Minor change to summary and tab name

src/components/ChatWidget.tsx

@@ -221,7 +221,7 @@ export function ChatWidget({ onAction }: ChatWidgetProps) {
             data-chat-panel
             className="fixed z-[90] font-ui
               inset-0 rounded-none max-md:z-[101]
-              md:inset-auto md:bottom-[88px] md:right-6 md:rounded-xl"
+              md:inset-auto md:bottom-[88px] md:right-6 md:rounded-xl lg:bottom-[100px] xl:bottom-[112px]"
             style={{
               background: 'var(--surface)',
               border: '1px solid var(--border-light)',

src/components/constellation/PlayPauseButton.tsx

@@ -41,7 +41,7 @@ export const PlayPauseButton: React.FC<PlayPauseButtonProps> = ({
 
       setScrolling(true)
       clearTimeout(debounceRef.current)
-      debounceRef.current = window.setTimeout(() => setScrolling(false), 1000)
+      debounceRef.current = window.setTimeout(() => setScrolling(false), 500)
     }
 
     scrollParent.addEventListener('scroll', update, { passive: true })

src/data/profile-content.ts

@@ -3,7 +3,7 @@ import type { DeepReadonly, ProfileContent } from '@/types/profile-content'
 export const profileContent: DeepReadonly<ProfileContent> = {
   profile: {
     sectionTitle: 'Patient Summary',
-    patientSummaryNarrative: 'Healthcare leader combining clinical pharmacy expertise with proficiency in Python, SQL, and data analytics, self-taught over the past decade through a drive to find root causes in data and build the most efficient solutions to complex problems. Currently leading population health analytics for NHS Norfolk & Waveney ICB, serving a population of 1.2 million. Experienced in working with messy, real-world prescribing data at scale to deliver actionable insights — from financial scenario modelling and pharmaceutical rebate negotiation to algorithm design and population-level pathway development. Proven track record of identifying and prioritising efficiency programmes worth £14.6M+ through automated, data-driven analysis. Skilled at translating complex clinical, financial, and analytical requirements into clear recommendations for executive stakeholders.',
+    patientSummaryNarrative: 'Healthcare leader combining clinical pharmacy expertise with proficiency in Python, SQL, and data analytics, self-taught over the past decade through a drive to find root causes in data and build the most efficient solutions to complex problems. Currently leading population health analytics for Medicines Optimisation NHS Norfolk & Waveney ICB, serving a population of 1.2 million. Experienced in working with messy, real-world prescribing data at scale to deliver actionable insights — from financial scenario modelling and pharmaceutical rebate negotiation to algorithm design and population-level pathway development. Proven track record of identifying and prioritising efficiency programmes worth £14.6M+ through automated, data-driven analysis. Skilled at translating complex clinical, financial, and analytical requirements into clear recommendations for executive stakeholders.',
     latestResults: {
       title: 'LATEST RESULTS',
       rightText: 'Updated February 2026',