refactor: architecture compliance pass — DS tokens, hook boundary, god component split, AI hardening

- DS token migration: Anfragen.tsx + child components (AnfragenInquiryItem, AnfragenMessageBubble)
  fully migrated; DS_TEXT.brandDark added; scoreTheme.ts moved to src/lib/ with re-export proxy
- Hook boundary: Results.tsx no longer calls needService directly — routes through useNeeds()
  with optional refetchOnMount/gcTime overrides
- NewListing.tsx (440L) split into useNewListingForm hook + 8 section components under
  src/components/new-listing/; page shell reduced to 121 lines
- AI hardening: Zod .strict() on all schemas, AIProvenance extended with schemaVersion/
  fallbackReason/traceId/latencyMs, AITraceStore stats with p50/p90/p99 + failure breakdowns,
  MockAIService buildFollowUpQuestions with priority ordering + area-ambiguity detection,
  prompt templates updated (LIGHT_INDUSTRIAL, budget unit, ambiguity detection, decimal precision)
- Tests: all 154 passing; fixed test regression caused by OfferEmailResponseSchema body min(50)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

src/services/ai/mock/MockAIService.ts

@@ -59,7 +59,7 @@ const FOLLOW_UP_TEMPLATES: Partial<Record<keyof ParsedNeedCriteria, QuestionTemp
   assetType: {
     questionText: 'Welchen Nutzungstyp suchen Sie?',
     reason: 'Nutzungstyp ist zwingend für die Matchsuche',
-    suggestedAnswerOptions: ['Büro', 'Retail', 'Logistik', 'Produktion', 'Gastro'],
+    suggestedAnswerOptions: ['Büro', 'Retail', 'Logistik', 'Produktion', 'Leichtindustrie', 'Gastro'],
     importance: 'required',
   },
   areaRange: {
@@ -74,7 +74,7 @@ const FOLLOW_UP_TEMPLATES: Partial<Record<keyof ParsedNeedCriteria, QuestionTemp
     importance: 'required',
   },
   budgetRange: {
-    questionText: 'Was ist Ihr maximales Budget pro m² und Monat (CHF)?',
+    questionText: 'Was ist Ihr maximales Budget pro m² und Jahr (CHF)?',
     reason: 'Budget ist wichtig für die Filterung unpassender Objekte',
     importance: 'recommended',
   },
@@ -90,32 +90,69 @@ const FOLLOW_UP_TEMPLATES: Partial<Record<keyof ParsedNeedCriteria, QuestionTemp
   },
 }
 
+const AREA_AMBIGUITY_RATIO_THRESHOLD = 8
+
+const AREA_AMBIGUITY_QUESTION: QuestionTemplate = {
+  questionText: 'Ihre Flächenangabe ist sehr weit gefasst — können Sie den Bereich präzisieren (z.B. min 300 m², max 600 m²)?',
+  reason: 'Zu grosse Spanne reduziert die Matchgenauigkeit erheblich',
+  importance: 'required',
+}
+
+function isAreaAmbiguous(areaRange: NonNullable<ParsedNeedCriteria['areaRange']>): boolean {
+  const { min, max } = areaRange
+  if (min <= 0 || max <= 0) return true
+  return max / min > AREA_AMBIGUITY_RATIO_THRESHOLD
+}
+
+// Priority order: required fields first, recommended next, optional last.
+// Max 3 questions returned. Area range ambiguity is detected and raised as a
+// required clarification even when areaRange is nominally present.
+const FIELD_PRIORITY: Array<keyof ParsedNeedCriteria> = [
+  'assetType',
+  'areaRange',
+  'preferredLocations',
+  'budgetRange',
+  'timing',
+  'mustHaveCriteria',
+]
+
 function buildFollowUpQuestions(criteria: ParsedNeedCriteria): FollowUpQuestion[] {
-  const missing: Array<keyof ParsedNeedCriteria> = []
+  const questions: FollowUpQuestion[] = []
+  let idx = 0
 
-  if (!criteria.assetType)                          missing.push('assetType')
-  if (!criteria.areaRange)                          missing.push('areaRange')
-  if (!criteria.preferredLocations?.length)         missing.push('preferredLocations')
-  if (!criteria.budgetRange)                        missing.push('budgetRange')
-  if (!criteria.timing)                             missing.push('timing')
-  if (!criteria.mustHaveCriteria?.length)           missing.push('mustHaveCriteria')
+  for (const field of FIELD_PRIORITY) {
+    if (questions.length >= 3) break
 
-  return missing
-    .slice(0, 3)
-    .map((field, i) => {
+    if (field === 'areaRange') {
+      if (!criteria.areaRange) {
+        const tpl = FOLLOW_UP_TEMPLATES['areaRange']!
+        questions.push({ id: `fq-mock-${idx++}`, questionText: tpl.questionText, targetField: 'areaRange', reason: tpl.reason, importance: tpl.importance })
+      } else if (isAreaAmbiguous(criteria.areaRange)) {
+        questions.push({ id: `fq-mock-${idx++}`, questionText: AREA_AMBIGUITY_QUESTION.questionText, targetField: 'areaRange', reason: AREA_AMBIGUITY_QUESTION.reason, importance: AREA_AMBIGUITY_QUESTION.importance })
+      }
+      continue
+    }
+
+    const isMissing =
+      field === 'preferredLocations' ? !criteria.preferredLocations?.length
+      : field === 'mustHaveCriteria' ? !criteria.mustHaveCriteria?.length
+      : !criteria[field]
+
+    if (isMissing) {
       const tpl = FOLLOW_UP_TEMPLATES[field]
-      if (!tpl) return null
-      const q: FollowUpQuestion = {
-        id:                     `fq-mock-${i}`,
+      if (!tpl) continue
+      questions.push({
+        id:                     `fq-mock-${idx++}`,
         questionText:           tpl.questionText,
         targetField:            field,
         reason:                 tpl.reason,
         importance:             tpl.importance,
         suggestedAnswerOptions: tpl.suggestedAnswerOptions,
-      }
-      return q
-    })
-    .filter((q): q is FollowUpQuestion => q !== null)
+      })
+    }
+  }
+
+  return questions
 }
 
 // ── Service ───────────────────────────────────────────────────────────────────