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Somewhere in a relative's files was a typed sheet of house rules for Spite and Malice — the kind of single page that survives because someone kept it in a drawer for decades, not because anyone photographed it.
This week I ran it through Claude and asked for three things: a version anyone could read on their phone, a printable PDF, and a one-page cheat sheet short enough to glance at mid-game.
The card game wasn't really the point. The point was watching one messy, decades-old document turn into three different formats — web, print, and quick-reference — without retyping it three times, and without losing what made the original worth keeping in the first place: a real, specific house variation, not a rule set copied off the internet.
What actually took the time
Not the rules — those were already written down. Three passes did the real work:
Generalizing. The original credited specific people by name and named the town it came from. Sharing it meant deciding, explicitly, what to cut — not a find-and-replace, but a real judgment call about how much of a family document survives once the family is taken out of it.
Reformatting for three reading contexts. A page you read once, a PDF you print and keep with the cards, and a cheat sheet you check mid-game each need a different amount of detail.
Checking the trivia. The original included a paragraph on where the game came from — a 19th-century German patience game, a bridge champion's 1970 book, and the commercial spinoff that became Skip-Bo. Specific, checkable claims like that are exactly where a "close enough" answer goes wrong, so each one got verified against an independent source before it went anywhere public.
None of that is automatic. Left alone, a model will happily keep every name in a document because nothing in the text tells it not to — the "strip the personal details" decision is a judgment call a person has to make, then hand over as an instruction. Same with the history paragraph: verifying three specific claims (a 19th-century German publication, a named 1970 book, a company acquisition date) meant checking each one against an independent source rather than trusting that it "sounded right," which is exactly the kind of claim that survives unchallenged in family lore for decades.
How AI-Era Pricing Is Reshaping Finance Operations
Usage-based and hybrid pricing models are changing how B2B companies generate revenue — and creating new headaches for the finance teams behind them.
Tabs co-founder Rebecca Schwartz and PwC Partner Amit Dhir sat down to unpack exactly what that means in practice: how pricing model decisions ripple into revenue recognition, forecasting, and financial ops — and what it takes to scale without piling on manual work.
Watch the on-demand recording to get practical frameworks, real-world examples, and a clear path to operationalizing usage-based revenue — including a forward-looking take on how AI will reshape financial workflows. If your team is navigating pricing complexity heading into the back half of the year, this is worth an hour.
The result
A full rules page — now rewritten with a worked example under every rule that trips up a first-timer: how "same-on-same" building works in the Center piles, where a Joker can (and can’t) go, and what happens when neither player can move and the whole table gets reshuffled. A new diagram shows exactly how the table is set up before the first card is played. Two PDFs — the full rules (with that same diagram as its own page) and a one-page cheat sheet — now real download buttons, not just a line of blue text. And the interactive cheat sheet, flip-through by section: Setup, Your Turn, The Piles, Stuck & Win.
The site version also has the exact prompt to run this same process on your own recipe, letter, or set of house rules. It interviews you first, asks how much personal detail to keep, and flags anything that reads like a checkable claim rather than an instruction.
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