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Tutorial

How to Automate a Research Workflow with SciSpace Agent

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TL;DR

1-min read

Use SciSpace Agent when the deliverable requires several connected actions, not for a single lookup. Give it a written brief that names the question, sources, constraints, deliverables, and review checkpoints; inspect its plan and intermediate files before allowing a large search or analysis. Accept the final result only after checking pivotal papers, calculations, exclusions, and missing information.

How to do it

  1. Choose a task with a clear endpoint, such as a screened evidence table or a data-analysis report.

    Name the exact artifact the agent must produce—such as a screened evidence table, reproducible analysis, or briefing report—and define the fields, format, and acceptance criteria before running the task.

  2. Describe the research question, purpose, audience, sources, constraints, and required files.

    Provide a structured task brief containing the research question, audience, allowed sources, date range, files, exclusions, terminology, and deliverables. State what the agent should do when information is missing.

  3. Review the proposed plan and correct assumptions before the agent performs large searches or analyses.

    Audit the plan for missing databases, hidden assumptions, unnecessary steps, and decisions that should remain human-led. Edit the plan before the agent spends time on large searches or analyses.

  4. Inspect intermediate results, including selected papers, exclusions, extracted variables, code, or calculations.

    Sample the intermediate work instead of waiting for the final report. Check selected papers, exclusion reasons, extracted variables, code, calculations, and source links against the brief.

  5. Ask for revisions, then validate the final claims and download the useful outputs.

    Request revisions with a written change list and recheck the affected evidence. Accept the final package only after pivotal sources, calculations, and unresolved uncertainties have been reviewed.

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Frequently asked questions

Can SciSpace complete this workflow automatically?

SciSpace can automate repetitive and evidence-heavy steps, but the researcher should still define the scope, approve methodological decisions, interpret results, and verify the final output.

What should I verify before using the output?

Check that the cited sources exist and support the claims, confirm important data and methods in the original papers, and follow your institution, funder, or journal policy on AI use and disclosure.

How should I choose between a SciSpace tool and SciSpace Agent?

Use a focused tool for one bounded action, such as finding papers or questioning a PDF. Use Agent when the task requires several connected actions, intermediate files, or approval checkpoints.

What information should I prepare before starting?

Prepare the question, scope, date range, source or file boundary, required fields, expected output, and the decisions that must remain with the researcher.

How can I make the workflow reproducible?

Save the prompt, sources, filters, intermediate files, outputs, consequential decisions, and verification notes under the same project.