/* HLiD — Problem, Solution, AI Layer, Workflow sections */ /* ------------ SECTION EYEBROW ------------ */ function Eyebrow({ n, label }) { return (
{n} {label}
); } /* Minimal line icons — 1.5px stroke */ const Glyph = { fragmented: ( ), manual: ( ), bottleneck: ( ), entry: ( ), }; /* ------------ 2. PROBLEM ------------ */ function Problem() { const { t } = useT(); const items = [ [Glyph.fragmented, t('problem.1.t'), t('problem.1.b')], [Glyph.manual, t('problem.2.t'), t('problem.2.b')], [Glyph.bottleneck, t('problem.3.t'), t('problem.3.b')], [Glyph.entry, t('problem.4.t'), t('problem.4.b')], ]; return (

{t('problem.h1.a')}
{t('problem.h1.b')}

{t('problem.lede')}

{items.map(([icon, title, body], i) => (
{icon}
{title}

{body}

))}
); } /* ------------ 3. SOLUTION — PIPELINE ------------ */ function Solution() { const { t } = useT(); const nodes = [ ['01', t('solution.n1'), t('solution.n1.s')], ['02', t('solution.n2'), t('solution.n2.s')], ['03', t('solution.n3'), t('solution.n3.s')], ['04', t('solution.n4'), t('solution.n4.s')], ['05', t('solution.n5'), t('solution.n5.s')], ['06', t('solution.n6'), t('solution.n6.s')], ['07', t('solution.n7'), t('solution.n7.s')], ]; return (

{t('solution.h1')}

{/* Desktop — horizontal pipeline */}
{nodes.map(([n, title, sub], i) => (
{n}
{title}
{sub}
))}
{/* Mobile — stacked */}
{nodes.map(([n, title, sub], i) => (
{n}
{title}
{sub}
))}

{t('solution.foot')}

); } /* ------------ 4. AI LAYER ------------ */ function AILayer() { const { t } = useT(); const stats = [ ['3–5×', t('ai.s1.label'), t('ai.s1.foot')], ['0', t('ai.s2.label'), t('ai.s2.foot')], ['24/7', t('ai.s3.label'), t('ai.s3.foot')], ]; return (

{t('ai.h1.a')}
{t('ai.h1.b')}

{stats.map(([big, label, foot], i) => (
{big}
{label}
{foot}
))}

{t('ai.foot')}

{['Pixel-traceable', 'Human-in-the-loop', 'Monthly eval', 'Per-locale holdout'].map(x => ( {x} ))}
); } Object.assign(window, { Problem, Solution, AILayer, Eyebrow, Glyph });