Critique and revise, and the options.
The loop
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Draft, look again, revise: the loop is simple; the quality of the second look is not Draft model writes the first version Look again find what is wrong Revise model edits using what it was told Stop nothing wrong, or out of rounds another round Second look by the same model - sees only the text it already wrote - misses some problems, invents others - may declare done too early - can spoil a draft that was right Second look from outside - tests, validators, a schema, a calculator - new information the writer did not have - exact, with a message that says what to fix - cheap: no extra model call Draft, look again, revise
Draft : the model writes a first version.
Look again : something finds problems in it.
Revise : the model edits the draft using what it was told.
Stop : nothing is wrong, or a round limit is hit.
The pattern is easy to write and easy to get wrong. The questions that decide whether it helps are: who looks (step 2), what they say (a name, a vague feeling, an exact message), and when to stop (step 4).
The running example
A customer notice about a delayed order, written by a model, must pass six checks that run on the text :
Check
Passes when
order id
the id such as ORD-4821 is in the text
date format
the new date is written exactly as 2026-03-21
apology
the word "sorry" appears
length
at most 40 words
banned words
none of "guarantee", "unfortunately", "regret"
refund
the refund amount is written, and it is a fifth of the total
The toy writer slips on each check at a rate of 8% to 15% (writing the date as 21/3/2026, quoting the whole total as the refund, adding a long closing paragraph). About 47% of first drafts pass all six. Here is one job revised using the checks' messages:
draft 1: Your order ORD-9916 is delayed and we are sorry. It will now arrive on
2026-03-21. We have refunded $115 for the wait. Our team has been working very
hard on this and we want you to know that your patience means a great deal to
everybody here.
check failed: The notice is longer than 40 words; cut it down.
check failed: The refund is $23 (a fifth of the total), not another amount.
draft 2: Your order ORD-9916 is delayed and we are sorry. It will now arrive on
2026-03-21. We have refunded $23 for the wait.
all checks pass
Note that the second message contains the answer ("a fifth of the total"). A bare "refund wrong" would leave the writer guessing; compare module 2's error messages.
Four ways to look again
Same 1000 jobs, at most three rounds:
Strategy
Final text passes all checks
Model calls per job
Good drafts spoiled
Bad drafts rescued
draft only
47%
1.0
0%
0%
retry on pass/fail : a program says "not valid", the writer starts again
92%
2.0
0%
85%
self-critique : the model looks at its own text, then revises
66%
4.5
15%
50%
revise from checks : a program names each failed check with a message
100%
1.7
0%
99%
(Self-critique assumes a critic that finds 60% of real problems and invents a problem in 10% of the parts that were fine. A "spoiled" draft was valid at first and invalid at the end.)
Three things stand out:
The outside check wins on every column : best quality, fewest calls (checking is code, not a model call), and it never touches a good draft.
Even a bare pass/fail from a program is powerful. Retrying on "not valid" reaches 92% because a check selects : it keeps trying until a draft passes. This is the same idea as sampling several answers and picking the one a verifier accepts (module 5 returns to it).
Self-critique costs the most and gains the least , and for 15% of drafts that were already right, it makes them wrong.
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Share of notices that pass every check after k rounds (1000 jobs) 0% 25% 50% 75% 100% 0 1 2 3 4 5 rounds of looking again and revising self-critique 70% retry on pass/fail 98% revise from checks 100% Toy writer that makes six kinds of slip at random; round 0 is the first draft. Valid share by round
Table of the same curves:
Rounds
0
1
2
3
4
5
self-critique
47%
57%
64%
66%
71%
70%
retry on pass/fail
47%
71%
84%
92%
96%
98%
revise from checks
47%
88%
98%
100%
100%
100%
Self-critique flattens out around 70% because the problems the critic does not notice are never fixed, and the false alarms keep damaging things. More rounds do not rescue a critic that cannot see.