Opening application…
A course is a sequence of positions with the reading behind them. Write those once and the term's material assembles from your own work instead of starting over.
Titrate is pre-launch. What is described here is what it is being built to do, with Jeff Casebolt, PhD (ABD).
The central question
Does power training (high-velocity/explosive-intent resistance training) reduce fall risk — measured either via functional-capacity/balance surrogate outcomes or via actual fall incidence — more effectively than traditional slow-velocity strength training or general exercise in older adults?
A workbench, not a chatbot.
Nothing here writes a confident paragraph for you to trust. There is no chat window. You keep the judgment; the tool keeps the trail back to the papers. It cannot hallucinate a citation because it does not generate citations at all — a claim points at a paper already sitting in your own library, or it points at nothing.
01
Keep the papers you already read — or start from the topic and keep only what you judge worth keeping. Either way they land as PDFs or citation-only records in a library that is yours.
02
Group them into the topic this piece of work belongs to.
03
Write the position, with each claim carrying its citation.
04
Ship it — course material assembled from positions you have already written, with the sourcing visible.
You rebuild lecture material each term, and the papers behind it are scattered across a drive, a reference manager and an inbox. Meanwhile students cite whatever ranks first in a search, and you have no clean artifact to model good sourcing against.
One email when the first practitioner cohort opens. Nothing else.