Recipe A: ACME Support Copilot
Use RealRuntime before every assistant turn to enforce scope + usage and choose a calmer tone for angry users.
// ACME Helpdesk service
const verify = await fetch(`${API_BASE}/v1/auth/verify`, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({
api_key,
required_scope: "realflow:stream",
consume: true,
units: 1,
metadata: { product: "acme-helpdesk", use_case: "support-copilot" }
})
}).then(r => r.json());
if (!verify.allowed) return deny(verify.reason);
// continue with provider call + de-escalation prompt policy
Recipe B: Vector Robot Eye Color by Emotion
Map live emotional state to robot face LEDs for expressive, readable interaction in kiosks or assistants.
// ACME Vector Bot controller
const emotion = detectEmotion(userText); // your classifier or provider analysis
const colorMap = {
frustrated: "#ff6a5e",
anxious: "#5e97ff",
joyful: "#66ffe0",
neutral: "#b7c2d9"
};
vectorRobot.setEyeColor(colorMap[emotion] ?? colorMap.neutral);
Recipe C: Emotion Feedback UI Layer
Drive UI styling and interaction pacing from emotional state so interfaces feel responsive, not generic.
// ACME Banking app frontend
function applyEmotionTheme(state) {
const themes = {
frustrated: { accent: "#ff885c", pace: "fast" },
anxious: { accent: "#7a7dff", pace: "slow" },
focused: { accent: "#4cc9a5", pace: "normal" }
};
const t = themes[state] || themes.focused;
document.documentElement.style.setProperty("--accent", t.accent);
setUiPace(t.pace);
}
Recipe D: Emotion-to-Music Plugin
Generate or modulate soundtrack layers from emotional state for games, wellness, or creative tools.
// ACME Studio plugin
const mood = inferMood(turnTranscript); // anxious, calm, excited
musicEngine.setTempo(mood === "anxious" ? 88 : 104);
musicEngine.setKey(mood === "calm" ? "Dmaj" : "Amin");
musicEngine.setLayer("pad", mood !== "excited");
musicEngine.setLayer("percussion", mood === "excited");
Recipe E: Segment Users by Emotional Profile
Create cohorts for product decisions: churn risk, support escalation, feature personalization.
// ACME Analytics pipeline
profile = {
user_id,
stress_index_7d,
frustration_events_30d,
calm_recovery_rate,
confidence: "high"
};
if (profile.stress_index_7d > 0.72) segment = "high-support-need";
else if (profile.calm_recovery_rate > 0.80) segment = "self-guided";
else segment = "balanced";
Recipe F: ACME Value Dashboard
Show business impact from emotional adaptation: resolution speed, satisfaction lift, escalation reduction.
GET /v1/usage/accounts/{account_id}/summary
// combine with product metrics
{
"support_resolution_time_delta_pct": -18.4,
"csat_delta_pct": +11.2,
"escalation_rate_delta_pct": -14.7
}