diff --git a/brainsnn-r3f-app/index.html b/brainsnn-r3f-app/index.html
index 405ca17..e0426bb 100644
--- a/brainsnn-r3f-app/index.html
+++ b/brainsnn-r3f-app/index.html
@@ -3,20 +3,20 @@
+ Layer 106 · brand risk scorecard
+ Score a brand's emotional payload
+
+ Paste a name and a stream of mentions, ad variants, reviews, or replies. The engine scores
+ every item, names the manipulation archetypes that fire, and rolls them into a single 0–100
+ risk number with a clear tier.
+
+
+
+
setBrand(e.target.value)}
+ className="brand-risk-input"
+ style={{ padding: '10px 12px', borderRadius: 8, background: 'rgba(0,0,0,0.25)', border: '1px solid rgba(255,255,255,0.08)', color: '#f1ece5' }}
+ />
+
+
+ {report && (
+
+
+
+
Brand Risk
+
{report.score}
+
/ 100
+
+
+
Tier
+
{report.tier.label}
+
+
+
Items scored
+
{report.itemCount}
+
+
+
Mean pressure
+
{Math.round(report.meanPressure * 100)}%
+
+
+
Peak pressure
+
{Math.round(report.peakPressure * 100)}%
+
+
+
High-risk items
+
{report.highRiskCount}
+
+
+ {copied ? 'Copied' : 'Copy brief (Markdown)'}
+
+
+
+ {report.topArchetypes.length > 0 && (
+
+
Dominant archetypes
+
+ {report.topArchetypes.map((a) => (
+
+ {a.label} · {a.count}
+
+ ))}
+
+
+ )}
+
+ {report.topTemplates.length > 0 && (
+
+
Most-fired templates
+
+ {report.topTemplates.map((t) => (
+
+ {t.label} · {t.count}
+
+ ))}
+
+
+ )}
+
+ {report.worstItems.length > 0 && (
+
+
Worst items
+
+ {report.worstItems.map((it, idx) => {
+ const pct = Math.round(it.pressure * 100);
+ return (
+
+
+ = 60 ? '#d86e78' : pct >= 35 ? '#fdab43' : '#5ee69a' }}>
+ {pct}%
+
+ {it.archetypes.slice(0, 3).map((a) => (
+
+ {a.label}
+
+ ))}
+
+ {it.excerpt}
+
+ );
+ })}
+
+
+ )}
+
+ {report.itemCount === 0 && (
+
+ No items long enough to score. Each item should be at least 5 words.
+
+ )}
+
+ )}
+
+ );
+}
diff --git a/brainsnn-r3f-app/src/components/MilestonePanel.jsx b/brainsnn-r3f-app/src/components/MilestonePanel.jsx
index 5b59484..6a437b5 100644
--- a/brainsnn-r3f-app/src/components/MilestonePanel.jsx
+++ b/brainsnn-r3f-app/src/components/MilestonePanel.jsx
@@ -34,10 +34,12 @@ export default function MilestonePanel() {
- BrainSNN started as a 3D brain viewer. It grew into a Cognitive
- Firewall, then a multimodal analysis suite, then a progression
- system, then a multi-device share surface, then an extensible API.
- Every layer is still one scroll away.
+ BrainSNN is an affective-intelligence engine that detects the emotional
+ payload inside online content before it shapes attention, behavior,
+ brand risk, or public perception. It started as a 3D brain viewer,
+ grew into a Cognitive Firewall, a multimodal analysis suite, a
+ progression system, a share surface, and a public API. Every layer
+ is still one scroll away.
diff --git a/brainsnn-r3f-app/src/components/OnboardingWalkthrough.jsx b/brainsnn-r3f-app/src/components/OnboardingWalkthrough.jsx
index 09ae19d..251a7e0 100644
--- a/brainsnn-r3f-app/src/components/OnboardingWalkthrough.jsx
+++ b/brainsnn-r3f-app/src/components/OnboardingWalkthrough.jsx
@@ -3,37 +3,37 @@ import React, { useEffect, useState } from 'react';
const STEPS = [
{
title: 'Welcome to BrainSNN',
- body: 'A neuromorphic brain visualiser powered by React Three Fiber, Meta TRIBE v2, and Google Gemma 4. Let\'s take a quick tour.',
+ body: 'An affective-intelligence engine that detects the emotional payload inside online content before it shapes attention, behavior, brand risk, or public perception. Quick tour:',
target: null
},
{
- title: '3D Brain Viewer',
- body: 'The main canvas renders 7 brain regions connected by 10 neural pathways with GPU-animated signal flow. Click any region to inspect it.',
+ title: '3D brain — the visualization layer',
+ body: 'The brain is the readout, not the headline. 7 regions and 10 pathways react in real time as the engine absorbs whatever you feed it. Click a region to inspect it.',
target: '.viewer-panel'
},
{
- title: 'Control Bar',
- body: 'Play/pause the simulation, trigger bursts, switch scenarios, toggle quality tiers, and choose your data mode — Simulation, TRIBE v2, or Live EEG.',
- target: '.controls-bar'
+ title: 'Cognitive Firewall — the engine',
+ body: 'Paste a tweet, an inbox, or a press release. The engine scores it across four affective dimensions, names the manipulation templates that fire, and returns evidence words plus a deterministic receipt.',
+ target: '.cognitive-firewall-panel'
},
{
- title: 'Neural Analytics',
- body: 'Real-time sparklines, correlation matrix, anomaly detection, and threshold alerts. Expand for the full mission-control view.',
- target: '.analytics-dashboard'
+ title: 'Brand Risk Scorecard',
+ body: 'Working with mention streams, ad copy, or a review pile? Layer 106 rolls many items into one 0–100 brand risk score with a tier and a copy-ready brief.',
+ target: '.brand-risk-panel'
},
{
- title: 'Cognitive Firewall',
- body: 'Paste any content to score manipulation patterns. When Gemma 4 is configured, analysis upgrades from regex to AI-powered deep scanning.',
- target: '.cognitive-firewall-panel'
+ title: 'Controls & data modes',
+ body: 'Play/pause the brain, trigger bursts, switch scenarios, toggle quality tiers, and pick your data mode — Simulation, TRIBE v2 fMRI, or Live EEG.',
+ target: '.controls-bar'
},
{
- title: 'Snapshots & Sharing',
- body: 'Save brain states, compare them side-by-side, generate reports, and share via URL or embed code.',
+ title: 'Snapshots, share, audit',
+ body: 'Save brain states, compare them side-by-side, export receipts, and share scans via /r/
URLs or iframe embeds.',
target: '.snapshot-panel'
},
{
- title: 'You\'re Ready!',
- body: 'Press ? anytime for keyboard shortcuts. Explore the brain, scan content, and see your neural network come alive.',
+ title: 'You\'re ready',
+ body: 'Press ? for keyboard shortcuts, ⌘K to jump to any layer. Try the Firewall first, then the Brand Risk Scorecard.',
target: null
}
];
diff --git a/brainsnn-r3f-app/src/utils/brandRisk.js b/brainsnn-r3f-app/src/utils/brandRisk.js
new file mode 100644
index 0000000..faa1b01
--- /dev/null
+++ b/brainsnn-r3f-app/src/utils/brandRisk.js
@@ -0,0 +1,187 @@
+/**
+ * Layer 106 — Brand Risk Scorecard
+ *
+ * Per-brand aggregator over the Cognitive Firewall (L4),
+ * Propaganda Templates (L39), and Ad Transparency archetypes (L48).
+ *
+ * Input: a list of pasted items (mentions, ad copy, reviews, replies)
+ * about or around a brand.
+ *
+ * Output: a single 0–100 Brand Risk score with a clear tier, the worst
+ * items, the dominant archetypes, the most-fired templates, and a
+ * Markdown brief that can be pasted into a doc or a Slack channel.
+ */
+import { scoreContent } from './cognitiveFirewall.js';
+import { detectArchetypes } from './adTransparency.js';
+
+const HIGH_RISK_ARCHETYPES = new Set([
+ 'abusive-domestic',
+ 'phishing',
+ 'conspiracy-hook',
+ 'political-attack',
+ 'cult-recruitment',
+]);
+
+export function splitItems(blob = '') {
+ const text = String(blob || '').trim();
+ if (!text) return [];
+ // --- or === or === === lines first; blank lines as fallback.
+ const delimited = text
+ .split(/\n\s*(?:---+|===+)\s*\n/g)
+ .map((s) => s.trim())
+ .filter(Boolean);
+ if (delimited.length > 1) return delimited;
+ return text
+ .split(/\n{2,}/g)
+ .map((s) => s.trim())
+ .filter(Boolean);
+}
+
+export function scoreItem(text) {
+ const score = scoreContent(text);
+ const templates = score.templates || [];
+ const archetypes = detectArchetypes(templates);
+ const highRisk = archetypes.filter((a) => HIGH_RISK_ARCHETYPES.has(a.id));
+ return {
+ text,
+ excerpt: text.length > 220 ? `${text.slice(0, 218).trim()}…` : text,
+ pressure: score.manipulationPressure ?? 0,
+ dimensions: {
+ emotionalActivation: score.emotionalActivation ?? 0,
+ cognitiveSuppression: score.cognitiveSuppression ?? 0,
+ manipulationPressure: score.manipulationPressure ?? 0,
+ trustErosion: score.trustErosion ?? 0,
+ },
+ templates,
+ archetypes,
+ highRisk,
+ language: score.language || 'en',
+ evidence: score.evidence || [],
+ };
+}
+
+function tierFor(score) {
+ if (score >= 75) return { id: 'critical', label: 'Critical', color: '#d86e78' };
+ if (score >= 50) return { id: 'risk', label: 'At risk', color: '#e57b40' };
+ if (score >= 25) return { id: 'watch', label: 'Watch', color: '#fdab43' };
+ return { id: 'clean', label: 'Clean', color: '#5ee69a' };
+}
+
+/**
+ * Compute a 0–100 Brand Risk score from a list of scored items.
+ *
+ * 60% mean manipulation pressure (0..1 → 0..60)
+ * 25% peak manipulation pressure (0..1 → 0..25)
+ * 15% high-risk archetype share (0..1 → 0..15)
+ *
+ * Items < 5 words are dropped (the firewall returns zeros for them
+ * which would unfairly drag the mean down).
+ */
+export function computeBrandRisk(items = []) {
+ const scored = items
+ .map(scoreItem)
+ .filter((it) => it.text.trim().split(/\s+/).length >= 5);
+
+ if (!scored.length) {
+ return {
+ score: 0,
+ tier: tierFor(0),
+ itemCount: 0,
+ meanPressure: 0,
+ peakPressure: 0,
+ highRiskCount: 0,
+ highRiskShare: 0,
+ worstItems: [],
+ topArchetypes: [],
+ topTemplates: [],
+ items: [],
+ };
+ }
+
+ const meanPressure =
+ scored.reduce((sum, it) => sum + it.pressure, 0) / scored.length;
+ const peakPressure = Math.max(...scored.map((it) => it.pressure));
+ const highRiskItems = scored.filter((it) => it.highRisk.length > 0);
+ const highRiskShare = highRiskItems.length / scored.length;
+
+ const score = Math.round(
+ Math.min(
+ 100,
+ meanPressure * 60 + peakPressure * 25 + highRiskShare * 15
+ )
+ );
+
+ const archetypeCounts = new Map();
+ for (const it of scored) {
+ for (const a of it.archetypes) {
+ const prev = archetypeCounts.get(a.id) || { id: a.id, label: a.label, count: 0, highRisk: HIGH_RISK_ARCHETYPES.has(a.id) };
+ prev.count += 1;
+ archetypeCounts.set(a.id, prev);
+ }
+ }
+ const topArchetypes = [...archetypeCounts.values()].sort((a, b) => b.count - a.count).slice(0, 6);
+
+ const templateCounts = new Map();
+ for (const it of scored) {
+ for (const t of it.templates) {
+ const prev = templateCounts.get(t.id) || { id: t.id, label: t.label, count: 0 };
+ prev.count += 1;
+ templateCounts.set(t.id, prev);
+ }
+ }
+ const topTemplates = [...templateCounts.values()].sort((a, b) => b.count - a.count).slice(0, 6);
+
+ const worstItems = [...scored].sort((a, b) => b.pressure - a.pressure).slice(0, 5);
+
+ return {
+ score,
+ tier: tierFor(score),
+ itemCount: scored.length,
+ meanPressure: parseFloat(meanPressure.toFixed(3)),
+ peakPressure: parseFloat(peakPressure.toFixed(3)),
+ highRiskCount: highRiskItems.length,
+ highRiskShare: parseFloat(highRiskShare.toFixed(3)),
+ worstItems,
+ topArchetypes,
+ topTemplates,
+ items: scored,
+ };
+}
+
+export function brandBriefMarkdown(brand, report) {
+ const safeBrand = brand?.trim() || 'Untitled brand';
+ const lines = [];
+ lines.push(`# Brand Risk Scorecard — ${safeBrand}`);
+ lines.push('');
+ lines.push(`**Score:** ${report.score} / 100 · **Tier:** ${report.tier.label}`);
+ lines.push(`**Items scored:** ${report.itemCount} · **Mean pressure:** ${(report.meanPressure * 100).toFixed(0)}% · **Peak pressure:** ${(report.peakPressure * 100).toFixed(0)}%`);
+ lines.push(`**High-risk items:** ${report.highRiskCount} (${Math.round(report.highRiskShare * 100)}%)`);
+ lines.push('');
+ if (report.topArchetypes.length) {
+ lines.push('## Dominant archetypes');
+ for (const a of report.topArchetypes) {
+ lines.push(`- **${a.label}** — fired in ${a.count} item${a.count === 1 ? '' : 's'}${a.highRisk ? ' · high-risk' : ''}`);
+ }
+ lines.push('');
+ }
+ if (report.topTemplates.length) {
+ lines.push('## Most-fired manipulation templates');
+ for (const t of report.topTemplates) {
+ lines.push(`- ${t.label} (${t.count})`);
+ }
+ lines.push('');
+ }
+ if (report.worstItems.length) {
+ lines.push('## Worst items');
+ report.worstItems.forEach((it, i) => {
+ const pct = Math.round(it.pressure * 100);
+ lines.push(`### ${i + 1}. Pressure ${pct}%`);
+ const archetypeLabels = it.archetypes.map((a) => a.label).join(', ');
+ if (archetypeLabels) lines.push(`*Archetypes:* ${archetypeLabels}`);
+ lines.push('');
+ lines.push(`> ${it.excerpt.replace(/\n+/g, ' ')}`);
+ lines.push('');
+ });
+ }
+ return lines.join('\n');
+}
diff --git a/brainsnn-r3f-app/src/utils/layerCatalog.js b/brainsnn-r3f-app/src/utils/layerCatalog.js
index 110bd86..206e9ce 100644
--- a/brainsnn-r3f-app/src/utils/layerCatalog.js
+++ b/brainsnn-r3f-app/src/utils/layerCatalog.js
@@ -107,6 +107,7 @@ export const LAYER_CATALOG = [
{ id: 98, name: 'Theme + A11y', group: 'view', blurb: 'Dark/light, high-contrast, reduced-motion, font scale.' },
{ id: 99, name: 'Federated Community Firewall', group: 'firewall', blurb: 'Weekly-rotated community rule pack.' },
{ id: 100, name: 'Milestone Dashboard', group: 'view', blurb: '100 layers shipped — synthesis + personal stats.' },
+ { id: 106, name: 'Brand Risk Scorecard', group: 'firewall', blurb: 'Per-brand 0–100 risk score across mention streams + ad copy.' },
];
export const LAYER_GROUPS = {
diff --git a/ui/brainsnn-site/index.html b/ui/brainsnn-site/index.html
index dd0f28d..7e558bf 100644
--- a/ui/brainsnn-site/index.html
+++ b/ui/brainsnn-site/index.html
@@ -6,15 +6,15 @@
name="viewport"
content="width=device-width, initial-scale=1.0"
/>
- BrainSNN — Brain-Inspired AI That Never Stops Learning
+ BrainSNN — Affective-Intelligence Engine for the Open Web
-
+
diff --git a/ui/brainsnn-site/package-lock.json b/ui/brainsnn-site/package-lock.json
new file mode 100644
index 0000000..0e00355
--- /dev/null
+++ b/ui/brainsnn-site/package-lock.json
@@ -0,0 +1,2546 @@
+{
+ "name": "brainsnn-launch-site",
+ "version": "0.1.0",
+ "lockfileVersion": 3,
+ "requires": true,
+ "packages": {
+ "": {
+ "name": "brainsnn-launch-site",
+ "version": "0.1.0",
+ "dependencies": {
+ "@react-three/drei": "^9.122.0",
+ "@react-three/fiber": "^8.18.0",
+ "react": "^18.3.1",
+ "react-dom": "^18.3.1",
+ "three": "^0.174.0"
+ },
+ "devDependencies": {
+ "@vitejs/plugin-react": "^4.4.1",
+ "vite": "^5.4.12"
+ }
+ },
+ "node_modules/@babel/code-frame": {
+ "version": "7.29.0",
+ "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.29.0.tgz",
+ "integrity": "sha512-9NhCeYjq9+3uxgdtp20LSiJXJvN0FeCtNGpJxuMFZ1Kv3cWUNb6DOhJwUvcVCzKGR66cw4njwM6hrJLqgOwbcw==",
+ "dev": true,
+ "license": "MIT",
+ "dependencies": {
+ "@babel/helper-validator-identifier": "^7.28.5",
+ "js-tokens": "^4.0.0",
+ "picocolors": "^1.1.1"
+ },
+ "engines": {
+ "node": ">=6.9.0"
+ }
+ },
+ "node_modules/@babel/compat-data": {
+ "version": "7.29.3",
+ "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.29.3.tgz",
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+ "dev": true,
+ "license": "MIT",
+ "engines": {
+ "node": ">=6.9.0"
+ }
+ },
+ "node_modules/@babel/core": {
+ "version": "7.29.0",
+ "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.29.0.tgz",
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+ "@jridgewell/remapping": "^2.3.5",
+ "convert-source-map": "^2.0.0",
+ "debug": "^4.1.0",
+ "gensync": "^1.0.0-beta.2",
+ "json5": "^2.2.3",
+ "semver": "^6.3.1"
+ },
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+ },
+ "funding": {
+ "type": "opencollective",
+ "url": "https://opencollective.com/babel"
+ }
+ },
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+ "version": "7.29.1",
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+ "dev": true,
+ "license": "MIT",
+ "dependencies": {
+ "@babel/parser": "^7.29.0",
+ "@babel/types": "^7.29.0",
+ "@jridgewell/gen-mapping": "^0.3.12",
+ "@jridgewell/trace-mapping": "^0.3.28",
+ "jsesc": "^3.0.2"
+ },
+ "engines": {
+ "node": ">=6.9.0"
+ }
+ },
+ "node_modules/@babel/helper-compilation-targets": {
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+ "engines": {
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+ }
+ },
+ "node_modules/@babel/helper-string-parser": {
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+ "dev": true,
+ "license": "MIT",
+ "engines": {
+ "node": ">=6.9.0"
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diff --git a/ui/brainsnn-site/public/scan-affective-trajectory.svg b/ui/brainsnn-site/public/scan-affective-trajectory.svg
new file mode 100644
index 0000000..892478d
--- /dev/null
+++ b/ui/brainsnn-site/public/scan-affective-trajectory.svg
@@ -0,0 +1,57 @@
+
+
+
+
+
+
+
+
+
+
+
+
+ AFFECTIVE TRAJECTORY · INBOX
+ Trend: Escalating · 30 messages
+
+
+
+
+
+
+
+ 100%
+ 50%
+ 0%
+ msg 1
+ msg 30
+
+
+
+
+
+
+
+
+
+
+
+
+
+ spike +28
+
+ peak 92%
+
+
+
+
+
+ Hostile band: 9
+
+ Heavy band: 12
+
+ Slope +1.4
+
+ Receipt R-7F2A-9B81
+
+
diff --git a/ui/brainsnn-site/public/scan-certainty-theater.svg b/ui/brainsnn-site/public/scan-certainty-theater.svg
new file mode 100644
index 0000000..b1b82d0
--- /dev/null
+++ b/ui/brainsnn-site/public/scan-certainty-theater.svg
@@ -0,0 +1,65 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+ CERTAINTY THEATER · SCAN
+ PFC dampened · BG rising
+
+
+ EMOTIONAL ACTIVATION
+
+
+ 40%
+
+ COGNITIVE SUPPRESSION
+
+
+ 90%
+
+ MANIPULATION PRESSURE
+
+
+ 75%
+
+ TRUST EROSION
+
+
+ 80%
+
+
+
+
+
+ CTX
+
+
+ PFC
+
+ AMY
+
+
+ BG
+
+ HPC
+
+
+
+
+ obviously
+
+ undeniable fact
+
+ straw-man
+
+ DARVO
+
+
diff --git a/ui/brainsnn-site/public/scan-fear-cascade.svg b/ui/brainsnn-site/public/scan-fear-cascade.svg
new file mode 100644
index 0000000..51b246f
--- /dev/null
+++ b/ui/brainsnn-site/public/scan-fear-cascade.svg
@@ -0,0 +1,66 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+ FEAR CASCADE · SCAN
+ AMY glows · pressure 87%
+
+
+
+ EMOTIONAL ACTIVATION
+
+
+ 90%
+
+ MANIPULATION PRESSURE
+
+
+ 87%
+
+ COGNITIVE SUPPRESSION
+
+
+ 65%
+
+ TRUST EROSION
+
+
+ 75%
+
+
+
+
+
+
+ CTX
+
+ PFC
+
+ AMY
+
+ BG
+
+ HPC
+
+
+
+
+
+ URGENT
+
+ act now
+
+ last chance
+
+ phishing
+
+
diff --git a/ui/brainsnn-site/src/App.jsx b/ui/brainsnn-site/src/App.jsx
index 350cd42..aa650d8 100644
--- a/ui/brainsnn-site/src/App.jsx
+++ b/ui/brainsnn-site/src/App.jsx
@@ -364,7 +364,7 @@ export default function App() {
};
const installCode = `git clone ${SITE.repoUrl}\ncd the-brain\ncd ui/brainsnn-site\nnpm install\nnpm run dev`;
- const extendCode = `BRAIN_REGIONS.push({\n code: "OFC",\n name: "Orbitofrontal Cortex",\n position: [2.7, 2.25, 1.0],\n color: "#f59e0b",\n baseActivity: 0.18,\n description: "Reward and valuation signals."\n});\n\nPATHWAYS.push({\n id: "PFC-OFC",\n from: "PFC",\n to: "OFC",\n initialWeight: 0.28,\n plastic: true,\n inhibitory: false,\n curveOffset: [0.2, 0.35, 0.2],\n label: "valuation route"\n});`;
+ const extendCode = `// Score any text against the engine\nconst response = await fetch("/api/score", {\n method: "POST",\n headers: { "Content-Type": "application/json" },\n body: JSON.stringify({ text: "Act now or you'll miss this forever." }),\n});\nconst { score, dimensions, templates, receipt } = await response.json();\n\n// dimensions: { urgency, outrage, certainty, fear }\n// templates : [{ id: "fomo", label: "FOMO appeal", hits: 2 }, ...]\n// receipt : "R-7F2A-9B81" (deterministic SHA-256, audit-ready)`;
const active = toolkit[activeTab];
return (
@@ -378,9 +378,9 @@ export default function App() {
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@@ -394,29 +394,28 @@ export default function App() {