Gate A (BUSINESS_MODEL.md, board minutes #42, dated to today by minutes #79 decision 14) blocks putting a price or an unbuilt entitlement claim on a surface a reader can see, and requires that unverified machine assertions be labelled as such on the same screen as the assertion. The pricing leg was already met — /pricing and both homepage CTAs stopped quoting the invented catalog. Condition A2 was not: a search of the whole frontend for a "machine-generated" or "unverified" qualifier returned zero hits. Every transcript, summary, title, location, unit list and vehicle list is pipeline output that no human reviews, and entity-name accuracy in those transcripts has never been measured (server-26#48) — yet all of it was rendered to the reader as plain fact. Unqualified machine assertions about real incidents and real people is the exposure Gate A exists to stop. A2 — one reusable element, components/ui/MachineOutputNotice.tsx, rendered on the same screen as the output (a footnote elsewhere does not satisfy A1's "same screen" standard). Three variants for three shapes of surface, all saying the same thing; the "popup" variant uses fixed grays because a Leaflet popup is stock-white in both themes. Covered: - incident detail: under the summary (covers summary, title, location, units on scene/cleared, vehicles, tags) and above the call spine - incident list: above the timeline groups - Archive (/calls): above the transcript rows - node detail: above the Recent Calls table - Watch//alerts: above the events table, whose Snippet column is transcript text and whose keyword match was made against it - Live map: the desktop incident rail, pinned above the scroll area so it cannot be scrolled off the screen it qualifies; the mobile drawer; the incident marker popup; the incident-path stop popup - /systems: the source-call transcript preview - /features: the two marketing sections that describe the AI pipeline A1 — components/ui/UnbuiltMarker.tsx marks a claim unbuilt inline: - /faq: the retention answer promised 7/90/365-day windows. There is no TTL and no deletion sweep anywhere in the product (server-26#44), so the answer now states plainly that nothing is deleted automatically and marks per-plan retention as not yet available. - /settings/billing: the plan cards' claims — custom retention, SSO/SAML, uptime SLA, data residency — are marked not-yet-available next to the plan that makes them. Labelling only. No retention, SSO, SLA or residency was built; no billing, Stripe or checkout code was touched (Gate B still bars charging anyone); no price was added anywhere; no Python was touched. Both themes verified against the light-mode !important overrides in globals.css, which are untouched. tsc --noEmit clean. Refs: server-26#46, server-26#44, server-26#48 Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
119 lines
5.1 KiB
TypeScript
119 lines
5.1 KiB
TypeScript
import { Card } from "@/components/ui/Card";
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import { Badge } from "@/components/ui/Badge";
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import { LinkButton } from "@/components/ui/Button";
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import { MachineOutputNotice } from "@/components/ui/MachineOutputNotice";
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const SECTIONS: {
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eyebrow: string;
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title: string;
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body: string;
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points: string[];
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/** Section describes AI pipeline output — render the Gate A / A2 qualifier. */
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qualify?: boolean;
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}[] = [
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{
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eyebrow: "Correlation",
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title: "Calls become incidents",
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body:
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"The correlation engine groups related transmissions — across talkgroups and even across nodes — into a single incident. A pursuit renders as a path through every checkin point heard while it moved; a structure fire or accident renders as a pin at the location dispatch gave.",
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points: [
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"Hybrid rule + LLM correlation with a cheap/smart consensus tiebreak",
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"Distance, timing, shared units, and talkgroup signals all feed the match",
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"Every call keeps its correlation debug trail for admins to audit",
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],
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qualify: true,
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},
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{
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eyebrow: "AI pipeline",
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title: "Transcription and entity extraction",
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body:
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"Every recorded call is transcribed and scanned for the details that matter — units on scene, vehicles, and locations — so an incident reads like a dispatch briefing instead of a stack of raw audio.",
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points: [
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"Automatic speech-to-text on every call",
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"Scene & entity extraction feeds the correlator and the incident summary",
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"AI-generated incident summaries, regenerable on demand",
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],
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qualify: true,
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},
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{
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eyebrow: "Situational awareness",
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title: "Live map, full history",
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body:
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"Glance at the map to see what's active right now, or scrub back through history to review how a specific incident unfolded — every linked call, in order, with playback.",
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points: [
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"Real-time node and incident map",
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"Per-incident call timeline with audio playback",
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"Configurable alert rules that post to Discord on keyword or talkgroup match",
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],
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},
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{
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eyebrow: "Field hardware",
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title: "Field SDR nodes",
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body:
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"Lightweight edge nodes run OP25/GNU Radio against a P25 or analog trunked system and stream decoded audio to your account. Deploy one node to cover a town, or a whole network across a region.",
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points: [
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"P25 and analog trunked systems supported",
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"Per-node hardware tuning (gain, PPM, antenna) persists independently of system assignment",
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"Node health, call activity, and configuration all visible from the dashboard",
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],
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},
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{
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eyebrow: "Team",
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title: "Discord voice relay & role-scoped access",
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body:
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"The Discord bot relays live radio audio into a voice channel so your team can listen along without a separate app, and doubles as a lightweight utility bot for team coordination.",
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points: [
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"Live audio relay per node, on demand",
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"Admin / operator / viewer roles, with operators scoped to the nodes they own",
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"Discord account linking for in-Discord commands",
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],
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},
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];
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export default function FeaturesPage() {
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return (
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<div className="max-w-screen-xl mx-auto px-4 md:px-6 py-16 md:py-20">
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<div className="max-w-2xl">
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<Badge tone="brand">Features</Badge>
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<h1 className="text-display-sm md:text-display text-white mt-5">Everything between the radio and the map</h1>
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<p className="text-gray-400 mt-4 leading-relaxed">
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DRB is the pipeline from decoded radio traffic to a picture your team can act on: transcription,
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correlation, mapping, and a live relay — end to end.
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</p>
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</div>
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<div className="mt-16 space-y-16">
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{SECTIONS.map((s) => (
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<div key={s.title} className="grid grid-cols-1 lg:grid-cols-5 gap-8 items-start">
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<div className="lg:col-span-2">
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<p className="text-indigo-400 text-xs font-mono uppercase tracking-wider font-semibold">{s.eyebrow}</p>
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<h2 className="text-white text-2xl font-bold mt-2">{s.title}</h2>
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<p className="text-gray-400 mt-3 leading-relaxed">{s.body}</p>
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</div>
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<Card padding="lg" className="lg:col-span-3">
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<ul className="space-y-3">
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{s.points.map((p) => (
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<li key={p} className="flex items-start gap-3 text-sm text-gray-300">
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<span className="mt-1.5 w-1.5 h-1.5 rounded-full bg-indigo-500 shrink-0" />
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{p}
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</li>
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))}
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</ul>
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{/* Gate A / A2 (server-26#46) — the sections that describe the AI
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pipeline carry the same qualifier the product surfaces do. */}
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{s.qualify && <MachineOutputNotice className="mt-5" />}
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</Card>
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</div>
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))}
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</div>
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<div className="text-center mt-20 pt-16 border-t border-gray-800">
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<h2 className="text-display-sm text-white">See it running on your own traffic</h2>
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<div className="mt-6">
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<LinkButton href="/login" size="lg">Get started</LinkButton>
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</div>
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</div>
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</div>
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);
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}
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