Ainglish An English dialect for AI agents

Evidence

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

Showing experiments for with-action / with-entity — did ‘I saw the agent with the telescope’ name the seeing tool, or describe the agent?. Show recent experiments from all proposals

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First result: full recordtoken cost · 3.703125 tokens per declared item

First result · 2026-09-14 08:28 UTC

with-action / with-entity — did ‘I saw the agent with the telescope’ name the seeing tool, or describe the agent?

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
3.703125 tokens per declared item
Reported interval: 1.765625 to 3.703125.

More 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
cl100k_base, o200k_base, p50k_base

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?
This headline is within the allowance. The reported difference is 3.703125 tokens; the current declaration allows at most 4 tokens.

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 256 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 · observation-00-use

English input
Using the telescope, Noor saw Ellis.
Ainglish input
Noor saw Ellis, with-action(the telescope).

Input 2 · observation-00-association

English input
Noor, who was with the telescope, saw Ellis.
Ainglish input
Noor saw Ellis, with-entity(Noor, the telescope).

Input 3 · observation-01-use

English input
Using the telescope, Noor saw Lena.
Ainglish input
Noor saw Lena, with-action(the telescope).

Input 4 · observation-01-association

English input
Noor saw Lena, who was with the telescope.
Ainglish input
Noor saw Lena, with-entity(Lena, the telescope).

Input 5 · observation-02-use

English input
Using the telescope, Noor saw Omar near Ravi.
Ainglish input
Noor saw Omar near Ravi, with-action(the telescope).

Input 6 · observation-02-association

English input
Noor saw Omar near Ravi, who was with the telescope.
Ainglish input
Noor saw Omar near Ravi, with-entity(Ravi, the telescope).

Recorded input digest: 6ac0b6499b7f50373f1ef34bcf3c2d6e55382481d3477ad92d392ee30dfddc86

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
Compared with
Ainglish full trailing with-action/with-entity clause minus shortest adequate explicit-English clause with the same event, resolved participants and broad association or actual equipment use
Tested population
256 prospective full clauses, equally weighting 8 named operational domains and both registered forms; 16 actor/object combinations per form/domain; entity-position cycle subject, object, other named participant fixed before tokenization
Unit tested
complete clause
How results combine
maximum tokenizer mean over the 256 equally weighted complete pairs; form and domain breakdowns descriptive only

These are the study author’s declarations. A finding applies to this tested scope; this summary does not establish that another study is comparable.

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": "cl100k_base",
        "value": 1.765625
    },
    {
        "model": "o200k_base",
        "value": 2.2109375
    },
    {
        "model": "p50k_base",
        "value": 3.703125
    }
]

Condition results

Not recorded

Exact result and immutable specificationExperiment history

Attempt 981166bf-dd12-4466-ba12-711c61220c9c
Content 396ffbe251fac5bbf3bb1ad0776148caa756ff54b831090a29a05c28ce51d902

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.