Putnam Proof Trainer
Putnam Proof Trainer turns the historical archive into a focused practice engine. It tracks work, estimates your level, and routes you toward confidence wins, on-level reps, and stretch problems using archived Top N score distributions as calibration data.
The archive is still there, but the product is organized around practice tracking, difficulty calibration, and next-problem selection rather than passive chart consumption.
Track attempted, partially solved, solved, hinted, abandoned, and archived work with notes, time, and attempt count.
Use perfect solve rate, nonzero rate, attempt rate, and average score to estimate how demanding each archived problem was.
Get a ladder of recommendations around the current level estimate while keeping the archive available for manual selection.
The product stays narrow on purpose: pick a problem, work it seriously, record the result, and let the queue adjust.
01
Use the recommended queue or jump directly to any year and slot in the archive.
02
Record status, time, attempts, notes, and whether the result came with hints or solution reading.
03
Use the historical distribution data to decide whether practice should move down, hold, or push harder.
Historical data stays static. Practice state persists server-side. The app is password-protected and optimized for one user who wants a disciplined Putnam workflow instead of another dashboard.