Executive Order Translator

Challenge

Executive orders move real policy: how agencies spend money, who gets hired, and what gets enforced. They arrive as dense Federal Register prose, wrapped in statutory cross-references, in a format almost nobody reads, so most people learn what an order does from a headline or someone's quick take. AI can summarize anything now, instantly and cheaply, which leaves a summary on its own worth almost nothing, because you have no way to know whether it stays faithful to the source. I wanted plain language a person could trust on sight, with the proof one click away.

Build

The plain language is written blind. The model that drafts each summary never sees the raw executive order. It works from a structured distillation of the facts, who has to act, what they have to do, and whether the action is required or merely allowed, with the original legal wording held back. It stays out of trouble because it never holds the words it might paraphrase.

Every numbered obligation traces back, by construction, to a specific quoted span in the order, and a deterministic check confirms each quote exists in the source, character for character. That part is plain string-matching with no model in the loop, which is better math than I can do on my own.

A meaning check then reads the plain language against the order on six points: who has to act, whether the action is required or only allowed, how far the rule reaches, whether the work is finished or still proposed, whether a legal condition quietly dropped, and whether the summary added a characterization the order never made. Anything that reads differently surfaces as a lead for the editor, and the editor is me.

Every claim carries a reference number, and that number is the receipt. Tap it and you land on the exact sentence from the order, highlighted in context inside the full official text, right on the page.

Outcome

Over 30 executive orders are live, browsable by topic, searchable, and syndicated by RSS. When the Federal Register amends an order, the affected summary gets pulled automatically until a human reviews it against the new text, so the site stays in sync with the source.

The readers taught me what mattered. The handful who found the site early skipped the flashy quantum-computing order and went straight for federal contracting, land access, and the financial system. The people who go looking for an executive order in plain language are, disproportionately, the people that order obligates, and what they need is exactly the unglamorous work: the qualifiers kept, the consultation chains intact, and the "must" that stayed a "must consider." All that fidelity work turned out to be the end product the whole time.

The fuller story of how it came together lives in Executive Orders. In Plain Language.