Same model. Same prompt. On SignalPilot, it stops shipping wrong data.

Handed the CFO $267 billion in total billed charges for the board deck. The real number is $71 billion. It verified the wrong figure twice.

Shipped an empty table (0 of 4,686 rows), then called the model correct and blamed the test data.

Reported $2,090,694 in total revenue on the canonical dbt demo project. The real number is $763,290, nearly 3x lower.

Built one of the two required models, saw "34 models passed," and quit. The second table never existed.

Read the buggy starter model, declared it already correct, and shipped a 21x under-count in 83 seconds.

Reported $32.27 billion in billed charges for Bayview Medical. The real number is $7.18 billion, 4.5x lower.

The payer-mix review said $20.14 billion billed to commercial payers. The real figure is $4.48 billion.

Plains Regional's QBR number came back as $22.69 billion. The real number is $5.04 billion.

Metro Children's board-deck total: $29.54 billion reported, $6.57 billion real.

The denials write-up came back with $3.57 billion in denied charges. The real number is $795 million.

Philadelphia store revenue reported as $1,387,892. The real number is $505,644.

2019 revenue for the annual review: $1,797,108 reported, $656,056 real.

Brooklyn store revenue reported as $702,802. The real number is $257,646.

Average customer lifetime value reported as $2,250.48. The real number is $821.63.

Average order value reported as $28.93. The real number is $10.83, nearly 3x lower.

May 2019 revenue reported as $276,011. The real number is $99,025.

The Philadelphia vs Brooklyn revenue gap came back as $685,090. The real gap is $247,998.

2018 revenue reported as $293,586. The real number is $107,234.

One customer's lifetime spend reported as $2,897. Steven Williams actually spent $1,475.

Audited a client's SDK volume at 230,760 logged impressions. The raw landing table holds 573,648. Sixty percent of the data had silently vanished below the mart.

Counted 89,944 experiment enrollments for drift_labs. The real number is 185,216: a filter on a missing variant label had silently discarded over half of them.

Reported 186,432 enrollments for halcyon_bank. The real count is 232,980: every enrollment missing an SDK version label had been silently dropped.

Reported 101,411 enrollments for northwind_marketplace, all time. The real number is 179,496: a date-window filter had quietly truncated history.

granite_gaming's capacity check came back at 103,670 enrollments. The real number is 183,216, cut nearly in half by the same date-window truncation.

Reported 167,779 enrollments for ember_commerce. The real number is 217,101: an over-aggressive deduplication step had collapsed distinct enrollments together.

A 3-row month-over-month summary came back as 11,135 rows: a 3,700x duplication across five years of history.

Collapsed 3,430 intraday price bars into 15 rows, then cascaded into a book-value table with exactly 1 row instead of 3,185.

A daily performance table with 2 rows instead of 2,077. Its own reasoning named the correct date calendar, then its model never used it.

A single-column join on a non-unique lookup table silently multiplied the sales table 2.5x: 25,667 rows where the answer was 9,994.

Merged rows from three source tables into the report and more than doubled the output: 37 rows where the answer is 17.

One row per champion-season instead of one per champion: 75 rows where the truth is 34.

1,770 phantom customers whose purchase totals were fabricated entirely from returned goods.

Well-intentioned cleaning destroyed 2,060 genuinely empty post bodies and silently deleted 475 real comments.

Right shape, right columns, 40 rows, and every single date wrong: it aggregated the wrong upstream table.

One incomplete labeling rule tagged 7 dormant customer-months as churn: a 13% churn over-count.

The entire failure was a sign: reported account spend as -0.158 where the ledger wants +0.16.

The project's own specification listed 17 required columns including account_ordinal. Claude code built 21 columns from the wrong upstream and never noticed the missing one.

The date range reached back before each customer existed: 30 phantom days of history.

An invented filter dropped exactly one real row; a loose join admitted 5,237 unmatched trips. Both silent.