Built from lived need, developed with an analyst’s discipline.

Justin Thiltgen’s professional background is in governmental research, grant analysis, evidence synthesis, and the presentation of complex information for decision-makers.

That experience does not make him a clinician. It does offer a useful discipline for a patient-side problem: preserving chronology and provenance, distinguishing evidence states, retaining contradiction, finding gaps, measuring burden, and presenting material another person can interrogate.

The framework grew from a sustained personal encounter with fragmented care and longitudinal complexity. The public project extracts the generalizable method; private emotional and clinical records are not the product and are not published as proof.

The work now extends beyond briefing design into PSLAI: an evaluation discipline for whether longitudinal AI preserves meaning and human authority across handoffs. It also examines substantive human agency—whether people can actually understand, correct, contest, limit, and direct an AI system in practice.

The framework remains deliberately open to correction. Its value must be tested against professional burden, different levels of patient capacity, false confidence, inequitable access, and the possibility that added structure can sometimes make an encounter worse.

Patient-Side is not medical advice, a diagnostic service, or a substitute for licensed professional care.