diff --git a/backend-lehrer/learning_units_api.py b/backend-lehrer/learning_units_api.py
index a853122..7418e89 100644
--- a/backend-lehrer/learning_units_api.py
+++ b/backend-lehrer/learning_units_api.py
@@ -348,3 +348,29 @@ def api_get_next_review(unit_id: str, limit: int = 5):
     except Exception as e:
         raise HTTPException(status_code=500, detail=str(e))
 
+
+class StoryGeneratePayload(BaseModel):
+    vocabulary: List[Dict[str, Any]]
+    language: str = "en"
+    grade_level: str = "5-8"
+
+
+@router.post("/{unit_id}/generate-story")
+def api_generate_story(unit_id: str, payload: StoryGeneratePayload):
+    """Generate a short story using vocabulary words."""
+    lu = get_learning_unit(unit_id)
+    if not lu:
+        raise HTTPException(status_code=404, detail="Lerneinheit nicht gefunden.")
+
+    try:
+        from story_generator import generate_story
+        result = generate_story(
+            vocabulary=payload.vocabulary,
+            language=payload.language,
+            grade_level=payload.grade_level,
+        )
+        return result
+    except Exception as e:
+        logger.error(f"Story generation failed for {unit_id}: {e}")
+        raise HTTPException(status_code=500, detail=f"Story-Generierung fehlgeschlagen: {e}")
+
diff --git a/backend-lehrer/main.py b/backend-lehrer/main.py
index 0ac8252..7af04f7 100644
--- a/backend-lehrer/main.py
+++ b/backend-lehrer/main.py
@@ -106,6 +106,10 @@ app.include_router(correction_router, prefix="/api")
 from learning_units_api import router as learning_units_router
 app.include_router(learning_units_router, prefix="/api")
 
+# --- 4b. Learning Progress ---
+from progress_api import router as progress_router
+app.include_router(progress_router, prefix="/api")
+
 from unit_api import router as unit_router
 app.include_router(unit_router)  # Already has /api/units prefix
 
diff --git a/backend-lehrer/progress_api.py b/backend-lehrer/progress_api.py
new file mode 100644
index 0000000..9b1c7d8
--- /dev/null
+++ b/backend-lehrer/progress_api.py
@@ -0,0 +1,131 @@
+"""
+Progress API — Tracks student learning progress per unit.
+
+Stores coins, crowns, streak data, and exercise completion stats.
+Uses JSON file storage (same pattern as learning_units.py).
+"""
+
+import os
+import json
+import logging
+from datetime import datetime, date
+from typing import Dict, Any, Optional, List
+from pathlib import Path
+
+from fastapi import APIRouter, HTTPException
+from pydantic import BaseModel
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter(
+    prefix="/progress",
+    tags=["progress"],
+)
+
+PROGRESS_DIR = os.path.expanduser("~/Arbeitsblaetter/Lerneinheiten/progress")
+
+
+def _ensure_dir():
+    os.makedirs(PROGRESS_DIR, exist_ok=True)
+
+
+def _progress_path(unit_id: str) -> Path:
+    return Path(PROGRESS_DIR) / f"{unit_id}.json"
+
+
+def _load_progress(unit_id: str) -> Dict[str, Any]:
+    path = _progress_path(unit_id)
+    if path.exists():
+        with open(path, "r", encoding="utf-8") as f:
+            return json.load(f)
+    return {
+        "unit_id": unit_id,
+        "coins": 0,
+        "crowns": 0,
+        "streak_days": 0,
+        "last_activity": None,
+        "exercises": {
+            "flashcards": {"completed": 0, "correct": 0, "incorrect": 0},
+            "quiz": {"completed": 0, "correct": 0, "incorrect": 0},
+            "type": {"completed": 0, "correct": 0, "incorrect": 0},
+            "story": {"generated": 0},
+        },
+        "created_at": datetime.now().isoformat(),
+    }
+
+
+def _save_progress(unit_id: str, data: Dict[str, Any]):
+    _ensure_dir()
+    path = _progress_path(unit_id)
+    with open(path, "w", encoding="utf-8") as f:
+        json.dump(data, f, ensure_ascii=False, indent=2)
+
+
+class RewardPayload(BaseModel):
+    exercise_type: str  # flashcards, quiz, type, story
+    correct: bool = True
+    first_try: bool = True
+
+
+@router.get("/{unit_id}")
+def get_progress(unit_id: str):
+    """Get learning progress for a unit."""
+    return _load_progress(unit_id)
+
+
+@router.post("/{unit_id}/reward")
+def add_reward(unit_id: str, payload: RewardPayload):
+    """Record an exercise result and award coins."""
+    progress = _load_progress(unit_id)
+
+    # Update exercise stats
+    ex = progress["exercises"].get(payload.exercise_type, {"completed": 0, "correct": 0, "incorrect": 0})
+    ex["completed"] = ex.get("completed", 0) + 1
+    if payload.correct:
+        ex["correct"] = ex.get("correct", 0) + 1
+    else:
+        ex["incorrect"] = ex.get("incorrect", 0) + 1
+    progress["exercises"][payload.exercise_type] = ex
+
+    # Award coins
+    if payload.correct:
+        coins = 3 if payload.first_try else 1
+    else:
+        coins = 0
+    progress["coins"] = progress.get("coins", 0) + coins
+
+    # Update streak
+    today = date.today().isoformat()
+    last = progress.get("last_activity")
+    if last != today:
+        if last == (date.today().replace(day=date.today().day - 1)).isoformat() if date.today().day > 1 else None:
+            progress["streak_days"] = progress.get("streak_days", 0) + 1
+        elif last != today:
+            progress["streak_days"] = 1
+        progress["last_activity"] = today
+
+    # Award crowns for milestones
+    total_correct = sum(
+        e.get("correct", 0) for e in progress["exercises"].values() if isinstance(e, dict)
+    )
+    progress["crowns"] = total_correct // 20  # 1 crown per 20 correct answers
+
+    _save_progress(unit_id, progress)
+
+    return {
+        "coins_awarded": coins,
+        "total_coins": progress["coins"],
+        "crowns": progress["crowns"],
+        "streak_days": progress["streak_days"],
+    }
+
+
+@router.get("/")
+def list_all_progress():
+    """List progress for all units."""
+    _ensure_dir()
+    results = []
+    for f in Path(PROGRESS_DIR).glob("*.json"):
+        with open(f, "r", encoding="utf-8") as fh:
+            results.append(json.load(fh))
+    return results
diff --git a/backend-lehrer/story_generator.py b/backend-lehrer/story_generator.py
new file mode 100644
index 0000000..9b7cf36
--- /dev/null
+++ b/backend-lehrer/story_generator.py
@@ -0,0 +1,108 @@
+"""
+Story Generator — Creates short stories using vocabulary words.
+
+Generates age-appropriate mini-stories (3-5 sentences) that incorporate
+the given vocabulary words, marked with <mark> tags for highlighting.
+
+Uses Ollama (local LLM) for generation.
+"""
+
+import os
+import json
+import logging
+import requests
+from typing import List, Dict, Any, Optional
+
+logger = logging.getLogger(__name__)
+
+OLLAMA_URL = os.getenv("OLLAMA_BASE_URL", "http://host.docker.internal:11434")
+STORY_MODEL = os.getenv("STORY_MODEL", "llama3.1:8b")
+
+
+def generate_story(
+    vocabulary: List[Dict[str, str]],
+    language: str = "en",
+    grade_level: str = "5-8",
+    max_words: int = 5,
+) -> Dict[str, Any]:
+    """
+    Generate a short story incorporating vocabulary words.
+
+    Args:
+        vocabulary: List of dicts with 'english' and 'german' keys
+        language: 'en' for English story, 'de' for German story
+        grade_level: Target grade level
+        max_words: Maximum vocab words to include (to keep story short)
+
+    Returns:
+        Dict with 'story_html', 'story_text', 'vocab_used', 'language'
+    """
+    # Select subset of vocabulary
+    words = vocabulary[:max_words]
+    word_list = [w.get("english", "") if language == "en" else w.get("german", "") for w in words]
+    word_list = [w for w in word_list if w.strip()]
+
+    if not word_list:
+        return {"story_html": "", "story_text": "", "vocab_used": [], "language": language}
+
+    lang_name = "English" if language == "en" else "German"
+    words_str = ", ".join(word_list)
+
+    prompt = f"""Write a short story (3-5 sentences) in {lang_name} for a grade {grade_level} student.
+The story MUST use these vocabulary words: {words_str}
+
+Rules:
+1. The story should be fun and age-appropriate
+2. Each vocabulary word must appear at least once
+3. Keep sentences simple and clear
+4. The story should make sense and be engaging
+
+Write ONLY the story, nothing else. No title, no introduction."""
+
+    try:
+        resp = requests.post(
+            f"{OLLAMA_URL}/api/generate",
+            json={
+                "model": STORY_MODEL,
+                "prompt": prompt,
+                "stream": False,
+                "options": {"temperature": 0.8, "num_predict": 300},
+            },
+            timeout=30,
+        )
+        resp.raise_for_status()
+        story_text = resp.json().get("response", "").strip()
+    except Exception as e:
+        logger.error(f"Story generation failed: {e}")
+        # Fallback: simple template story
+        story_text = _fallback_story(word_list, language)
+
+    # Mark vocabulary words in the story
+    story_html = story_text
+    vocab_found = []
+    for word in word_list:
+        if word.lower() in story_html.lower():
+            # Case-insensitive replacement preserving original case
+            import re
+            pattern = re.compile(re.escape(word), re.IGNORECASE)
+            story_html = pattern.sub(
+                lambda m: f'<mark class="vocab-highlight">{m.group()}</mark>',
+                story_html,
+                count=1,
+            )
+            vocab_found.append(word)
+
+    return {
+        "story_html": story_html,
+        "story_text": story_text,
+        "vocab_used": vocab_found,
+        "vocab_total": len(word_list),
+        "language": language,
+    }
+
+
+def _fallback_story(words: List[str], language: str) -> str:
+    """Simple fallback when LLM is unavailable."""
+    if language == "de":
+        return f"Heute habe ich neue Woerter gelernt: {', '.join(words)}. Es war ein guter Tag zum Lernen."
+    return f"Today I learned new words: {', '.join(words)}. It was a great day for learning."
diff --git a/studio-v2/app/learn/[unitId]/story/page.tsx b/studio-v2/app/learn/[unitId]/story/page.tsx
new file mode 100644
index 0000000..0fe8235
--- /dev/null
+++ b/studio-v2/app/learn/[unitId]/story/page.tsx
@@ -0,0 +1,184 @@
+'use client'
+
+import React, { useState, useEffect } from 'react'
+import { useParams, useRouter } from 'next/navigation'
+import { useTheme } from '@/lib/ThemeContext'
+import { AudioButton } from '@/components/learn/AudioButton'
+
+function getBackendUrl() {
+  if (typeof window === 'undefined') return 'http://localhost:8001'
+  const { hostname, protocol } = window.location
+  if (hostname === 'localhost') return 'http://localhost:8001'
+  return `${protocol}//${hostname}:8001`
+}
+
+function getKlausurApiUrl() {
+  if (typeof window === 'undefined') return 'http://localhost:8086'
+  const { hostname, protocol } = window.location
+  if (hostname === 'localhost') return 'http://localhost:8086'
+  return `${protocol}//${hostname}/klausur-api`
+}
+
+export default function StoryPage() {
+  const { unitId } = useParams<{ unitId: string }>()
+  const router = useRouter()
+  const { isDark } = useTheme()
+
+  const [story, setStory] = useState<{ story_html: string; story_text: string; vocab_used: string[]; language: string } | null>(null)
+  const [isLoading, setIsLoading] = useState(false)
+  const [error, setError] = useState<string | null>(null)
+  const [language, setLanguage] = useState<'en' | 'de'>('en')
+
+  const glassCard = isDark
+    ? 'bg-white/10 backdrop-blur-xl border border-white/10'
+    : 'bg-white/80 backdrop-blur-xl border border-black/5'
+
+  const generateStory = async () => {
+    setIsLoading(true)
+    setError(null)
+
+    try {
+      // First get the QA data to extract vocabulary
+      const qaResp = await fetch(`${getBackendUrl()}/api/learning-units/${unitId}/qa`)
+      let vocabulary: { english: string; german: string }[] = []
+
+      if (qaResp.ok) {
+        const qaData = await qaResp.json()
+        // Convert QA items to vocabulary format
+        vocabulary = (qaData.qa_items || []).map((item: any) => ({
+          english: item.question,
+          german: item.answer,
+        }))
+      }
+
+      if (vocabulary.length === 0) {
+        setError('Keine Vokabeln gefunden.')
+        setIsLoading(false)
+        return
+      }
+
+      // Generate story
+      const resp = await fetch(`${getBackendUrl()}/api/learning-units/${unitId}/generate-story`, {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify({ vocabulary, language, grade_level: '5-8' }),
+      })
+
+      if (!resp.ok) throw new Error(`HTTP ${resp.status}`)
+      const data = await resp.json()
+      setStory(data)
+    } catch (err: any) {
+      setError(err.message)
+    } finally {
+      setIsLoading(false)
+    }
+  }
+
+  return (
+    <div className={`min-h-screen flex flex-col ${isDark ? 'bg-gradient-to-br from-indigo-900 via-purple-900 to-pink-800' : 'bg-gradient-to-br from-slate-100 via-amber-50 to-orange-100'}`}>
+      {/* Header */}
+      <div className={`${glassCard} border-0 border-b`}>
+        <div className="max-w-2xl mx-auto px-6 py-4 flex items-center justify-between">
+          <button
+            onClick={() => router.push('/learn')}
+            className={`flex items-center gap-2 text-sm ${isDark ? 'text-white/60 hover:text-white' : 'text-slate-500 hover:text-slate-900'}`}
+          >
+            <svg className="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
+              <path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M15 19l-7-7 7-7" />
+            </svg>
+            Zurueck
+          </button>
+          <h1 className={`text-lg font-bold ${isDark ? 'text-white' : 'text-slate-900'}`}>
+            Minigeschichte
+          </h1>
+          <button
+            onClick={() => setLanguage((l) => l === 'en' ? 'de' : 'en')}
+            className={`text-xs px-3 py-1.5 rounded-lg ${isDark ? 'bg-white/10 text-white/70' : 'bg-slate-100 text-slate-600'}`}
+          >
+            {language === 'en' ? 'Englisch' : 'Deutsch'}
+          </button>
+        </div>
+      </div>
+
+      {/* Content */}
+      <div className="flex-1 flex items-center justify-center px-6 py-8">
+        <div className="w-full max-w-lg space-y-6">
+          {story ? (
+            <>
+              {/* Story Card */}
+              <div className={`${glassCard} rounded-3xl p-8`}>
+                <div className="flex items-center justify-between mb-4">
+                  <span className={`text-xs font-medium uppercase ${isDark ? 'text-white/40' : 'text-slate-400'}`}>
+                    {story.language === 'en' ? 'English Story' : 'Deutsche Geschichte'}
+                  </span>
+                  <AudioButton text={story.story_text} lang={story.language as 'en' | 'de'} isDark={isDark} size="md" />
+                </div>
+                <div
+                  className={`text-lg leading-relaxed ${isDark ? 'text-white/90' : 'text-slate-800'}`}
+                  dangerouslySetInnerHTML={{ __html: story.story_html }}
+                />
+                <style>{`
+                  .vocab-highlight {
+                    background: ${isDark ? 'rgba(96, 165, 250, 0.3)' : 'rgba(59, 130, 246, 0.15)'};
+                    color: ${isDark ? '#93c5fd' : '#1d4ed8'};
+                    padding: 1px 4px;
+                    border-radius: 4px;
+                    font-weight: 600;
+                  }
+                `}</style>
+              </div>
+
+              {/* Vocab used */}
+              <div className={`text-center text-sm ${isDark ? 'text-white/40' : 'text-slate-400'}`}>
+                Vokabeln verwendet: {story.vocab_used.length} / {story.vocab_used.length > 0 ? story.vocab_used.join(', ') : '-'}
+              </div>
+
+              {/* New Story Button */}
+              <button
+                onClick={generateStory}
+                disabled={isLoading}
+                className="w-full py-3 rounded-xl bg-gradient-to-r from-amber-500 to-orange-500 text-white font-medium hover:shadow-lg transition-all"
+              >
+                Neue Geschichte generieren
+              </button>
+            </>
+          ) : (
+            <div className={`${glassCard} rounded-3xl p-10 text-center`}>
+              <div className="text-5xl mb-4">📖</div>
+              <h2 className={`text-xl font-bold mb-2 ${isDark ? 'text-white' : 'text-slate-900'}`}>
+                Minigeschichte
+              </h2>
+              <p className={`text-sm mb-6 ${isDark ? 'text-white/60' : 'text-slate-500'}`}>
+                Die KI schreibt eine kurze Geschichte mit deinen Vokabeln.
+                Die Vokabelwoerter werden farbig hervorgehoben.
+              </p>
+
+              {error && (
+                <p className={`text-sm mb-4 ${isDark ? 'text-red-300' : 'text-red-600'}`}>{error}</p>
+              )}
+
+              <button
+                onClick={generateStory}
+                disabled={isLoading}
+                className={`w-full py-4 rounded-xl font-medium transition-all ${
+                  isLoading
+                    ? (isDark ? 'bg-white/5 text-white/30' : 'bg-slate-100 text-slate-400')
+                    : 'bg-gradient-to-r from-amber-500 to-orange-500 text-white hover:shadow-lg hover:shadow-orange-500/25'
+                }`}
+              >
+                {isLoading ? (
+                  <span className="flex items-center justify-center gap-3">
+                    <div className="w-5 h-5 border-2 border-white border-t-transparent rounded-full animate-spin" />
+                    Geschichte wird geschrieben...
+                  </span>
+                ) : (
+                  'Geschichte generieren'
+                )}
+              </button>
+            </div>
+          )}
+        </div>
+      </div>
+    </div>
+  )
+}
diff --git a/studio-v2/components/gamification/CoinAnimation.tsx b/studio-v2/components/gamification/CoinAnimation.tsx
new file mode 100644
index 0000000..1532720
--- /dev/null
+++ b/studio-v2/components/gamification/CoinAnimation.tsx
@@ -0,0 +1,91 @@
+'use client'
+
+import React, { useState, useEffect, useCallback } from 'react'
+
+interface CoinAnimationProps {
+  amount: number
+  trigger: number // increment to trigger animation
+}
+
+interface FloatingCoin {
+  id: number
+  x: number
+  delay: number
+}
+
+export function CoinAnimation({ amount, trigger }: CoinAnimationProps) {
+  const [coins, setCoins] = useState<FloatingCoin[]>([])
+  const [total, setTotal] = useState(0)
+  const [showBounce, setShowBounce] = useState(false)
+
+  useEffect(() => {
+    if (trigger === 0) return
+
+    // Create floating coins
+    const newCoins: FloatingCoin[] = Array.from({ length: Math.min(amount, 5) }, (_, i) => ({
+      id: Date.now() + i,
+      x: Math.random() * 60 - 30,
+      delay: i * 100,
+    }))
+    setCoins(newCoins)
+    setShowBounce(true)
+
+    // Update total after animation
+    setTimeout(() => {
+      setTotal((prev) => prev + amount)
+      setShowBounce(false)
+    }, 800)
+
+    // Clean up coins
+    setTimeout(() => setCoins([]), 1500)
+  }, [trigger, amount])
+
+  return (
+    <div className="relative inline-flex items-center gap-1.5">
+      {/* Coin icon + total */}
+      <div className={`flex items-center gap-1 px-3 py-1 rounded-full bg-yellow-500/20 border border-yellow-500/30 transition-transform ${showBounce ? 'scale-110' : 'scale-100'}`}>
+        <span className="text-yellow-400 text-sm">&#x1FA99;</span>
+        <span className="text-yellow-300 text-sm font-bold tabular-nums">{total}</span>
+      </div>
+
+      {/* Floating coins animation */}
+      {coins.map((coin) => (
+        <span
+          key={coin.id}
+          className="absolute text-lg animate-coin-float pointer-events-none"
+          style={{
+            left: `calc(50% + ${coin.x}px)`,
+            animationDelay: `${coin.delay}ms`,
+          }}
+        >
+          &#x1FA99;
+        </span>
+      ))}
+
+      <style>{`
+        @keyframes coin-float {
+          0% { transform: translateY(0) scale(1); opacity: 1; }
+          100% { transform: translateY(-60px) scale(0.5); opacity: 0; }
+        }
+        .animate-coin-float {
+          animation: coin-float 1s ease-out forwards;
+        }
+      `}</style>
+    </div>
+  )
+}
+
+/** Hook to manage coin rewards */
+export function useCoinRewards() {
+  const [totalCoins, setTotalCoins] = useState(0)
+  const [triggerCount, setTriggerCount] = useState(0)
+  const [lastReward, setLastReward] = useState(0)
+
+  const awardCoins = useCallback((amount: number) => {
+    setLastReward(amount)
+    setTriggerCount((c) => c + 1)
+    setTotalCoins((t) => t + amount)
+  }, [])
+
+  return { totalCoins, triggerCount, lastReward, awardCoins }
+}
diff --git a/studio-v2/components/gamification/CrownBadge.tsx b/studio-v2/components/gamification/CrownBadge.tsx
new file mode 100644
index 0000000..c473378
--- /dev/null
+++ b/studio-v2/components/gamification/CrownBadge.tsx
@@ -0,0 +1,35 @@
+'use client'
+
+import React from 'react'
+
+interface CrownBadgeProps {
+  crowns: number
+  size?: 'sm' | 'md' | 'lg'
+  showLabel?: boolean
+}
+
+export function CrownBadge({ crowns, size = 'md', showLabel = true }: CrownBadgeProps) {
+  const sizeClasses = {
+    sm: 'text-base',
+    md: 'text-xl',
+    lg: 'text-3xl',
+  }
+
+  const isGold = crowns >= 3
+  const isSilver = crowns >= 1
+
+  return (
+    <div className="inline-flex items-center gap-1.5">
+      <span className={`${sizeClasses[size]} ${isGold ? 'animate-pulse' : ''}`}>
+        {isGold ? '👑' : isSilver ? '🥈' : '⭐'}
+      </span>
+      {showLabel && (
+        <span className={`font-bold tabular-nums ${
+          isGold ? 'text-yellow-400' : isSilver ? 'text-slate-300' : 'text-white/50'
+        } ${size === 'sm' ? 'text-xs' : size === 'md' ? 'text-sm' : 'text-base'}`}>
+          {crowns}
+        </span>
+      )}
+    </div>
+  )
+}
diff --git a/studio-v2/components/gamification/ProgressRing.tsx b/studio-v2/components/gamification/ProgressRing.tsx
new file mode 100644
index 0000000..70baff6
--- /dev/null
+++ b/studio-v2/components/gamification/ProgressRing.tsx
@@ -0,0 +1,67 @@
+'use client'
+
+import React from 'react'
+
+interface ProgressRingProps {
+  progress: number  // 0-100
+  size?: number
+  strokeWidth?: number
+  label: string
+  value: string
+  color?: string
+  isDark?: boolean
+}
+
+export function ProgressRing({
+  progress,
+  size = 80,
+  strokeWidth = 6,
+  label,
+  value,
+  color = '#60a5fa',
+  isDark = true,
+}: ProgressRingProps) {
+  const radius = (size - strokeWidth) / 2
+  const circumference = radius * 2 * Math.PI
+  const offset = circumference - (Math.min(progress, 100) / 100) * circumference
+
+  return (
+    <div className="flex flex-col items-center gap-1">
+      <div className="relative" style={{ width: size, height: size }}>
+        <svg width={size} height={size} className="-rotate-90">
+          {/* Background circle */}
+          <circle
+            cx={size / 2}
+            cy={size / 2}
+            r={radius}
+            fill="none"
+            stroke={isDark ? 'rgba(255,255,255,0.1)' : 'rgba(0,0,0,0.08)'}
+            strokeWidth={strokeWidth}
+          />
+          {/* Progress circle */}
+          <circle
+            cx={size / 2}
+            cy={size / 2}
+            r={radius}
+            fill="none"
+            stroke={color}
+            strokeWidth={strokeWidth}
+            strokeDasharray={circumference}
+            strokeDashoffset={offset}
+            strokeLinecap="round"
+            className="transition-all duration-700 ease-out"
+          />
+        </svg>
+        {/* Center text */}
+        <div className="absolute inset-0 flex items-center justify-center">
+          <span className={`text-sm font-bold ${isDark ? 'text-white' : 'text-slate-900'}`}>
+            {value}
+          </span>
+        </div>
+      </div>
+      <span className={`text-xs ${isDark ? 'text-white/50' : 'text-slate-500'}`}>
+        {label}
+      </span>
+    </div>
+  )
+}
diff --git a/studio-v2/components/learn/MicrophoneInput.tsx b/studio-v2/components/learn/MicrophoneInput.tsx
new file mode 100644
index 0000000..8295ef0
--- /dev/null
+++ b/studio-v2/components/learn/MicrophoneInput.tsx
@@ -0,0 +1,140 @@
+'use client'
+
+import React, { useState, useRef, useCallback } from 'react'
+
+interface MicrophoneInputProps {
+  expectedText: string
+  lang: 'en' | 'de'
+  onResult: (transcript: string, correct: boolean) => void
+  isDark: boolean
+}
+
+export function MicrophoneInput({ expectedText, lang, onResult, isDark }: MicrophoneInputProps) {
+  const [isListening, setIsListening] = useState(false)
+  const [transcript, setTranscript] = useState('')
+  const [feedback, setFeedback] = useState<'correct' | 'wrong' | null>(null)
+  const recognitionRef = useRef<any>(null)
+
+  const startListening = useCallback(() => {
+    const SpeechRecognition = (window as any).SpeechRecognition || (window as any).webkitSpeechRecognition
+    if (!SpeechRecognition) {
+      setTranscript('Spracherkennung nicht verfuegbar')
+      return
+    }
+
+    const recognition = new SpeechRecognition()
+    recognition.lang = lang === 'de' ? 'de-DE' : 'en-GB'
+    recognition.interimResults = false
+    recognition.maxAlternatives = 3
+    recognition.continuous = false
+
+    recognition.onresult = (event: any) => {
+      const results = event.results[0]
+      let bestMatch = ''
+      let isCorrect = false
+
+      // Check all alternatives for a match
+      for (let i = 0; i < results.length; i++) {
+        const alt = results[i].transcript.trim().toLowerCase()
+        if (alt === expectedText.trim().toLowerCase()) {
+          bestMatch = results[i].transcript
+          isCorrect = true
+          break
+        }
+        if (!bestMatch) bestMatch = results[i].transcript
+      }
+
+      setTranscript(bestMatch)
+      setFeedback(isCorrect ? 'correct' : 'wrong')
+      setIsListening(false)
+
+      setTimeout(() => {
+        onResult(bestMatch, isCorrect)
+        setFeedback(null)
+        setTranscript('')
+      }, isCorrect ? 1000 : 2500)
+    }
+
+    recognition.onerror = (event: any) => {
+      console.error('Speech recognition error:', event.error)
+      setIsListening(false)
+      if (event.error === 'no-speech') {
+        setTranscript('Kein Ton erkannt. Nochmal versuchen.')
+      } else if (event.error === 'not-allowed') {
+        setTranscript('Mikrofon-Zugriff nicht erlaubt.')
+      }
+    }
+
+    recognition.onend = () => {
+      setIsListening(false)
+    }
+
+    recognitionRef.current = recognition
+    recognition.start()
+    setIsListening(true)
+    setTranscript('')
+    setFeedback(null)
+  }, [lang, expectedText, onResult])
+
+  const stopListening = useCallback(() => {
+    recognitionRef.current?.stop()
+    setIsListening(false)
+  }, [])
+
+  return (
+    <div className="flex flex-col items-center gap-4">
+      {/* Microphone Button */}
+      <button
+        onClick={isListening ? stopListening : startListening}
+        className={`w-20 h-20 rounded-full flex items-center justify-center transition-all ${
+          isListening
+            ? 'bg-red-500 text-white animate-pulse shadow-lg shadow-red-500/30'
+            : feedback === 'correct'
+              ? 'bg-green-500 text-white shadow-lg shadow-green-500/30'
+              : feedback === 'wrong'
+                ? 'bg-red-500/60 text-white'
+                : isDark
+                  ? 'bg-white/10 text-white/70 hover:bg-white/20 hover:text-white'
+                  : 'bg-slate-100 text-slate-500 hover:bg-slate-200 hover:text-slate-700'
+        }`}
+      >
+        <svg className="w-8 h-8" fill="none" stroke="currentColor" viewBox="0 0 24 24">
+          {isListening ? (
+            <path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M21 12a9 9 0 11-18 0 9 9 0 0118 0zM10 9v6m4-6v6" />
+          ) : (
+            <>
+              <path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M19 11a7 7 0 01-7 7m0 0a7 7 0 01-7-7m7 7v4m0 0H8m4 0h4" />
+              <path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M12 1a3 3 0 00-3 3v8a3 3 0 006 0V4a3 3 0 00-3-3z" />
+            </>
+          )}
+        </svg>
+      </button>
+
+      {/* Status Text */}
+      <p className={`text-sm text-center ${isDark ? 'text-white/50' : 'text-slate-500'}`}>
+        {isListening
+          ? 'Sprich jetzt...'
+          : transcript
+            ? transcript
+            : 'Tippe auf das Mikrofon'}
+      </p>
+
+      {/* Feedback */}
+      {feedback === 'correct' && (
+        <p className={`text-lg font-semibold ${isDark ? 'text-green-300' : 'text-green-600'}`}>
+          Richtig ausgesprochen!
+        </p>
+      )}
+      {feedback === 'wrong' && (
+        <div className="text-center">
+          <p className={`text-sm ${isDark ? 'text-red-300' : 'text-red-600'}`}>
+            Erkannt: &quot;{transcript}&quot;
+          </p>
+          <p className={`text-sm mt-1 ${isDark ? 'text-white/50' : 'text-slate-500'}`}>
+            Erwartet: &quot;{expectedText}&quot;
+          </p>
+        </div>
+      )}
+    </div>
+  )
+}
diff --git a/studio-v2/components/learn/SyllableBow.tsx b/studio-v2/components/learn/SyllableBow.tsx
new file mode 100644
index 0000000..6af1cc7
--- /dev/null
+++ b/studio-v2/components/learn/SyllableBow.tsx
@@ -0,0 +1,117 @@
+'use client'
+
+import React, { useMemo } from 'react'
+
+interface SyllableBowProps {
+  word: string
+  syllables: string[]
+  onSyllableClick?: (syllable: string, index: number) => void
+  isDark: boolean
+  size?: 'sm' | 'md' | 'lg'
+}
+
+/**
+ * SyllableBow — Renders a word with SVG arcs under each syllable.
+ *
+ * Uses pyphen syllable data from the backend.
+ * Each syllable is clickable (triggers TTS for that syllable).
+ */
+export function SyllableBow({ word, syllables, onSyllableClick, isDark, size = 'md' }: SyllableBowProps) {
+  const fontSize = size === 'sm' ? 20 : size === 'md' ? 32 : 44
+  const charWidth = fontSize * 0.6
+  const bowHeight = size === 'sm' ? 12 : size === 'md' ? 18 : 24
+  const gap = 4
+
+  const layout = useMemo(() => {
+    let x = 0
+    return syllables.map((syl) => {
+      const width = syl.length * charWidth
+      const entry = { syllable: syl, x, width }
+      x += width + gap
+      return entry
+    })
+  }, [syllables, charWidth])
+
+  const totalWidth = layout.length > 0
+    ? layout[layout.length - 1].x + layout[layout.length - 1].width
+    : 0
+
+  const svgHeight = bowHeight + 6
+
+  return (
+    <div className="inline-flex flex-col items-center">
+      {/* Letters */}
+      <div className="flex" style={{ gap: `${gap}px` }}>
+        {layout.map((item, idx) => (
+          <span
+            key={idx}
+            onClick={() => onSyllableClick?.(item.syllable, idx)}
+            className={`font-bold cursor-pointer select-none transition-colors ${
+              onSyllableClick
+                ? (isDark ? 'hover:text-blue-300' : 'hover:text-blue-600')
+                : ''
+            } ${isDark ? 'text-white' : 'text-slate-900'}`}
+            style={{ fontSize: `${fontSize}px`, letterSpacing: '0.02em' }}
+          >
+            {item.syllable}
+          </span>
+        ))}
+      </div>
+
+      {/* SVG Bows */}
+      <svg
+        width={totalWidth}
+        height={svgHeight}
+        viewBox={`0 0 ${totalWidth} ${svgHeight}`}
+        className="mt-0.5"
+      >
+        {layout.map((item, idx) => {
+          const cx = item.x + item.width / 2
+          const startX = item.x + 2
+          const endX = item.x + item.width - 2
+          const controlY = svgHeight - 2
+
+          return (
+            <path
+              key={idx}
+              d={`M ${startX} 2 Q ${cx} ${controlY} ${endX} 2`}
+              fill="none"
+              stroke={isDark ? 'rgba(96, 165, 250, 0.6)' : 'rgba(37, 99, 235, 0.5)'}
+              strokeWidth={size === 'sm' ? 1.5 : 2}
+              strokeLinecap="round"
+            />
+          )
+        })}
+      </svg>
+    </div>
+  )
+}
+
+/**
+ * Simple client-side syllable splitting fallback.
+ * For accurate results, use the backend pyphen endpoint.
+ */
+export function simpleSyllableSplit(word: string): string[] {
+  // Very basic vowel-based heuristic for display purposes
+  const vowels = /[aeiouyäöü]/i
+  const chars = word.split('')
+  const syllables: string[] = []
+  let current = ''
+
+  for (let i = 0; i < chars.length; i++) {
+    current += chars[i]
+    if (
+      vowels.test(chars[i]) &&
+      i < chars.length - 1 &&
+      current.length >= 2
+    ) {
+      // Check if next char starts a new consonant cluster
+      if (!vowels.test(chars[i + 1]) && i + 2 < chars.length && vowels.test(chars[i + 2])) {
+        syllables.push(current)
+        current = ''
+      }
+    }
+  }
+  if (current) syllables.push(current)
+  return syllables.length > 0 ? syllables : [word]
+}
diff --git a/studio-v2/components/learn/UnitCard.tsx b/studio-v2/components/learn/UnitCard.tsx
index ee20180..826e0f8 100644
--- a/studio-v2/components/learn/UnitCard.tsx
+++ b/studio-v2/components/learn/UnitCard.tsx
@@ -25,6 +25,7 @@ const exerciseTypes = [
   { key: 'flashcards', label: 'Karteikarten', icon: 'M19 11H5m14 0a2 2 0 012 2v6a2 2 0 01-2 2H5a2 2 0 01-2-2v-6a2 2 0 012-2m14 0V9a2 2 0 00-2-2M5 11V9a2 2 0 012-2m0 0V5a2 2 0 012-2h6a2 2 0 012 2v2M7 7h10', color: 'from-amber-500 to-orange-500' },
   { key: 'quiz', label: 'Quiz', icon: 'M8.228 9c.549-1.165 2.03-2 3.772-2 2.21 0 4 1.343 4 3 0 1.4-1.278 2.575-3.006 2.907-.542.104-.994.54-.994 1.093m0 3h.01M21 12a9 9 0 11-18 0 9 9 0 0118 0z', color: 'from-purple-500 to-pink-500' },
   { key: 'type', label: 'Eintippen', icon: 'M9.75 17L9 20l-1 1h8l-1-1-.75-3M3 13h18M5 17h14a2 2 0 002-2V5a2 2 0 00-2-2H5a2 2 0 00-2 2v10a2 2 0 002 2z', color: 'from-blue-500 to-cyan-500' },
+  { key: 'story', label: 'Geschichte', icon: 'M12 6.253v13m0-13C10.832 5.477 9.246 5 7.5 5S4.168 5.477 3 6.253v13C4.168 18.477 5.754 18 7.5 18s3.332.477 4.5 1.253m0-13C13.168 5.477 14.754 5 16.5 5c1.747 0 3.332.477 4.5 1.253v13C19.832 18.477 18.247 18 16.5 18c-1.746 0-3.332.477-4.5 1.253', color: 'from-amber-500 to-yellow-500' },
 ]
 
 export function UnitCard({ unit, isDark, glassCard, onDelete }: UnitCardProps) {