Add comprehensive chatbot improvements: better LLM prompts, caching, confidence labels, smarter follow-ups

src/App.tsx

@@ -1062,6 +1062,22 @@ function buildSmartFollowUpPrompts(chunks: SearchChunk[], analysis: IntentAnalys
     .slice(0, 3)
     .map(prompt => ({ label: prompt, prompt }))
 
+  // Add context-specific follow-ups based on what was discussed
+  const subjectContext = analysis.subject || extractIdentitySubject(analysis.rawQuery.toLowerCase())
+  if (subjectContext && !analysis.rawQuery.toLowerCase().includes('apply')) {
+    promptSuggestions.unshift({
+      label: `How does this apply to my life?`,
+      prompt: `Based on what you just said about ${subjectContext}, how should I apply this today?`
+    })
+  }
+
+  if (primaryVerse && analysis.type === 'identity') {
+    promptSuggestions.unshift({
+      label: `What's the historical context?`,
+      prompt: `What was the historical and cultural context of ${formatVerseRef(primaryVerse)}?`
+    })
+  }
+
   const detailedNotesReply = buildDetailedNotesReplyFromChunks(chunks)
   const canOfferDetailedNotes = hasMeaningfulExtraDetail(shortAnswer, detailedNotesReply)
 
@@ -1152,6 +1168,18 @@ function synthesizeSmartReply(scored: ScoredChunk[], analysis: IntentAnalysis, c
   }
 }
 
+function addConfidenceLabel(response: ChatResponse, confidence: 'high' | 'medium' | 'low'): ChatResponse {
+  const label = confidence === 'high' 
+    ? '✓ High confidence'
+    : confidence === 'medium' 
+      ? '~ Medium confidence' 
+      : '? Low confidence'
+  return {
+    ...response,
+    text: `${response.text}\n\n[${label}]`
+  }
+  }
+
 function buildNextChatContext(query: string, analysis: IntentAnalysis, scored: ScoredChunk[], previousContext: ChatContextState): ChatContextState {
   const topChunks = getTopDistinctChunks(scored, 3)
   if (topChunks.length === 0) return EMPTY_CHAT_CONTEXT
@@ -1449,6 +1477,7 @@ function ChatBot({ mode = 'embedded' }: { mode?: 'embedded' | 'standalone' }) {
         if (confidence !== 'low') {
           shouldTryLlmRewrite = true
           chatContextRef.current = buildNextChatContext(contextualQuery, analysis, scored, activeContext)
+          botReply = addConfidenceLabel(botReply, confidence)
         }
       } else {
         botReply = buildSmartFallbackReply(analyzeIntent(contextualQuery, activeContext), activeContext)