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Gevurah

The record

Numbers with their caveats attached, including the one we deleted.

Every figure comes from a single frozen source of record and carries its window. The claim that did not survive review is on this page too, because that is the part that makes the rest worth reading.

Method

Every number here comes from one record, and carries its window.

There is a single source of record for the figures on this site, frozen as a snapshot on 12 August 2026. Nothing is estimated, nothing is rounded up into a better story, and any figure that could not be traced back to a counted source was removed rather than softened. Where a number has a caveat, the caveat travels with it on the same screen.

The rule that produced this page

A number without its unit and its window decorates a page. It cannot support a claim. Ranges are published as ranges. Self-assessed fields are labelled as self-assessed. A measurement that turned out not to hold is deleted from the marketing material rather than reworded.

Reliability

44.5% to 63.4%, and why it is a range.

Delegation record, 102 days
MeasureValueNote
Work orders1,195Live queue and archives.
Results on disk929Includes orphaned or unlinked results.
Tasks with a linked result839The measurement base.
Work orders with no result35629.8% of all work orders.
Clean on first attempt532The upper end of the range.
Partial17721.1% of the base.
No outcome label11213.3% of the base.
Full failure101.2% of the base.
Escalations to a human96The system stopping and asking.
A horizontal scale from zero to one hundred percent with a band drawn between 44.5 percent and 63.4 percent. The exact value inside the band is not known, because 356 work orders carry no result record.

The upper end, 63.4%, counts 532 clean results against the 839 tasks that have a linked result. The lower end, 44.5%, counts the 356 work orders with no result record as failures, against all 1,195. Neither end is the truth on its own, which is why the range is published rather than the number that flatters.

Self-assessment

The outcome field is written by the executing agent about its own run. This is self-assessment and not independent review. It is the weakest link in the measurement and it is stated everywhere the range appears.

Throughput

What the system actually did.

7,321

outbound actions logged over 92 days

A frozen snapshot. The ledger keeps writing.

484

uptime checks per day

An infrastructure measure. It says the system is up, and says nothing about whether an agent did good work.

101

scheduled business automations

75 ran in the 24 hours before the audit and 89 in the week before it. 11 of the 101 currently return a non-zero exit code.

The runtime layer

A new runtime layer was built on 6 August 2026. The first six flows were migrated onto it from Windows Task Scheduler and ran 4,365 flows with 16 failures. The rest of the scheduled work is still on the old scheduler, and the migration is happening in waves.

Review

The strongest number on this page is the one we deleted.

An earlier draft of our own material carried a reliability headline over a multi month window. The claim was checked before publication and rejected as wrong. The measurement window was 5.24 days, not months. The overwhelming majority of the runs came from two polling loops rather than from business work, and the two together account for 99.1% of them. Inside that flattering average, one real flow, the invoice pipeline, had failed 5 times out of 8.

The claim never went out. It was removed from every asset and replaced with the runtime wording above. This is what the review layer is for, and it is the reason to trust the numbers that survived it.

Reliability measurement, honestly

833 of the 839 measured tasks ran once only, and 6 got a second attempt that already carried information from the first. pass^k cannot be derived from a historical record like that, so we built a harness that starts every attempt from a clean workspace, enforces a negative control, and requires an explicit reversibility approval. It is public under MIT at github.com/oreno334/passk. There is no canonical score for this system, and results will be reported separately.

Outcome

The business it runs, as the platform measures it.

The advertising this system runs returns close to a tenfold return as Google measures it. That is ad platform attribution and not audited sales, and the distinction matters enough to print next to the figure rather than in a footnote.

Alongside it, the same system operates a store assistant with 458 customer conversations and 2,595 messages since May, and a messaging worker handling live customer traffic. These are operational counts from a real business, which is the only kind of evidence this site publishes.

Read the limits in full

Every figure on this page has a boundary, and the boundaries are published in the same voice as the numbers. What we do not claim is the canonical limits record, in full, including the parts that are unflattering.