently:

  1. Notebook LM
    • Upload papers or summaries.
    • Chat with your sources to extract themes, gaps, and comparisons.
  2. ChatGPT (with Projects or Custom Instructions)
    • Use for drafting, refining, and organizing your review.
    • Prompt example:
      “Write a structured literature review based on these references. Include themes, gaps, and how the current research connects to my topic: [paste references or summaries].”
  3. Thesa (Theo the Cat)
    • Upload your draft for feedback.
    • Get suggestions on clarity, structure, and missing arguments.

Optional Enhancements

  • Text Blaze: Save and reuse prompts for faster iteration.
  • Perplexity (Academic Mode): Quick academic Q&A with citations.
  • Consensus: Synthesized answers from multiple papers with a “consensus meter.”


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