Client build, in development

Can a non-technical practitioner get a reliable AI collaborator while keeping AI out of client relationships?

• Intake process mapping

• Configured using practitioner-authored samples

• Output reliability & eval

• Structured input/output design

• HITL review

• Practitioner-only deployment

The design question that mattered most was where the AI belongs. Built for a licensed educational psychologist, it works only for her, drafting from her own reports and intake process, and never touches the families she serves, so the clinical relationship stays fully human. The engineering underneath is reliability: defining what a trustworthy draft looks like, then building the checks that let her actually rely on it. In build using the ChatGPT API & synthetic cases; intended deployment in a HIPAA-compliant environment.