Clinical Trial Design Prompt Studio

From plant, molecule or diagnostic technology to a structured clinical-study protocol. Select a study design, generate evidence-conscious prompts, and assemble draft protocol sections using the AI model of your choice.

01 · Study Setup

Project name

Research subject *

Plant, molecule, diagnostic tool, or intervention name *

Disease / condition *

Research goal / intended use

Clinical study type *

Country / region

Development phase

Target population / age / setting

Known evidence, dose, reference standard, or constraints (optional)

Planning support only. Outputs are drafts, not a validated protocol or trial authorization. Qualified investigators, methodologists, statisticians, ethics committees, and applicable regulators must review decisions. Do not enter identifiable patient data.

02 · Protocol Prompt Library

16 study prompts

Generate prompts first. Select any module, copy its prompt into your preferred LLM, then paste the LLM's reviewed output into the response box below. Each accepted section is retained in your browser for this project.

DefineEvaluate EvidenceDesignReviewExport

03 · Generated Prompt

Module 1 / 16

Enter your research details and select Generate Study Prompts.

04 · AI Response & Protocol Section

0 sections accepted

Paste reviewed AI response for the selected section

Accepting a section saves the text locally and adds it to the assembled draft. Earlier accepted sections are summarized in subsequent prompts; check for inconsistencies and fabricated references.

05 · Draft Clinical Study Protocol

0 / 16 sections

Accepted AI outputs will appear here as a sectioned draft protocol.

Swalife Biotech · Clinical Trial Design Prompt Studio 1.0 · Standalone browser edition (no API key / no Python / no backend)