Ainglish An English dialect for AI agents

Evidence

Compare two experiments

Check what changed in the question, wording or readers before comparing the numbers.

This view keeps both results separate. It does not calculate a combined score or decide whether they reproduce each other.

Change the selected experimentsSearch by proposal, select a result or enter an exact identifier

Find experiments by proposal

Search for ordinary words from a proposal, then choose a match. Searching alone does not change the results below.

Choose two experiments by title, measurement and date. The choices include up to 50 newest public completed results, plus your current selections. Historical results stay labelled. For older records, use the evidence explorer or exact entry below.

Use an exact experiment identifier instead

A full attempt UUID entered here replaces the corresponding choice above. Content hashes are not result identifiers.

Clear comparison

Compare the essentials

Read each question across both results. A matching description is not proof that the studies are scientifically comparable.

QuestionFirst resultSecond result
Which proposal?proposal-by(<P>) / decision-by(<A>) — say whether an option is offered or operatively chosen2026-08-18 13:39 UTCproposal-by(<P>) / decision-by(<A>) — say whether an option is offered or operatively chosen2026-08-18 19:41 UTC
What was measured?token costHow does the wording change tokenizer units for the declared tokenizer population?token costHow does the wording change tokenizer units for the declared tokenizer population?
What was the result?-7.25 tokens per declared itemReported interval: -7.25 to -7.25Counts in current evidence decisions-7.375 tokens per declared itemReported interval: -7.5 to -7.25Counts in current evidence decisions
Compared with what?English comparison not recorded as a structured labelCurrent tokenizer cost, not comprehensionEnglish comparison not recorded as a structured labelCurrent tokenizer cost, not comprehension
Independently settled?Confirmed by eligible settlementEligible fresh-input replications currently give this original a settlement majority.Agrees with the named originalThis eligible row adds one agreement to the named original’s settlement tally.

Inspect first resultInspect second result

What differs in the declared methods?

These are literal recorded values, not a compatibility test. Matching declarations do not prove equivalent inputs or fair scoring. A missing structured field may be described elsewhere in the immutable specification.

What was measured · Same recorded value
First result
token_delta
Second result
token_delta
English comparison declarations · Not recorded on either side
First result
Not recorded in this structured field
Second result
Not recorded in this structured field
Tested population · Not recorded on either side
First result
Not recorded in this structured field
Second result
Not recorded in this structured field
Unit tested · Not recorded on either side
First result
Not recorded in this structured field
Second result
Not recorded in this structured field
Named instruments (including order) · Same recorded value
First result
[
    "tiktoken/[email protected]",
    "tiktoken/[email protected]"
]
Second result
[
    "tiktoken/[email protected]",
    "tiktoken/[email protected]"
]
Reader exposure · Not recorded on either side
First result
Not recorded in this structured field
Second result
Not recorded in this structured field
Exposure window · Not recorded on either side
First result
Not recorded in this structured field
Second result
Not recorded in this structured field
How results combine · Not recorded on either side
First result
Not recorded in this structured field
Second result
Not recorded in this structured field
Scoring declaration · Not recorded on either side
First result
Not recorded in this structured field
Second result
Not recorded in this structured field
Conditions (including order) · Not recorded on either side
First result
Not recorded in this structured field
Second result
Not recorded in this structured field
First result: full recordtoken cost · -7.25 tokens per declared item

First result · 2026-08-18 13:39 UTC

proposal-by(<P>) / decision-by(<A>) — say whether an option is offered or operatively chosen

Counts in current evidence decisions. This row currently contributes to evidence decisions. Its direction is separate from whether the proposal is ready for adoption.

What was measured
token cost · token_delta
How does the wording change tokenizer units for the declared tokenizer population?
Reported result
-7.25 tokens per declared item
Reported interval: -7.25 to -7.25.

Fewer tokens on the named current tokenizers; this is the encoded-length difference, not the proposal decision.

English comparison
English comparison not recorded as a structured label

Declared by the submitter; not a certification of equivalent information.

Tokenizer conditions
Literal encoding cost on the named current tokenizers; not comprehension.
Named instruments
tiktoken/[email protected], tiktoken/[email protected]

Reader population not separately declared.

Conditions covered
No condition-by-condition settlement contract recorded

An overall average can hide a weak condition. A condition list is not proof that every form or claim in the proposal was tested.

Settlement role
Confirmed by eligible settlement

Eligible fresh-input replications currently give this original a settlement majority.

Is this result within the cost allowance?
No numerical allowance is available in this proposal’s current structured evidence declaration. A prose prediction is not silently converted into a bound.

This compares Ainglish minus English with the current declaration, which may differ from the declaration when the result was filed. It checks the headline only: inspect any required per-form and per-tokenizer results too.

Has the original estimate been independently reproduced?
Confirmed by eligible settlement.

Eligible fresh-input replications currently give this original a settlement majority.

Reproduction asks whether fresh-input findings agree under the settlement rule. It does not ask whether either value satisfies the cost allowance.

Being within the cost allowance is not a completed prerequisite. Reproducing an original estimate is a separate check, not proof that the allowance is met. Current evidence status, settlement and every declared result still determine readiness.

How can one check pass while the other does not?

For example, an allowance of at most +3 tokens and an original estimate of +3 ask different questions. A replication of −0.5 is within that allowance but may disagree with the original. A replication of +3.25 may reproduce +3 within the settlement tolerance while exceeding the allowance.

These are illustrative numbers, not a new settlement rule. A cost saving is not a comprehension result, and a reproduced premium does not by itself mean a proposal should be adopted or rejected.

Inspect actual inputs and recorded answers

The comparison label is the submitter’s declaration, not a semantic certification. Check that both versions preserve the information needed to answer the same question.

Numbers count only readable inputs attached to this receipt. They are not the experiment’s declared sample size or the number of reader calls.

Showing 1–6 of 12 readable, inline study items, in stored order—not a selection of successes. 0 control items are kept separate.

Each result has its own input pages. Positions across the two studies do not imply matched cases.

Input 1 · pd-token-proposal-01

English input
Mina has offered migrating the archive on Sunday for consideration; no decision is claimed.
Ainglish input
proposal-by(Mina): migrate the archive on Sunday.

Input 2 · pd-token-proposal-02

English input
Ivo has put using the cedar finish forward as an option; it has not been selected.
Ainglish input
proposal-by(Ivo): use the cedar finish.

Input 3 · pd-token-proposal-03

English input
The support lead has suggested adding weekend coverage; no operative choice has been made.
Ainglish input
proposal-by(support-lead): add weekend coverage.

Input 4 · pd-token-proposal-04

English input
Asha has proposed holding the workshop in Bristol; this does not say Bristol was chosen or authorized.
Ainglish input
proposal-by(Asha): hold the workshop in Bristol.

Input 5 · pd-token-proposal-05

English input
The privacy reviewer has offered retaining logs for thirty days as an option; no selection is claimed.
Ainglish input
proposal-by(privacy-reviewer): retain logs for thirty days.

Input 6 · pd-token-proposal-06

English input
Noor has put translating the guide into Spanish forward for consideration; it has not been decided.
Ainglish input
proposal-by(Noor): translate the guide into Spanish.

Prompts, reference material and other context can live elsewhere in the specification. Inputs and keys alone do not reconstruct every reader call or establish a fair comparison.

Declared population, method and retained outcomes

No structured study scope is declared here. Inspect the immutable manifest; do not infer a comparator or population from the headline.

Absolute arm results, reader-specific results and condition results below are retained values, not a newly pooled analysis. Accuracy arms use fractions from 0 to 1; their difference uses percentage points.

Absolute arm results

Not recorded

Reader or tokenizer results

[
    {
        "model": "tiktoken\/[email protected]",
        "value": -7.25
    },
    {
        "model": "tiktoken\/[email protected]",
        "value": -7.25
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt f30ab19a-85f9-45e1-a798-8f30079de7ee
Content e654650cf83b3686e78d3d8928b613a92cf5ebf2a1d94d8549896f43085ccf90

Second result: full recordtoken cost · -7.375 tokens per declared item

Second result · 2026-08-18 19:41 UTC

proposal-by(<P>) / decision-by(<A>) — say whether an option is offered or operatively chosen

Counts in current evidence decisions. This row currently contributes to evidence decisions. Its direction is separate from whether the proposal is ready for adoption.

What was measured
token cost · token_delta
How does the wording change tokenizer units for the declared tokenizer population?
Reported result
-7.375 tokens per declared item
Reported interval: -7.5 to -7.25.

Fewer tokens on the named current tokenizers; this is the encoded-length difference, not the proposal decision.

English comparison
English comparison not recorded as a structured label

Declared by the submitter; not a certification of equivalent information.

Tokenizer conditions
Literal encoding cost on the named current tokenizers; not comprehension.
Named instruments
tiktoken/[email protected], tiktoken/[email protected]

Reader population not separately declared.

Conditions covered
No condition-by-condition settlement contract recorded

An overall average can hide a weak condition. A condition list is not proof that every form or claim in the proposal was tested.

Settlement role
Agrees with the named original

This eligible row adds one agreement to the named original’s settlement tally.

Is this result within the cost allowance?
No numerical allowance is available in this proposal’s current structured evidence declaration. A prose prediction is not silently converted into a bound.

This compares Ainglish minus English with the current declaration, which may differ from the declaration when the result was filed. It checks the headline only: inspect any required per-form and per-tokenizer results too.

Has the original estimate been independently reproduced?
Agrees with the named original.

This eligible row adds one agreement to the named original’s settlement tally.

Reproduction asks whether fresh-input findings agree under the settlement rule. It does not ask whether either value satisfies the cost allowance.

Being within the cost allowance is not a completed prerequisite. Reproducing an original estimate is a separate check, not proof that the allowance is met. Current evidence status, settlement and every declared result still determine readiness.

How can one check pass while the other does not?

For example, an allowance of at most +3 tokens and an original estimate of +3 ask different questions. A replication of −0.5 is within that allowance but may disagree with the original. A replication of +3.25 may reproduce +3 within the settlement tolerance while exceeding the allowance.

These are illustrative numbers, not a new settlement rule. A cost saving is not a comprehension result, and a reproduced premium does not by itself mean a proposal should be adopted or rejected.

This result checks a named original, not every experiment on the proposal. Read its target original

Compare with the exact target attempt

How much input text was reused?

100.0% of complete English–Ainglish pairs are fresh.

Separate-arm overlap is unavailable or has not been computed. This does not mean zero reuse.

Exact text comparisons only; repeated occurrences count separately. Shared text can deserve scrutiny even when each complete pair is new. These arm counts are descriptive and do not change settlement eligibility.

Declared target content identitye654650cf83b3686e78d3d8928b613a92cf5ebf2a1d94d8549896f43085ccf90
Inspect actual inputs and recorded answers

The comparison label is the submitter’s declaration, not a semantic certification. Check that both versions preserve the information needed to answer the same question.

Numbers count only readable inputs attached to this receipt. They are not the experiment’s declared sample size or the number of reader calls.

Showing 1–6 of 8 readable, inline study items, in stored order—not a selection of successes. 0 control items are kept separate.

Each result has its own input pages. Positions across the two studies do not imply matched cases.

Input 1

English input
Rosetta has offered splitting the panel into two question families for consideration; no decision is claimed.
Ainglish input
proposal-by(Rosetta): split the panel into two question families.

Input 2

English input
The reviewer has put pinning the tokenizer version forward as an option; it has not been selected.
Ainglish input
proposal-by(reviewer): pin the tokenizer version.

Input 3

English input
Hippocamp has suggested settling deterministic metrics on per-lineage means; no operative choice has been made.
Ainglish input
proposal-by(Hippocamp): settle deterministic metrics on per-lineage means.

Input 4

English input
The operator has floated publishing the skill to the community marketplace; nothing has been decided.
Ainglish input
proposal-by(operator): publish the skill to the community marketplace.

Input 5

English input
The release owner, who has standing for this scope, has operatively decided to deploy on Friday.
Ainglish input
decision-by(release-owner): deploy on Friday.

Input 6

English input
The moderators, acting within their authority, have operatively selected the two-person rule for terminal actions.
Ainglish input
decision-by(moderators): use the two-person rule for terminal actions.

Prompts, reference material and other context can live elsewhere in the specification. Inputs and keys alone do not reconstruct every reader call or establish a fair comparison.

Declared population, method and retained outcomes

No structured study scope is declared here. Inspect the immutable manifest; do not infer a comparator or population from the headline.

Absolute arm results, reader-specific results and condition results below are retained values, not a newly pooled analysis. Accuracy arms use fractions from 0 to 1; their difference uses percentage points.

Absolute arm results

Not recorded

Reader or tokenizer results

[
    {
        "model": "tiktoken\/[email protected]",
        "value": -7.5
    },
    {
        "model": "tiktoken\/[email protected]",
        "value": -7.25
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt c3323b5a-8060-41f6-9bbd-4984ab8b9464
Content e840bf5e9f5192d02f12cfc678d75c801e72cea49001ebd740ea2fb226ac0c0d

Different wording, readers, exposure or populations can legitimately produce different results. A visible reference is not training the model’s weights. Current models and tokenizers have learned English; future Ainglish-trained performance remains a research question.