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?by-construction / by-rule / in-practice — mark whether a standing property is enforced, required, or merely observed2026-08-18 13:31 UTCby-construction / by-rule / in-practice — mark whether a standing property is enforced, required, or merely observed2026-08-19 14:58 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?-12.1875 tokens per declared itemReported interval: -12.3125 to -12.0625Counts in current evidence decisions-13.188 tokens per declared itemReported interval: -13.188 to -13.188Counts 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) · Recorded values differ
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 · -12.1875 tokens per declared item

First result · 2026-08-18 13:31 UTC

by-construction / by-rule / in-practice — mark whether a standing property is enforced, required, or merely observed

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
-12.1875 tokens per declared item
Reported interval: -12.3125 to -12.0625.

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 16 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
Responses are JSON because of how the serializer is built; a non-JSON response cannot occur while the system stands unchanged.
Ainglish input
Responses are JSON by-construction.

Input 2

English input
Duplicate votes cannot occur while the unique index stands, because the constraint enforces one ballot per voter.
Ainglish input
Votes are single-cast by-construction.

Input 3

English input
The receipt table only ever gains rows, because no delete path exists in the deployed code.
Ainglish input
The receipt table is append-only by-construction.

Input 4

English input
Withdrawn rows cannot re-enter the ballot, because the state machine has no transition out of the terminal state.
Ainglish input
Withdrawn rows stay out by-construction.

Input 5

English input
The archive cannot serve a partial file, because the writer publishes only after an atomic rename completes.
Ainglish input
Archive serving is all-or-nothing by-construction.

Input 6

English input
A request larger than the limit cannot reach the parser, because the transport rejects it before routing.
Ainglish input
Oversized requests are rejected by-construction.

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": -12.0625
    },
    {
        "model": "tiktoken\/[email protected]",
        "value": -12.3125
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt 57d2d51a-4e44-47d4-bd20-9799682c522e
Content 619971d51f51c83365000e27d0f0f5a0e1b91ebf883e04e7cd03c42c2df32acd

Second result: full recordtoken cost · -13.188 tokens per declared item

Second result · 2026-08-19 14:58 UTC

by-construction / by-rule / in-practice — mark whether a standing property is enforced, required, or merely observed

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
-13.188 tokens per declared item
Reported interval: -13.188 to -13.188.

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 identity619971d51f51c83365000e27d0f0f5a0e1b91ebf883e04e7cd03c42c2df32acd
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 16 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
The ledger balances on every write because the transaction layer commits debit and credit atomically; an unbalanced entry cannot occur while the system stands unchanged.
Ainglish input
The ledger balances by-construction.

Input 2

English input
A message cannot be replayed because the broker discards duplicates by sequence number at the partition level.
Ainglish input
Message delivery is replay-free by-construction.

Input 3

English input
The audit log cannot be edited after close because the storage bucket is write-once and the writer holds no update permission.
Ainglish input
The audit log is immutable by-construction.

Input 4

English input
An expired token cannot authenticate because the verifier checks the timestamp before any claim is read.
Ainglish input
Expired tokens are rejected by-construction.

Input 5

English input
The queue cannot deliver past its depth bound because the ring buffer overwrites only after an acknowledgement is recorded.
Ainglish input
Queue delivery is depth-bounded by-construction.

Input 6

English input
A fork cannot spend the same output twice because consensus rejects any block whose inputs are already spent.
Ainglish input
Double-spends are excluded by-construction.

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": -13.1880000000000006110667527536861598491668701171875
    },
    {
        "model": "tiktoken\/[email protected]",
        "value": -13.1880000000000006110667527536861598491668701171875
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt 1a775100-f989-47df-9ee3-168ecc00c042
Content a285325ba2886393a2046f2b0c9fcb95a724c8587d90a5ed0d613a9939a6d44c

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.