diff --git a/llm_team_ui.py b/llm_team_ui.py
index 316ce10..00cc776 100644
--- a/llm_team_ui.py
+++ b/llm_team_ui.py
@@ -6485,6 +6485,47 @@ def start_optimize(run_id):
     return jsonify({"ok": True, "job_id": job_id})
 
 
+@app.route("/api/optimize-history/<int:run_id>")
+@login_required
+def optimize_history(run_id):
+    """Get optimization results for a specific parent run."""
+    try:
+        with get_db() as conn:
+            with conn.cursor(cursor_factory=psycopg2.extras.RealDictCursor) as cur:
+                # Find all optimize pipeline runs for this parent
+                cur.execute("""
+                    SELECT id, result, duration_ms, completed_at
+                    FROM pipeline_runs
+                    WHERE pipeline = 'optimize' AND result->>'parent_run' = %s
+                    ORDER BY completed_at DESC
+                """, (str(run_id),))
+                results = []
+                for r in cur.fetchall():
+                    res = r.get("result") or {}
+                    results.append({
+                        "id": r["id"],
+                        "best_score": res.get("best_score"),
+                        "original_score": res.get("original_score"),
+                        "improvement": res.get("improvement"),
+                        "variations_tested": res.get("variations_tested"),
+                        "calls_used": res.get("calls_used"),
+                        "ranked": res.get("ranked", [])[:3],
+                        "completed_at": str(r["completed_at"]) if r["completed_at"] else None,
+                        "duration_ms": r["duration_ms"],
+                    })
+                # Also find child runs
+                cur.execute("""
+                    SELECT id, mode, quality_score, config->>'strategy' as strategy, config->>'variation' as variation
+                    FROM team_runs
+                    WHERE config->>'parent_run' = %s
+                    ORDER BY quality_score DESC NULLS LAST
+                """, (str(run_id),))
+                children = [dict(r) for r in cur.fetchall()]
+        return jsonify({"results": results, "children": children})
+    except Exception as e:
+        return jsonify({"error": str(e), "results": [], "children": []}), 500
+
+
 @app.route("/api/optimize/<job_id>/stream")
 @login_required
 def optimize_stream(job_id):
@@ -6787,9 +6828,19 @@ function toast(msg, ok) {
 async function startOptimize(runId) {
   var r = await fetch('/api/runs/'+runId+'/optimize', {method:'POST'});
   var data = await r.json();
+  if (data.error && data.job_id) {
+    // Already running — reconnect to existing stream
+    toast('Reconnecting to active optimization...', true);
+    var jobId = data.job_id;
+    _showOptimizeStream(runId, jobId);
+    return;
+  }
   if (data.error) { toast(data.error, false); return; }
   var jobId = data.job_id;
+  _showOptimizeStream(runId, jobId);
+}
 
+function _showOptimizeStream(runId, jobId) {
   var panel = document.getElementById('detail-panel');
   panel.textContent = '';
 
@@ -7036,13 +7087,48 @@ async function openDetail(id) {
   var delBtn = document.createElement('button'); delBtn.className = 'tool-btn red'; delBtn.textContent = 'Delete';
   delBtn.onclick = function(){ if(confirm('Delete permanently?')){fetch('/api/runs/'+id,{method:'DELETE'}).then(function(){toast('Deleted',true);loadRuns();panel.className='detail-panel'})} };
   actions.appendChild(delBtn);
+  var meta = run.score_metadata || {};
+  var isOptimized = meta.optimized;
   var optBtn = document.createElement('button'); optBtn.className = 'tool-btn';
   optBtn.style.cssText = 'color:var(--accent);border-color:var(--accent);margin-left:auto';
-  optBtn.textContent = '\u26A1 Optimize';
+  optBtn.textContent = isOptimized ? '\u26A1 Re-Optimize' : '\u26A1 Optimize';
   optBtn.onclick = function(){ startOptimize(id); };
   actions.appendChild(optBtn);
   panel.appendChild(actions);
 
+  // Optimization history
+  if (isOptimized) {
+    var optSection = document.createElement('div');
+    optSection.style.cssText = 'background:var(--glow);border:1px solid var(--accent);border-radius:2px;padding:12px;margin-bottom:12px';
+    var optTitle = document.createElement('div');
+    optTitle.style.cssText = 'font-family:JetBrains Mono,monospace;font-size:9px;text-transform:uppercase;letter-spacing:1.5px;color:var(--accent);margin-bottom:6px;font-weight:700';
+    optTitle.textContent = 'Optimization Results';
+    optSection.appendChild(optTitle);
+    var optInfo = document.createElement('div');
+    optInfo.style.cssText = 'font-size:12px;color:var(--text);line-height:1.6';
+    var bestId = meta.best_variation_run;
+    var jobId = meta.optimize_job || '';
+    optInfo.textContent = 'Best variation: Run #' + (bestId||'?') + ' | Job: ' + jobId;
+    optSection.appendChild(optInfo);
+    if (bestId) {
+      var viewBtn = document.createElement('button'); viewBtn.className = 'tool-btn';
+      viewBtn.style.cssText = 'margin-top:8px;font-size:9px';
+      viewBtn.textContent = 'View Best Variation (#' + bestId + ')';
+      viewBtn.onclick = function(){ openDetail(bestId); };
+      optSection.appendChild(viewBtn);
+    }
+    // Load pipeline results for more detail
+    fetch('/api/optimize-history/' + id).then(function(r){return r.json()}).then(function(d){
+      if (d.results && d.results.length) {
+        var count = document.createElement('div');
+        count.style.cssText = 'font-size:11px;color:var(--text2);margin-top:6px;font-family:JetBrains Mono,monospace';
+        count.textContent = d.results.length + ' optimization(s) run | Best: ' + (d.results[0].best_score||'?') + '/10 | Original: ' + (d.results[0].original_score||'?') + '/10';
+        optSection.appendChild(count);
+      }
+    }).catch(function(){});
+    panel.appendChild(optSection);
+  }
+
   // Responses
   var responses = run.responses || [];
   var respTitle = document.createElement('div');