Can the clinic use its active template?
The system introspects the template rather than depending on a manually maintained slide map.
How do you turn uneven clinical inputs into a consistent patient presentation without hiding missing information or removing operator judgment?
Intake forms omit fields. Photo sets arrive incomplete. Clinic templates change. A system that quietly fills the wrong slide is worse than one that stops and shows the gap.
The system introspects the template rather than depending on a manually maintained slide map.
Required gaps remain visible. The system does not invent clinical content to make a deck appear complete.
The operator confirms patient identity, reviews warnings, and decides whether the deck is ready for use.
Each case requires staff to gather, place, and check the same classes of material.
The repeatable work becomes a fixed pipeline while judgment stays visible.
The browser supervises the run but never edits slides. Each case moves through a deterministic local pipeline. Working files are removed after delivery or cleanup.
PDF, clinical photos, and the active template enter one run.
The system reads the template structure and derives its slots.
Extracted values and photo views map to explicit slots.
The operator confirms identity and reviews visible warnings.
A deterministic PPTX, error report, and audit are produced.
What remains local: patient inputs, template, extracted fields, images, and working files.
What never happens: cloud processing, silent gap filling, or browser-based slide editing.
The system makes uncertainty legible rather than smoothing it over.
The operator checks case identity before accepting the presentation.
Required gaps surface as warnings rather than fabricated values.
The same resolved case state produces the same presentation contract.
Per-run files live in temporary storage and are wiped after delivery or cleanup.

The local supervisor before a case is loaded. This focused crop contains no patient data and shows only the input boundary and pipeline controls. It does not establish clinic adoption, update performance, deployment status, or a business outcome.
A local-first system was built with deterministic assembly, visible gap handling, operator confirmation, ephemeral run data, and a reviewable output contract. This record makes no claim about clinic adoption, labor saved, error reduction, or business results.
For document workflows carrying clinical or operational risk, speed matters only after the system can show what it knows, what is missing, and where a person must decide.