Putting Audit · founding cohort now open

The AI company solving putting.

Run a five-station putting test with a phone and ten balls. Our AI reads your numbers against the cohort, finds the input costing you strokes, and builds practice that holds up on the course.

Learning science · not tips No hardware required Re-tested at four weeks
app.unbogey.com/battery/results
Speed error
0ft avg
71% short
Start line
0/10 gate
miss right ×3
Pressure streak
0of 10
−40% vs. no stakes
Calibration
0
overconfident
Speed dispersion 15 / 25 / 35 ft · 30 balls
hole +3 ft −3 ft 15 ft 25 ft 35 ft
Cohort · 8 ft make rate n=128
you · 33% 10% 60%

Analysis. Your start line is above cohort median; the strokes are leaking on speed. 71% of lag putts finished short, and the error grows with distance, which points to under-hit pace rather than a misread. Week 1 targets speed only: three ladder sessions of twelve minutes, spaced, with a re-check Friday.

Built on
Motor learning researchStrokes-gained dataQuiet-eye studiesDesirable difficultiesClaude
The test battery

Five stations. One number per problem.

The industry measures the stroke. We measure the golfer. Each station isolates one input, so the analysis can say what to fix instead of what's wrong.

Station 01

Speed

Thirty putts to 15, 25 and 35 feet. We map where every ball stops, and whether your error grows with distance.

finish dispersion · 25 ft
Station 02

Start line

Ten six-footers through a gate just wider than the ball. Face angle, isolated.

7 through · 3 right
Station 03

The read

Commit to an aim point before every putt. Miss side versus intended line.

read · actual · under-read low
Station 04

Pressure

Six-footers with a consequence. A miss resets the count. Longest streak wins.

streak 4 · reset · reset
Station 05

Calibration

Predict your score before each station. Then we measure the gap. Feel, quantified.

−18% overconfident
The Putting Audit

Your numbers, turned into a practice architecture.

Every putting product ends at the diagnosis. The audit starts there. The AI reads your battery against the cohort, and a curriculum designer with seventeen years in learning science turns it into four weeks of practice sized to the time you actually have.

  • The battery, guided. Setup video, scoring sheet, submission form.
  • The analysis. Your profile versus the cohort. Which input is leaking strokes, and by how much.
  • The architecture. Four weeks of spaced, varied, pressure-loaded practice.
  • The call. Forty-five minutes with the person who wrote it.
  • The re-test. Same battery at week four. Before and after, in numbers.
$350founding price · one-time · includes re-test
Putting Audit · ReportWeek 0 → Week 4
Speed error
2.4 → 1.5 ft
Start line
7 → 9 / 10
Read
low → even
Pressure
4 → 8 streak
Calibration
−18% → −5%
Three-putts
3.4 → 1.6 / rd
Week 1 · speed only · 3 × 12 min
Mon
Tue
Wed
Thu
Fri
Sat
Sun
How it works

Measure. Prescribe. Re-test.

The loop that every other putting product skips, because it's the part that can be checked.

01

Measure

Twenty minutes, five stations, a phone and ten balls. The battery replaces "did it go in" with two questions you can answer: did it start where you meant, and finish at the pace you meant.

02

Prescribe

AI analysis against the cohort, then practice built on the research golf skipped: spacing, interleaving, external focus, pressure inoculation. Sized to a Tuesday night, not a tour schedule.

03

Re-test

Same battery, four weeks later. Every audit produces a before and after. Every before and after makes the next golfer's benchmark smarter. The dataset is the product.

Free

Find out what's costing you strokes.

The five-station battery, the scoring sheet, and your place in the benchmark. Then one piece a week on putting, and nothing else.

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