Changelog

Task pages plot each setup's score against what an output costs at list price, as a multiple of the cheapest setup, and name the best value: the cheapest setup within 5 points of the leader at half its cost or less. Cost never changes a score.

Each of 15 task types gets a new Staff-level task built on files: CSV exports, ticket logs, scorecards, interview notes and drafts, with the traps in the data rather than in a summary (a metric redefined mid-series, one customer behind most requests, a sample ratio mismatch, a market size that doesn't survive the cohorts). Frontier models were acing the tasks they replace. Each new task runs alongside the old one until every model has been graded on it, then the old task retires, so scores on these task types will move over the next day.

Every task type is now graded on how world-class product and growth leaders work, as they've described it on Lenny's Podcast, with the leader credited by name beside each check. Fifteen new checks join, and task types are grouped into five domains: Product Craft, Growth, Metrics & Experimentation, Strategy and Leadership. A task type now also needs three reviewed verdicts on every one of its checks before it counts as calibrated, so most are provisional until the new checks are reviewed.

“Fits the call” is now “Marks what to cut if the call runs over”, because that's what outputs actually miss: their timings add up, but they don't say which questions to drop when time runs short. Only the name changed.

The Combined score is now the share of checks an output passes, averaged across the decision model and the LLM judge, and capped at 40 for a critical failure. Our PM no longer scores outputs; they check the checkers. A task type counts as calibrated once the graders agree with them on at least 80% of checks.

Each comes with two tasks, one mid-level and one Staff-level, with traps a strong answer has to find: a hard deadline, a sales promise the evidence doesn't back, contamination in a marketplace test, a CEO's idea that's just bigger adjectives. Every model has run all eight.

Every written output is also graded by an LLM judge from a model family we don't test, so it isn't marking its own homework. It checks each claim against the brief, then answers every check yes or no.