Select a specialized agent to assist with your clinical programming workflow.
All content generated by AI tools on this platform should be validated independently before using in real clinical projects. AI-generated code, specifications, and documentation may contain errors, hallucinations, or logic gaps. Always review outputs against your study protocol, SAP, and company SOPs before incorporating into production environments.
The original toolkit. Build detailed LLM prompts, generate SAS/Python code, or convert legacy code between languages.
Reverse engineer your code. Paste a derivation script (SAS/Python) and get a formatted Define.xml style mapping specification.
Get professional documentation of complex macros or scripts. Focuses on business logic and data flow, not syntax.
Upload eCRF specs (Excel) and generate linked SAS raw datasets with 5 subject scenarios — screen failure, ongoing, completed, discontinued, and follow-up.
Generate a complete CDISC Trial Summary (TS) domain. Enter core study parameters, AI expands to 30-40 rows with QC verification, then download as Excel.
Guidelines and expectations for best results
What to Expect
How to Use
Select a mode (Generate, Convert, or Prompt Builder), choose your language and domain, describe your task clearly, and submit. The more specific your prompt, the better the output.
What to Expect
How to Use
Paste your SAS or Python derivation code into the input box and submit. The tool will analyze the code and produce an HTML specification table that you can copy into your documentation.
What to Expect
How to Use
Paste any clinical programming code (macros, derivations, etc.) and submit. The output is the original code annotated with professional inline comments. All output is valid runnable code.
What to Expect
How to Use
Upload your eCRF specification Excel file, provide a study name, and submit. The tool reads all sheets/pages and generates SAS code with proper LENGTH, LABEL, and FORMAT statements. Best used for generating test data during study start-up.
What to Expect
How to Use
Fill in the core study fields (Study ID, Drug, Phase are required). Optionally add dictionary versions. Click Generate — the AI creates the full TS dataset. Review the editable table, make corrections, then download as .xlsx.