Your students are about to start logging hours.
Flowers is a Mac app that keeps a trainee's supervised-hours ledger and drafts their progress notes. All of it runs on the student's own computer, so no vendor ever receives client information, and there is nothing for your program to install, administer, or endorse.
Requires a Mac with Apple silicon · macOS 15 or later · 16 GB memory recommended
Hours dashboard with sample data.
Hours first
The problem students actually have
No vendor receives records
Nothing is uploaded anywhere
No BAA question
We never become a business associate
Nothing to administer
Students install it themselves
A ledger they can defend, and their evenings back.
The two things pre-licensed clinicians consistently struggle with are keeping an accurate hours record and getting documentation done. Flowers does both, in that order.
Supervised hours, tracked properly
Eight hour categories, multiple placement sites each with their own supervisors, pre and post-degree separation, and prior-hours balances carried in from before. On the California MFT track the BBS rule set is built in, including the caps, the six-year expiry, the 90-day registration rule, and weekly supervision-ratio warnings.
Other states, and California's clinical social work (LCSW) and professional clinical counseling (LPCC) tracks, get the same ledger with targets the student enters themselves. There is no built-in rule set for those boards.
The form their supervisor signs
On the California MFT track Flowers fills the real BBS Weekly Summary of Hours of Experience (form 37A-525). Signature lines print blank, so the supervisor signs by hand exactly as they do now, and the student keeps the countersigned copy. Other tracks export the same data as a clean weekly PDF.
Documentation that stays put
Flowers drafts progress notes from a recording or from a few typed reflections, and a Student mode identifies clients by initials or alias rather than full name. Notes are written to be copied into whatever system the placement site actually uses. Flowers is not the chart and does not try to be.
Why this is safe on a student's laptop.
The usual worry about a trainee using an AI documentation tool is that client material ends up on some company's servers under terms nobody read. That can't happen here, and not because of a policy we could quietly revise. There is no server to send it to.
- Transcription and the language model run locally. The AI is a real model that ships with the app and executes on the student's own machine. Nothing is queued or uploaded for processing.
- We receive nothing, so there is no BAA to negotiate. A Business Associate Agreement applies to a vendor that creates, receives, maintains, or transmits protected health information. We do none of those. Our full position is published.
- Clinical records are encrypted at rest. AES-256-GCM, with the key held in the student's own macOS Keychain rather than in the app's files.
- No accounts, no roster, no dashboard. There is nothing for a program to provision and nothing for us to hand over, because we hold no student data at all.
What Flowers does not do.
You are going to ask these anyway, so here they are before you have to.
It does not do clinical thinking
Flowers will not generate a diagnosis, a treatment recommendation, or a risk assessment. It records only a diagnosis the clinician has already stated. That is a deliberate design limit that keeps it a documentation aid rather than clinical decision support.
It does not replace supervision
The session-review feature reflects observations back to the student from their own recording. It is a reflective aid, not evaluation, and it says so on screen. Nothing in Flowers signs off on anything or substitutes for your judgment.
It is not a system of record
The placement site's chart remains the chart. Flowers is the student's personal layer beside it. It also does not verify hours with any board, transmit anything to one, or confirm that a supervisor signed.
It does not run on every laptop
Mac only, Apple silicon only, and 16 GB of memory is what we recommend for good output. It will run on 8 GB with a smaller model and slightly weaker note-taking abilities. This rules out a real share of any cohort, and it's better to know that up front.
If your site or program has a policy on AI-assisted documentation, that policy comes first. We would rather a student ask you before installing than after.
There is nothing for you to run.
Flowers is already free for up to 15 active clients, which covers most practicum caseloads, and hours tracking is free on every plan. Students do not need anything from you to start.
If you'd like to give your cohort more, we issue a code for a free year of Flowers Pro, which adds unlimited generation and the private session-review tools. You pass the code along; students redeem it themselves. There is no roster to maintain, no accounts to provision, no agreement to sign, and nothing for the program to formally endorse.
Request a code for your cohort
Write from your institutional address and tell us the program and roughly how many students. A real person replies, usually within a couple of business days.
Forward this to your students
The student-facing page is flowerstherapyapp.com/students. It covers what the app does, what it costs, and the hardware requirement, without anything you would need to vouch for.
Timing that actually works
The useful moment is right before placements begin, when students are setting up how they'll track hours for the next two years. Changing systems halfway through a traineeship is the thing nobody wants to do.
Tell us it isn't a fit
If you look at this and decide against it, we would genuinely like to know why. That feedback has shaped more of this app than any feature request.
Have a look before you recommend it.
Install it yourself, put in sample data, and see what your students would actually be using. Free, no account, nothing to cancel.
Download for MacRequires macOS 15 (Sequoia) or later · Apple silicon · 16 GB RAM recommended