// ui_kits/marketing/components.jsx // Section-level components for the marketing surface. Each section is small, // cosmetic, and uses primitives + tokens. Source: reference/tehom_ai_landing_page_v6.html const { useEffect: useEffect2, useState: useState2 } = React; // ---- Nav — sticky 80px, solid deep, hairline on scroll ---- function Nav() { const [scrolled, setScrolled] = useState2(false); useEffect2(() => { const onScroll = () => setScrolled(window.scrollY > 8); window.addEventListener("scroll", onScroll, { passive: true }); onScroll(); return () => window.removeEventListener("scroll", onScroll); }, []); return ( ); } // ---- Hero — full-bleed display, "Form from the deep." ---- function Hero() { return (
Agentic AI Infrastructure

Form from the deep.

Tehom AI builds orchestration, memory, and governance infrastructure for agentic systems operating in the real world.

Read the thesis See the work
); } // ---- SectionHeader — the recurring meta-column + content pattern ---- function SectionHeader({ meta, title, copy }) { return (
{meta}

{title}

{copy && (

{copy}

)}
); } // ---- Thesis — single-column, paragraph cluster ---- function Thesis() { return (
01 — Thesis

The problem is no longer generating intelligence. The problem is governing it.

The first wave of AI infrastructure was built around output: faster answers, larger models, more fluent generation. That work matters, but it does not solve the operational problem.

Real systems require boundaries. They need memory that compounds, decisions that can be traced, agents that can be supervised, and work that remains intelligible after it ships.

Tehom exists for that layer: the ground beneath agentic work. Not a spectacle of intelligence, but the structure that lets intelligence become durable.

); } // ---- StackPrimitive — one of the three cards (Governance / Orchestration / Memory) ---- function StackPrimitive({ icon, title, body }) { return (
{icon}

{title}

{body}

); } // Inline-loaded SVG so it picks up currentColor from the host context. const StackIcon = ({ name }) => { const [markup, setMarkup] = useState2(""); useEffect2(() => { fetch(`../../assets/icons/${name}.svg`) .then((r) => r.text()) .then((t) => setMarkup( t.replace(/<\?xml[^?]*\?>\s*/, "") .replace(/\s*/g, "") .replace(/]*)>/, (m, attrs) => `` ) )); }, [name]); return ; }; function Stack() { return (
} title="Governance" body="Durable constraints for what agents may do, what they must preserve, and where human judgment remains required." /> } title="Orchestration" body="The routing layer between intent, context, tools, agents, artifacts, review paths, and shipped work." /> } title="Memory" body="Continuity across time: decisions, relationships, constraints, artifacts, and institutional context that become usable again." />
); } // ---- Principles — large editorial passage ---- function Principles() { return (
{[ "Every system carries assumptions: about truth, authority, optimization, risk, and the people who live with the consequences of its output.", "Agentic systems make those assumptions operational. They do not merely answer questions. They route decisions, preserve memory, trigger work, and influence what becomes normal.", "Tehom is built on a simple premise: durable systems require durable constraints.", ].map((p, i, arr) => (

{p}

))}
); } // ---- WorkItem ---- function WorkItem({ state, title, body, tag }) { return (

{title}

{body}

{tag}
); } function Work() { return (
); } // ---- Origin — short paragraph ---- function Origin() { return (
05 — Origin

Tehom AI emerged from Covenant Labs: a research and systems effort concerned with how agentic work can be governed by durable upstream principles instead of optimization alone.

); } // ---- Footer — lockup, Hebrew origin glyph, links ---- function Footer() { return ( ); } Object.assign(window, { Nav, Hero, SectionHeader, Thesis, Stack, StackPrimitive, Principles, Work, WorkItem, Origin, Footer, });