// AI Capabilities showcase — signature animation: AI Workbench // Typewriter prompt → streaming response, alongside a neural constellation with traveling signals const { Spark: AISpark, Brain: AIBrain, Bolt: AIBolt, Code: AICode, DB: AIDB } = window.Icons; // ────────────────────────────────────────────────────────── // AIWorkbench — typewriter prompt → token-shimmer response // ────────────────────────────────────────────────────────── function AIWorkbench() { const containerRef = useRef(null); const [phase, setPhase] = useState('idle'); // idle | typing | thinking | streaming | done const [promptText, setPromptText] = useState(''); const [tokens, setTokens] = useState([]); const [active, setActive] = useState(false); const fullPrompt = "Audit our claims pipeline and propose an agent that drafts denial appeals from policy docs."; // The streamed response tokens (chunks of varying length, like an LLM) const responseTokens = useMemo(() => [ "Mapped", " 14", " stages", " in", " your", " claims", " pipeline", ".", "\n", "Bottleneck", ":", " denial", " appeals", " — ", "avg.", " ", "4.2", " days", ", ", "62%", " manual", ".", "\n\n", "Proposed", " agent", ":", "\n", " — ", "ingest", " denial", " letter", " ", "+", " claim", " context", "\n", " — ", "retrieve", " policy", " clauses", " via", " ", "hybrid", " RAG", "\n", " — ", "draft", " appeal", " ", "+", " cite", " evidence", "\n", " — ", "route", " to", " adjudicator", " for", " ", "review", "\n\n", "Est.", " cycle", " time", ":", " ", "4.2d", " → ", "11h", ". ", "Shall", " we", " scope", " a", " ", "two-week", " pilot", "?", ], []); // Start when scrolled into view useEffect(() => { const el = containerRef.current; if (!el) return; const reduce = window.matchMedia('(prefers-reduced-motion: reduce)').matches; const io = new IntersectionObserver(([e]) => { if (e.isIntersecting) { setActive(true); if (reduce) { setPromptText(fullPrompt); setTokens(responseTokens); setPhase('done'); } else { setPhase('typing'); } io.disconnect(); } }, { threshold: 0.35 }); io.observe(el); return () => io.disconnect(); }, [fullPrompt, responseTokens]); // Type the prompt useEffect(() => { if (phase !== 'typing') return; let i = 0; const id = setInterval(() => { i++; setPromptText(fullPrompt.slice(0, i)); if (i >= fullPrompt.length) { clearInterval(id); setTimeout(() => setPhase('thinking'), 350); } }, 28); return () => clearInterval(id); }, [phase, fullPrompt]); // Brief thinking pause useEffect(() => { if (phase !== 'thinking') return; const t = setTimeout(() => setPhase('streaming'), 900); return () => clearTimeout(t); }, [phase]); // Stream response tokens useEffect(() => { if (phase !== 'streaming') return; let i = 0; const id = setInterval(() => { i++; setTokens(responseTokens.slice(0, i)); if (i >= responseTokens.length) { clearInterval(id); setPhase('done'); } }, 55); return () => clearInterval(id); }, [phase, responseTokens]); // Restart on click for replay const restart = () => { if (phase !== 'done') return; setTokens([]); setPromptText(''); setPhase('typing'); }; return (
{/* Header chrome */}
cardefi · workbench
{phase === 'idle' && 'ready'} {phase === 'typing' && 'composing'} {phase === 'thinking' && 'reasoning'} {phase === 'streaming' && 'streaming'} {phase === 'done' && 'complete'}
{/* Prompt row */}
You
{promptText} {phase === 'typing' && }
{/* Divider */}
{/* Response */}
AI
{phase === 'thinking' && ( thinking )} {tokens.map((t, i) => ( {t} ))} {phase === 'streaming' && }
{phase === 'done' && ( )}
); } // ────────────────────────────────────────────────────────── // Neural constellation — pulsing nodes + traveling signals // ────────────────────────────────────────────────────────── function NeuralConstellation() { // Three columns (input, hidden, output) — but slightly organic positions const nodes = useMemo(() => { const cols = [ { x: 60, count: 5 }, { x: 200, count: 6 }, { x: 340, count: 4 }, ]; const all = []; cols.forEach((c, ci) => { for (let i = 0; i < c.count; i++) { const y = 40 + (i + 0.5) * ((280 - 40) / c.count); all.push({ id: `c${ci}n${i}`, x: c.x, y, col: ci }); } }); return all; }, []); const edges = useMemo(() => { const e = []; const byCol = (c) => nodes.filter(n => n.col === c); [0, 1].forEach(c => { byCol(c).forEach(a => { byCol(c + 1).forEach(b => { e.push({ a, b }); }); }); }); return e; }, [nodes]); // Pick 8 random edges to animate signals along const signalPaths = useMemo(() => { const seeds = [0.05, 0.18, 0.27, 0.41, 0.55, 0.68, 0.79, 0.91]; return seeds.map((s, i) => ({ idx: Math.floor(s * edges.length), delay: i * 0.6, duration: 2.2 + (i % 3) * 0.5, })); }, [edges]); return ( ); } // ────────────────────────────────────────────────────────── // AI Capabilities section // ────────────────────────────────────────────────────────── function AICapabilities() { const pillars = [ { icon: AIBrain, title: 'LLM-powered applications', body: 'Chat, summarization, copilots — engineered around evals, not vibes.' }, { icon: AIBolt, title: 'Agentic workflows & automation', body: 'Multi-step agents with tool use, memory, and human-in-the-loop control.' }, { icon: AIDB, title: 'RAG & knowledge systems', body: 'Hybrid retrieval over your documents, schemas, and live business data.' }, { icon: AICode, title: 'Model fine-tuning & deployment', body: 'Adaptation, distillation, and serving — open-source or frontier APIs.' }, ]; return (
{/* Soft ambient glow */}
AI capabilities

From prompt to production.
In one engagement.

We build AI systems your operators actually trust — with evaluations, observability, and guardrails as first-class concerns, not afterthoughts.

{/* Workbench + constellation */}
retrieval graph · live ● active
Recall
94.2%
Latency
240ms
Hops
3
{/* Pillars */}
{pillars.map((p, i) => (

{p.title}

{p.body}

))}
); } window.AICapabilities = AICapabilities;