What a first check showed

November 2026. A small check, to decide whether the part before the reply is worth building. It is not a study of learning.

2 min read · Updated Nov 4, 2026

What was compared, on each learner message, on two models (one open-weight):

Condition What the reply step got
Plain a one-line tutor prompt
Whole settings that, and everything a teacher set for the activity
Brief, by rules that, and what this moment needs, chosen by rules, with no extra call
Brief, by a small model the same, chosen by a small model, with one extra call

Cases. 30 grade 5 fractions messages, written by an author who saw neither the settings nor the conditions, and 20 mistaken solutions from MathDial's test set. A bar for what would count was written down before any run was read.

Measures. First-draft pass: VETTING reviews the draft, against the same settings and answer key in every condition. Good reply: a strong model, seeing each reply alone and never its condition, says yes to all of: doesn't give the answer away, responds to what this learner did, gives one clear next step, and its mathematics is right.

Main model (open-weight) First-draft pass Good reply Withholds the answer Tokens a turn
Plain 8% 4% 14% 519
Whole settings 68% 50% 72% 880
Brief, by rules 80% 62% 92% 652
Brief, by a small model 80% 65% 94% 1,811

The second model went the same way (8%, 74%, 86% and 82% on first-draft pass).

What it says.

  • Telling a model what the teacher decided before it replies is the large effect. The plain prompt never heard the rules it was reviewed against, so this is the gap for an app that adds nothing, not for one with a careful prompt of its own.
  • A brief's further gain isn't clear on the bar set beforehand: +10 points on first-draft pass (95% interval -2 to 22) and +10 to +14 on a good reply on the main model. It is clear on not giving the answer away: +18 to +20 (intervals 8 to 33). The rules version costs about a quarter fewer tokens.
  • Reading the moment works: a small model got 29 of 30, rules 23. Finding the right misconception doesn't yet: 4 of 19 turns.
  • A brief can mislead: a reply to wrong work said it "looks consistent", so the move for an attempt was rewritten after this check.

What it can't show. Fifty cases find only a large difference. The rater is a model not yet checked against people. Most messages are written, not from classrooms, and all are English mathematics. It measures replies, never learning. A fuller evaluation, with people's ratings, comes once the Harness is whole.


This page comes from the open repository: harness/docs/evidence.md. To change it, change it there.

This page is also plain Markdown at /docs/harness/evidence.md. Point your AI at /llms.txt to find every page.