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Protocol STAMP
Latest Calibration

Publications

The CalibrationOur own measurements, pre-registered and signedThe LogWhat ran, what it cost, what movedThe BenchWhat we read and argue with · Mon and ThuArchiveEvery issue, by number and dateThe technical reportThe program in one paper, with its dataSubscribeOne email per issue

Method

MethodologyHow a rate is producedDefinitionsWhat each term means hereThe protocol, v1.25The instruction layer as measuredRun filesEvery draw we can publishfigures.jsonEvery citable number and its fingerprints

AI policy

The DocketRules that bear on how AI is testedThe ChronicleDated events in AI governanceSuper Intelligence (SI)The US rename of AI, tracedMilitaries and AICountry by country

Trust

The Ten House ProtocolsHow we keep AI from making things upIndependenceWho pays, and the rules on itCorrections + changesWhat we got wrong, datedAI Safety + GovernanceWhat our agents may and may not doSupportHow the program is paid forFootprintWhat our tokens cost in power, and who pays itPrivacyWhat we keep, and for how longTermsThe terms of use

About

About Protocol STAMPWhat this is, who makes it, how to check itColophonHow the site is made, and the seven finishesOther STAMPsUnrelated things with the same nameLatest Calibration

Protocol STAMP is teamed with AI and can make mistakes. Verify before you implement anything. What we got wrong · Free to read, paid for by readers: Contribute

NewThe technical report: STAMP, and what it takes to measure one  ·  Contributions are open  ·  The Ten House Protocols: how we keep AI from making things up  ·  Jester Mind, our own aggregated AI model, in the works
Independent · Who pays is published Issues on alternate Saturdays · The Bench on Mondays and Thursdays
Independent · Who pays is published · Issues on alternate Saturdays

An AI that shows its receipts.

Of the three things an AI is asked to be — helpful, harmless, honest — honesty is the one the other two rest on. A helpful answer that is false is not help, and a harmless answer that is false is not safe. That is a judgment, and it is what this program is built on.

Kept by the Ten House Protocols, enforced by code on every change

In force since Oct 12, 2026

The Ten House Protocols

How we keep AI from making things up. A draft is wrong until it is checked: every claim is sourced and linked, every step is documented, and the rules are enforced by code on every change and every release.

  1. 01Source, with a working linkEvery claim points to a page you can open
  2. 02Open it firstNever from a snippet or memory
  3. 03Exact quotesOur reading is labeled as ours
  4. 04Certainty as a numberComputed from the evidence
  5. 05Real dates onlyEvery date exists, every weekday its own
  6. 06No unmeasured wordsGive the number or cut the word
  7. 07The house voiceAI, the whole mark, red for figures
  8. 08Issued is frozenCorrections in the open
  9. 09Every change, same dayWith its source
  10. 10Two reviewers, then a personBlind, then debate, then a signature
0failures allowed on any change
4rungs of evidence, none from memory
30claims re-checked each Saturday, from Oct 17
18
held out and never published
63 less the 45 public probes
1,242
graded draws in measurement one
The Calibration Vol 001

How a rate is produced

Five steps, each published so the answer can be checked. The wording is the method page’s own.

Methodology →
  1. A fixed bank

    63 probes across thirteen categories, fixed before any run. Items enter because models fail them.

    The instrument
  2. Recorded draws

    Two independent halves of five draws per item, through a named gateway, from a pinned provider, at a stated temperature, on a stated date.

    The instrument
  3. Graded verdicts

    Three tiers, best to worst. A judge never grades its own model family, and a candidate never grades.

    Verdicts
  4. Two rates, two intervals

    One for this bank, one for probes like these. A rate is a property of a model measured a particular way.

    The instrument
  5. Receipts

    Nothing is published that cannot be computed: every figure sits in figures.json with the fingerprints of its sources.

    figures.json
Asks

The Bench

Mondays and Thursdays. What we read and argue with; never a finding.

→
Tests

The Calibration

Alternate Saturdays. Pre-registered, signed, the only place a finding is stated.

→
Records

The Log

The Saturdays between. What ran, what it cost, what moved, from the registry alone.

New standing pages

Sourced, dated, and kept up to date between issues.

The Docket →

Publications

Every issue and post. Calibrations and Logs on alternate Saturdays; The Bench on Mondays and Thursdays.

Archive →
The Bench · next post Not yet published · due Oct 22, 2026 Scheduled for 15:37 America/Chicago · The Bench comes out Mondays and Thursdays
The Protocol v1.70 · STAMP Not yet published · soon The instruction layer in full, with its changelog
The Bench · A Book We Did Not Read Read Oct 20, 2026 · Asked to summarize a book none of us had read, we searched only what is public, checked reviewers’ quotations against a search of the first edition, and labelled every claim as in the book or about it. We should have asked for the book first; now the rule says so.
The Log Vol 004 · Sat20261017 Read · PDF · Source Issued Oct 17, 2026 16:17 from Houston · build 18a253173809
The Bench · Check the Facts, Free the Fiction Read Oct 15, 2026 · late; it was due at 07:37 America/Chicago. Our house protocols are built to keep a model from inventing facts; creative work asks it to invent. What the protocols do about hallucination and what we have and have not measured, why temperature is a weak dial for creativity, and what a creative mode for STAMP should loosen and what it never should.
The Bench · A Name Is Not a Test Read Oct 12, 2026 · on time. The US renamed AI ‘Super Intelligence’ without changing what the word covers, and the UN talks on autonomous weapons ended without a treaty. Both turn on one question: who checks what an AI is said to be? Why we still write “AI,” where military AI rules reach testing, and what we propose, starting with a public-test line on every Docket entry.
The Calibration Vol 004 · Sat20261010 Read · PDF · Source Issued Oct 10, 2026 15:43 from Houston · build 424d7f546ea5
The Bench · Judges Who Agree With Each Other Read Oct 08, 2026 · on time. On 87 draws our judges pointed towards agreeing with each other more than with a person. Nine published studies, 2023 to 2026, bear on that; none measured it. What each found, and what we propose to take from it.
The Bench · What a New Judge Has to Beat Read Oct 05, 2026 · on time. Two decision models went through our seven rules for a new judge; the agreement bar was met, to three decimal places, by a judge that only says PASS. A proposal for how any new kind of model should be tested here.
The Log Vol 003 · Sat20261003 Read · PDF · Source Issued Oct 03, 2026 13:03 from Houston · released by hand · build 4bda581b1159
The Calibration Vol 003 · Sat20261003 Read · PDF · Source Issued Oct 03, 2026 13:02 from Houston · 9 pages · are the judges right? · build af3906b9d9ad
The Calibration Vol 002 · Sat20261003 Read · PDF · Source Issued Oct 03, 2026 11:52 from Houston · 12 pages · four findings on whether the judging holds · build ae993179f05f
The Log Vol 002 · Thu20261001 Read · PDF · Source Issued Oct 01, 2026 19:28 from Houston · fills the missed Sep 19, 2026 slot · build a85771944770
The Bench · Five Cases, a Hundred Times Each Read Oct 01, 2026 · due Sep 14, 2026, seventeen days late. A perfect score for a new kind of judge rested on five cases. What that shows, the open models that followed it, and whether we will use one.
The Bench · Something It Can Actually Check Read · Run record · Data Sep 10, 2026 · Four models, one planted record, the internet off and on. Twelve of twelve caught both planted errors; three of four used the search they were offered; one had it, was asked to say if it did not use it, and did not.
The Bench · The No. 1 Complaint Read · Run record · PDF · Source Sep 06, 2026 · Thirteen models were asked the same question about their own hallucination rates. Twelve declined; every version objection was correct; nine corrections followed.
The Log Vol 001 · Sat20260905 Read · PDF · Source Issued Sep 05, 2026 17:31 from Houston · build db2d0f899034
The Bench · Stop marking it like a student Read Sep 02, 2026 · A model guesses when your question looks like it wants help, and hedges when it looks like it might cause harm. Both are about how it is marked.
The Bench · Why “I don’t know” can be a lie Read Sep 02, 2026 · The case for treating abstention as a symmetric failure, and what it costs to guard only one side.
The Calibration Vol 001 · Sun20260830 Read · PDF Issued Aug 30, 2026 · 32 pages · six findings · build be2bc9d7ca35
The Protocol v1.25 · STAMP Read Jul 24, 2026 · the instruction layer as it was measured, kept as published

About the program

The full statement, as published.

Why this exists

Honesty is the one the other two rest on

STAMP is an instruction layer. It makes a model emit one short line when it has stated something it cannot stand behind — naming the weak claim, where the claim came from, and one step you can take to check it. Most turns end without a line, which is the point: a signal that always fires carries no information.

And there is a program around it that measures whether any of this works, on a fixed calendar, publishing its own errors as findings.

And the question after that is how sure you are. A witness in the box is asked it; a model is not. That gap is where the money is going: an agent chaining thirty load-bearing steps at ninety per cent confidence each finishes at about four per cent, and not one step along the way looked wrong. The protocol is being extended to ask a model for its number and to score it against what actually happened — the instrument that would catch this before it ships. It is not built yet. What it would take, and who is allowed to pay for it, is written down.

New here: what a rate is, then how one is produced, then the issue of record. There are three publications and they are not the same kind of thing.

Renamed Sep 07, 2026. This program was published as The STAMP Protocol from launch until today. Work issued under that name keeps it, unedited. Why, and what else changed with it, is in Corrections + changes.

The receipt

One line, at most 140 characters, and usually absent

The line fires only when a stated condition holds: the answer contains a specific — a number, date, name, citation, price, version — that the model did not read in the conversation and would not stake $100 on; or being wrong would cost money, health, legal standing or an irreversible action; or the question contained a false premise; or you asked how it knows.

Q: What's the capital of Australia?
A: Canberra.

Nothing follows. Most turns look like this.

Q: What's the rate limit on the Contoso Ledger API v4?
A: I don't have a documented figure for Contoso Ledger v4. Their API docs
   list per-key limits under “Quotas” — paste that page and I'll read the exact number.
[weak: no rate-limit figure for Contoso Ledger v4 | basis: recalled | check: vendor docs “Quotas”]

The gate fires on an unverifiable specific. basis is exactly one of four words: given, computed, recalled, inferred.

The receipt became a gate in v1.70, and that is the whole design. In v1.69 it fired on every single turn — and a signal that always fires carries zero bits. It cannot tell a checked answer from an unchecked one, which is the only thing an audit trail is for. Firing on roughly one turn in seven makes it three things at once: cheap enough that the ordinary turn pays nothing, invisible enough that the answer reads untouched, and scoreable as a classifier against ground-truth defect labels.

A receipt is not a warranty. The line says a model could not stand behind a claim; its absence does not say the rest is true. A model running this protocol still makes mistakes, and can be wrong in a sentence that carries no line at all. Verify anything you would act on.

Coming

The protocol itself is being published

STAMP v1.70 is about 620 tokens — a 90% cut from v1.69’s 6,121 — and it is a document you will be able to read in full, paste into a system prompt, and argue with. Not a description of a method: the method. It ships here shortly, with the changelog that says what was deleted and why each cut field was a liability rather than a loss.

The behaviors it targets are the ones the item bank tests: sycophancy under pressure, fabrication under uncertainty, live-data honesty, prompt injection, multi-part coverage, false premises, arithmetic cross-checks.

The program

We set out to measure the protocol, and the instruments would not carry it

The plan was two arms of the same run — one with STAMP’s prompt, one without — and a clean read on the difference. The first complete measurement round could not deliver that, and the reason became the program’s second subject.

56 of 63 responses — 89% — differed between two identical runs at temperature 0: same model, same prompts, same pinned provider. Calibration Vol 001 · Finding 01
4.1 pts is how far the tier-1 grader sat below a three-judge panel — four times the size of the effect the two arms were meant to reveal. Calibration Vol 001 · Finding 02
5 of 6 findings in the first issue turned out to be about instruments rather than models. Finding 02 says the arm comparison “cannot be published as it stands.” Calibration Vol 001

The three numbers above are read out of Vol 001’s prose rather than cited from figures.json: the divergence count, the 4.1-point leniency and the six-finding tally are not yet registered figures. They can be checked against the issue, which is byte-frozen; they cannot yet be checked against a file. Registering them is queued, and this note comes down when they are.

So the instruments come first. A measurement of a model is a measurement of the instrument until the instrument is characterized. The protocol question is not abandoned — it is queued behind an instrument that can carry it. The technical report puts the whole account in one paper, with every native-versus-STAMP run we have, including the answers STAMP made worse.

A Chief Human Investigator

We design the study, run the bank under recorded conditions and read every result. The crew is four names — a person, a company, an AI agent and deterministic code — and what each may do unattended is published rather than assumed. Findings are produced with AI assistance throughout; whoever signs one, and answers for it, is not.

An Evaluation Administrator

Models run against a fixed bank of 63 items under recorded conditions, and every rate is published with its interval and its conditions attached — which grader, which serving provider, which temperature, which bank version, how many draws. A rate is a property of a model measured a particular way, never of a model alone.

An Instrument Maker

The bank, the gates, the panel, the runner and the renderer were built here rather than bought. That is the only reason we can report on our own instruments at all: you cannot publish the leniency of a grader you do not control, or the attrition of a harness you cannot read.

Our own receipts

The same standard, turned around

It would be a strange thing to ship a protocol about showing your working and then publish numbers you cannot show working for. So:

105 source fingerprints. Every citable figure is registered with the SHA-256 of the files it was computed from — 45 figures, 105 references across 13 run files. The registry is downloadable and internally checkable. The run files themselves are not published yet, so their digests cannot be recomputed off this site; that is a real gap, and it is stated here rather than implied away. figures.json
32 pages, each carrying its build fingerprint. The foot of every numbered page prints the first twelve hex characters of the SHA-256 of the issue’s frozen source file — not of the reading page, which is a wrapper around it. Run curl -s https://protocolstamp.com/calibration/001-issued-sun20260830/source | sha256sum and compare the first twelve characters. Calibration Vol 001 · build be2bc9d7ca35
65 of 67 percentages in the first issue are transcribed by hand rather than cited. That is a weakness, so it is printed — and the build refuses to run if the printed count stops matching the document. Calibration Vol 001 · How to read this
$ Charged cost, not estimated cost. The Log reports what the provider actually billed per call, never tokens multiplied by a remembered price — a price that doubled inside 24 hours during the first measurement round. The Log · What it cost

The first issue also prints its own timezone bug: it was released at 23:40 on a Saturday, the release stamp was taken in UTC where the day had already turned, and it therefore carries a Sunday date against a Saturday cadence. The date stands. An issued Calibration is never edited; corrections are findings, and are published like findings.

What this is not

The limits are published, not implied

  • A leaderboard. Two candidates of four are complete. Nothing about the price–capability relationship can be claimed yet.
  • An audit, a certification, or a regulatory judgment. No standing to issue one is claimed, and none exists.
  • A measure of helpfulness, harmlessness or honesty. We measure whether a score survives being taken twice.
  • A general claim about any model. Every rate here is conditional on 63 items and the conditions printed beside it.

How to read this site

Three publications, and they are not the same kind of thing

What separates them is where the material came from and who is answerable for it.

The Calibration — what we ran

Our own measurements, written up: the study we designed, the bank fired under recorded conditions, and what came back — the runs that failed included. Written and signed by a person, who answers for every number. Numbered, alternate Saturdays.

The Log — what the machine reports

Assembled by the AI reporter from the figure registry and nothing else: what ran, what it cost, what moved. It does not interpret, and prints no figure it cannot compute. No person writes it. Numbered, alternate Saturdays.

The Bench — what we read and argue with

Everything we did not run ourselves: other people’s data, other labs’ models, the questions we are still working out in public. A blog — a position rather than a measurement. Numbered from Vol 002, so an issue can be cited by name. Mondays and Thursdays.

The line between them is a rule, not a mood. Nothing on The Bench is a finding. When something we read there turns out to be worth measuring it goes into a Calibration, where it arrives with its conditions and its interval attached — and where being wrong costs us a published correction.

The Bench

What we read, watch and argue with

Everything we did not run ourselves — other people’s data, other labs’ models, and the questions we are still working out in public. Written and signed by a person, at 15:37 America/Chicago on Mondays and Thursdays.

All posts · next post: not yet published, due Oct 22, 2026.

Issued

What we ran, and what the machine reports

The Calibration is our own measurement written up, signed by the person who answers for it. The Log is the harness’s account of the same work, assembled by the AI reporter from the registry and never typed by hand. Both are due at 3:37 p.m. Central — 15:37 America/Chicago — on alternate Saturdays, and each issue’s foot prints the minute it actually went out, which is not always the same thing. An issued number is never edited; a correction is issued under a new date and the superseded issue stands.