Write it down.
Let the field grow.
Every note is a seed. Kenfield turns your notes into branches, recall questions, and two reports every Monday, all from your own writing.
Four steps, one week
QUICK ADD: A NOTE IS TYPED, SAVED, A CELL FILLS
01 · WRITELeave two sentences behindThe moment you save, a seed lands in the field. The app suggests the tag; you only write.
A chat tool answers. Kenfield accumulates.
ChatGPT is good when you ask: you get an answer, the thread closes, nothing sticks. Kenfield works the other way around. You write; the reports, questions and suggestions are built only from your own notes. An empty box starts from zero every time, a field picks up where it left off.
ChatGPT is good when you ask; you get an answer, nothing sticks. In Kenfield you write, everything is built from your own notes, and the field picks up where it left off.
Your note comes back as a question
Right before you'd forget, Kenfield asks a real question built from your note. You think of your answer first; the note opens after.
Right before you'd forget, you're asked a real question built from your note.
iPHONE · CAPTURE PENDING
No waiting for Monday
The day you join, you see a first-look report built from your first notes. The weekly rhythm starts after that.
The day you join, you see a first-look report built from your first notes.
One page as the year ends
A whole year of notes, plots, and the trail you left, gathered on a single portfolio page. Exportable; it's yours.
A year's worth on a single page; exportable, yours.
What's on the desktop is in your pocket
One account, the same notes, the same field, the same weekly reports. A seed you plant on the phone sits in the same cell on the desktop.
One account, the same notes, the same field. A seed you plant on the phone is there on the desktop.
FIELD
QUICK ADD
BRANCHES
WEEKLY DIGEST
PORTFOLIO
Six professions, one habit
Architecture decisions, migration lessons, code review notes
Research findings, typography experiments, usability notes
Discovery interviews, metric readings, prioritization lessons
Campaign results, A/B readings, channel experiments
Editing lessons, headline experiments, audience observations
Query patterns, experiment designs, model notes