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AI Agents for Researchers.
A Practical Guide to Literature Review, Coding, Experiments, Writing, and Reproducible Science
A chat assistant gives a doctoral student twenty-two references; eleven of them do not exist. The lesson is not to stop using AI agents. It is to delegate with verification built in, so that failure becomes visible before it reaches a thesis or a paper.
This guide is that engineering. It covers agent-assisted literature review, coding and data analysis, experiments and statistics, scientific writing and reproducibility, with task contracts, checklists and verification gates you can use in your own research group.
For doctoral students, researchers and supervisors who already use AI tools and want results they can defend.
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Read a free sample (PDF, 36 pages) Ask about this bookTitle, subtitle, cover and free sample come from the October 2026 release files. No ISBN or price is confirmed yet; orders are taken directly on this site.
FREE SAMPLE
Read the first chapter
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The free sample is a 36-page PDF with the title page, the table of contents and Chapter 1: The Paradigm Shift: From Passive Tools to Autonomous Scientific Agents. It is an excerpt only; the complete book can be read free on Google Drive or ordered directly from the author.
THEMATIC THREADS
01Literature search and synthesis
A theme of the book. The free sample includes the table of contents and the first chapter.
02Code, experiments and statistics
A theme of the book. The free sample includes the table of contents and the first chapter.
03Writing and reproducible science
A theme of the book. The free sample includes the table of contents and the first chapter.
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