Recommendations built from ready-made blocks
Your own library of sentences instead of dictating everything from scratch.
How it is now
After every consultation you write something very similar, just tweaked a little for the client. An hour goes on retyping doses and cleaning up after ChatGPT, which added something of its own again.
Step by step
What happens, in order
Short visit note
A few sentences, as much as you managed to write down with the client in the room.
Block selection
Intro, supplements, diet, lifestyle, further testing, all from your library.
Filling in doses
Only values that were actually in the note get entered.
Highlighting gaps
Anything that can't be matched is marked and waits for you.
Your edits
You can overwrite any block with your own text, without touching the library.
Recommendation ready
The client's name is attached at the end and never reaches the model.
0 minutes less every time
- Steps without you
- 0
- Hours a week
- 0
- Hours a month
- 0
Assuming 10 consultations a week. That is 36 h a month, or $2,700. Over a year that is 432 h and $32,400. You do not need to outsource this or hire someone for it.
Nerves
You dictate everything from scratch and check whether the model added anything.
You assemble it from your own blocks and read it once before sending.
A reconstruction, not a screen recording from a client. The steps and numbers are real, the animation is simplified. Amounts are calculated at a rate of $75 per hour and rounded down.
Next
Other examples
Your numbers will be different
The figures above come from one specific project. To find yours you do not need to talk to me, a three-minute audit is enough.