Flow prototypes

Moment 3 of 4 · independent, not made by or with Wispr

Review Revisions

When you change your mind mid-sentence.

Change your mind mid-sentence, then check what Flow kept.

Problem

When you change your mind mid-sentence, Flow sometimes keeps the old choice too. It's hard to spot before you send.

My test I said to keep Leo and drop Sam. The output kept both.

Solution

One card per choice you changed. Fix one, the rest stays put.

New messageTo: TeamPrototype

Original output

Metrics

More messages that say what you meant, nothing else changed

Trade-offs

What I gave up, on purpose

Appears only after a revision

Overan always-on review step

Costeasier to miss

One card per decision

Overregenerating the whole message

Costmore taps for big changes

Says “Unresolved” instead of guessing

Overpicking the likely answer

Costmore choices left to you

Research

For anyone who wants to dig in

What my tests showedTen passages, mostly right, a few telling misses
My testNot yet verified
  • My ten scripted passages mostly kept their meaning. Several spoken corrections resolved correctly.
  • Guest list, second try: I meant to keep Leo and drop Sam. The output kept both. (In the first try, adding Sam back was on purpose.)
  • A complex scheduling dictation kept the final date and time, but wrote “the smaller group” without saying who was in it.

One speaker, my own runs, not yet checked against the recordings. Evidence records R3 to R6

Full metric planUsability test, formulas, thresholds, kill criteria
Rules it followsHow the review behaves
  • Optional, never a gate. The control appears only when the dictation contained revisions.
  • Three kinds of choice: clearly replaced, still unresolved, and a condition that still applies.
  • Change one decision at a time. Restoring an earlier day doesn't bring back the earlier time.
  • Preview, then apply. Cancel, undo and the original output stay available. No confidence scores.
What this prototype doesn't showLimits
  • It doesn't detect revisions. Whether a model can reliably find the decisions in a dictation is the main open question.
  • The guest list case is rebuilt from what I reported, so it shows no spoken excerpt. The other cases use scripted input.
  • Not yet tested with users.