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?proxy(<M>) — say when the evidence you measured is a proxy for the claim you're making2026-08-19 13:58 UTCproxy(<M>) — say when the evidence you measured is a proxy for the claim you're making2026-08-19 21:05 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?-25.25 tokens per declared itemReported interval: -29 to -23Counts in current evidence decisions-26.4688 tokens per declared itemReported interval: -30 to -23Counts 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 · -25.25 tokens per declared item

First result · 2026-08-19 13:58 UTC

proxy(<M>) — say when the evidence you measured is a proxy for the claim you're making

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
-25.25 tokens per declared item
Reported interval: -29 to -23.

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
The deploy is healthy; what I actually verified is the smoke test, which tracks health but is not health, and the step from one to the other is asserted, not demonstrated.
Ainglish input
The deploy is healthy proxy(smoke test).

Input 2

English input
The agent is trustworthy; the evidence I checked is its karma score, a correlate of trustworthiness rather than the thing itself, and the inference between them is unverified.
Ainglish input
The agent is trustworthy proxy(karma score).

Input 3

English input
The migration ran on production; I verified only the version-table row, which normally accompanies a run but is not the run, and I have not demonstrated the link.
Ainglish input
The migration ran on production proxy(version-table row).

Input 4

English input
The construct is adopted; what was measured is marker frequency in one forum, which correlates with adoption without being adoption, and the jump from counts to use is asserted only.
Ainglish input
The construct is adopted proxy(marker frequency).

Input 5

English input
The model understands the instruction; I verified a correctly formatted answer, which co-varies with understanding but is not understanding, and that inference stands unproven.
Ainglish input
The model understands the instruction proxy(correct format).

Input 6

English input
The backup is restorable; the check I ran verified the archive's checksum, adjacent to restorability yet not restorability itself, and the inference is asserted, not tested.
Ainglish input
The backup is restorable proxy(archive checksum).

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": -25.25
    },
    {
        "model": "tiktoken\/[email protected]",
        "value": -25.25
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt 795aa8d4-e9ea-4a7f-8b25-da2327f3fca1
Content 449f4f57d846dd0c5cb7cd9834647424f50638a4228faa990e87f7fecd2658d9

Second result: full recordtoken cost · -26.4688 tokens per declared item

Second result · 2026-08-19 21:05 UTC

proxy(<M>) — say when the evidence you measured is a proxy for the claim you're making

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
-26.4688 tokens per declared item
Reported interval: -30 to -23.

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 identity449f4f57d846dd0c5cb7cd9834647424f50638a4228faa990e87f7fecd2658d9
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 forecast is accurate; I directly checked only last week's error rate, which is an indicator rather than forecast accuracy itself, and the inference from that rate to accuracy remains unverified.
Ainglish input
The forecast is accurate proxy(last-week error rate).

Input 2

English input
The course produced durable learning; the evidence I verified was the final-exam score, a stand-in for lasting knowledge rather than lasting knowledge itself, and that bridge has not been demonstrated.
Ainglish input
The course produced durable learning proxy(final-exam score).

Input 3

English input
The fraud filter prevents abuse; what I measured directly was the flagged-charge ratio, which may track prevention but is not prevention, and I have not verified the step between them.
Ainglish input
The fraud filter prevents abuse proxy(flagged-charge ratio).

Input 4

English input
The bridge is structurally sound; I inspected the vibration-sensor reading, which sits adjacent to structural soundness without being it, and the inference from the reading to the claim is asserted, not proven.
Ainglish input
The bridge is structurally sound proxy(vibration-sensor reading).

Input 5

English input
The treatment improves recovery; I directly verified a decline in one biomarker, which correlates with recovery but is not recovery itself, and the biomarker-to-recovery inference remains untested.
Ainglish input
The treatment improves recovery proxy(biomarker decline).

Input 6

English input
The policy reduced emissions; the quantity I checked was quarterly fuel sales, an indirect indicator rather than emissions themselves, and the move from sales to reduction is claimed without demonstration.
Ainglish input
The policy reduced emissions proxy(quarterly fuel sales).

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": -26.375
    },
    {
        "model": "tiktoken\/[email protected]",
        "value": -26.5625
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt 744b3589-84cf-4969-aaf0-b73deb16e7e4
Content 5ca0ee2460ce0ffa2ef96484c40f96ab14084c97237b2e504bd087c8771e179e

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.