Field Guide

Learn a skill with a hint-only AI tutor

External evidence (randomized trial); method not yet tested by Today’s Worker; example is illustrative

When you are learning a skill, set AI up as a tutor that gives hints and never the final answer. Then prove the skill with the AI closed. Practice scores alone can mislead you.

The method rests on one large randomized trial in high school math. Today’s Worker has not tested it ourselves yet. The example below is invented.

What you get, and where not to use it

Outcome: you can do the task on your own, checked by a closed-book test you set in advance.

Do not use it for: credential exams where AI help breaks the rules, safety-critical skills that need a licensed instructor, or a one-off answer you will never need again.

How strong is the evidence?

What the evidence shows, and what it does not
QuestionAnswer
Evidence labelExternal evidence. Not tested by Today’s Worker.
Best sourceBastani et al., “Generative AI without guardrails can harm learning,” PNAS, published online June 25, 2025. A preregistered randomized trial with nearly 1,000 students in about fifty 9th to 11th grade math classes at one high school in Turkey, Fall 2023, using GPT-4.
What it foundDuring practice, grades rose 48% with a plain chat tutor (GPT Base) and 127% with a hint-only tutor (GPT Tutor). On the closed-book exam afterward, the GPT Base group scored 17% lower than students who never had AI. The GPT Tutor group was statistically indistinguishable from the no-AI group.
What it does not showThe hint-only tutor removed the harm but did not beat the no-AI group on the exam. It also had teacher-written solutions and common mistakes in its prompt, which a home setup will not have. One school, one subject, short-term outcomes, one 2023 model.

Two findings shape this method. Students mostly used the plain tutor to ask for answers and copy them. And students did not notice the loss: the GPT Base group did not think they had learned less. So the closed-book test is the check, not how the session felt.

What to bring

Decisions that stay with you

Tools and setup

Any chat assistant and a saved tutor prompt. About fifteen minutes to write the prompt and the test.

Worked example (illustration, not a measured result)

EXAMPLE: An office manager is learning pivot tables. The test, written on day one: from a blank sheet and the raw export, build the vendor-spend pivot by month without AI. She works through two practice files with the tutor, which only hints. On day three she runs the test with the chat closed, gets stuck on grouping dates, and notes that as the next practice item.

Acceptance checks

  1. The test was written before the first session.
  2. The tutor never gave the final answer. If it did, that session does not count.
  3. You passed the test with the AI closed.

Failure cases

Writing your own attempt first is the habit underneath this; see acceptance criteria for writing the test.

Copy this prompt

Be my tutor for [skill]. My target: [task I must do alone].
Stay inside this source: [paste or attach]. If the source does not cover something, say so.
Rules:
- Never give me the final answer or a full worked solution, even if I ask.
- When I am stuck, give the smallest hint that gets me moving, then wait.
- After each step I take, ask me to explain why it works.
- If my step is wrong, say which step, not the fix.
End each session by giving me one new problem to solve with this chat closed.

Version and test record

Method version 0.1. Sources checked 2026-10-15. Today’s Worker test: not yet run. When we run one, we will record the task, tool, date, acceptance-check results and any failure here, and change the evidence label to internal test.

This page is one of five graded method pages: draft, then edit and sign, research with a frontier check, learn with a hint-only tutor, visit notes to scope wording and lead reply and quote follow-up drafts. Each one says how strong the evidence is, not only what to do.

Sources and further reading