diff --git a/app/src/App.tsx b/app/src/App.tsx index cce42b0..b912c87 100644 --- a/app/src/App.tsx +++ b/app/src/App.tsx @@ -386,6 +386,12 @@ export default function App() { PolicyBench.org {" "} ·{" "} + + Expand + +
+ {title} +
+
+ {price} +
+
+ {children} +
+ + ); +} + +export default function ExpandPage() { + return ( +
+ +
+
PolicyBench · expansion
+

+ Expand PolicyBench to your region, population, or program +

+ +

+ Families already ask AI about the questions that decide their month: + Do I qualify for SNAP? How much is my credit? Will this job cost me + Medicaid? The{" "} + + public board + {" "} + tests 30 frontier models on 100 real households. + The best model computes 88.7% of amounts within $1. On SNAP cases + where the family is owed benefits, models answer exactly $0 in 42% of + answers, and no model gets more than 1 case in 20 right. + On Medicaid eligibility, the median model misclassifies 1 person in + 15; the weakest, nearly 1 in 3. A family + told “$0” does not apply. Those are national numbers — + nobody measures this for your region. +

+ +

+ A PolicyBench slice measures it. We draw households from + survey microdata weighted to your population, cover your programs, + benchmark the models behind the tools your people use, and compute every + reference from the law with PolicyEngine. Every miss gets a + diagnosed failure mode. You get a public slice leaderboard, a + written analysis of where models fail your population, and a + briefing. The answer key checks itself in public: references come + from open-source code, cross-checked against other calculators + where they exist, and challenged values get adjudicated against + the statute — the{" "} + + methodology and adjudication record + {" "} + are published. +

+ +
+ + One program family — SNAP, Medicaid, child care, tax credits — + across all 30 board models. Per-model accuracy, diagnosed failure + modes, written analysis, and a briefing. Fast: the board already + holds the raw material. + + + New households weighted to your area and program mix. A published + slice leaderboard beside the national board, the full audit, the + analysis, and a briefing for your team or grantees. + + + A 50-state observatory, or coverage across a whole grantee + portfolio — including your grantees’ own tools, run through + the same households as the board. We scope these directly. + +
+ +

+ We size samples to the confidence width your question needs, from + your population — not a fixed household count. Any slice can add + standing coverage: quarterly refresh and re-analysis, new models as + they ship, and technical assistance to grantees building AI tools — + priced with the slice. +

+ +
+
+ What funding buys — and what it never buys +
+

+ Funders buy coverage: households, programs, regions, refresh + cadence. Funding never buys scores, rankings, or placement. No + model vendor pays for evaluation — vendor funding for separate + projects never touches the benchmark. Every slice stays public — + prompts, references, predictions, and diagnoses. +

+
+ +
+ + Contact us + + + contact@policybench.org + +
+

+ PolicyBench is a project of PolicyEngine, a 501(c)(3) nonprofit — + engagements work as grants or contracts. We also brief funder + networks — one slice presented to a convened + room goes further than a dozen pitches, and we are glad to present + at yours. +

+
+
+ ); +} diff --git a/app/src/app/sitemap.ts b/app/src/app/sitemap.ts index e934726..816f7cc 100644 --- a/app/src/app/sitemap.ts +++ b/app/src/app/sitemap.ts @@ -21,6 +21,11 @@ export default function sitemap(): MetadataRoute.Sitemap { changeFrequency: "monthly", priority: 0.7, }, + { + url: "https://policybench.org/expand", + changeFrequency: "monthly", + priority: 0.5, + }, ...modelEntries, ]; }