diff --git a/backend/services/today_workflow_service.py b/backend/services/today_workflow_service.py
index f88730ef..02b59fe0 100644
--- a/backend/services/today_workflow_service.py
+++ b/backend/services/today_workflow_service.py
@@ -54,6 +54,14 @@ def _proposal_priority_rank(priority: str) -> int:
 
 
 def _proposal_order_key(proposal: Any) -> tuple:
+    # Handle both object and dict access for compatibility
+    if isinstance(proposal, dict):
+        return (
+            str(proposal.get("source_agent") or "").lower(),
+            str(proposal.get("title") or "").lower(),
+            str(proposal.get("description") or "").lower(),
+            str(proposal.get("action_url") or "").lower(),
+        )
     return (
         str(getattr(proposal, "source_agent", "") or "").lower(),
         str(getattr(proposal, "title", "") or "").lower(),
@@ -62,6 +70,19 @@ def _proposal_order_key(proposal: Any) -> tuple:
     )
 
 
+def _get_agent_proposal_timeout_seconds(grounding: Dict[str, Any]) -> float:
+    workflow_config = grounding.get("workflow_config", {}) if isinstance(grounding, dict) else {}
+    if not isinstance(workflow_config, dict):
+        return 4.0
+
+    raw_timeout = workflow_config.get("agent_proposal_timeout_seconds", 4.0)
+    try:
+        timeout_seconds = float(raw_timeout)
+    except (TypeError, ValueError):
+        return 4.0
+    return max(1.0, timeout_seconds)
+
+
 def _fallback_tasks(date: str) -> List[Dict[str, Any]]:
     return [
         {
@@ -308,39 +329,82 @@ async def generate_agent_enhanced_plan(db: Session, user_id: str, date: str) ->
     logger.info(f"Gathering daily task proposals from agent committee for user {user_id}")
     
     agent_tasks = []
+    committee_total_failure = False
     try:
-        # Define agents to poll
-        agents_to_poll = [
-            orchestrator.agents.get('content'),      # ContentStrategyAgent
-            orchestrator.agents.get('strategy'),     # StrategyArchitectAgent
-            orchestrator.agents.get('seo'),          # SEOOptimizationAgent
-            orchestrator.agents.get('social'),       # SocialAmplificationAgent
-            orchestrator.agents.get('competitor'),   # CompetitorResponseAgent
-        ]
-        
+        agent_timeout_seconds = _get_agent_proposal_timeout_seconds(grounding)
+
+        # Define agents to poll (keyed for logging/metrics)
+        agents_to_poll = {
+            "content": orchestrator.agents.get('content'),
+            "strategy": orchestrator.agents.get('strategy'),
+            "seo": orchestrator.agents.get('seo'),
+            "social": orchestrator.agents.get('social'),
+            "competitor": orchestrator.agents.get('competitor'),
+        }
+
         # Filter out None agents (disabled/failed init)
-        active_agents = [a for a in agents_to_poll if a]
-        
-        # Execute propose_daily_tasks in parallel
-        results = await asyncio.gather(
-            *[a.propose_daily_tasks(grounding) for a in active_agents],
-            return_exceptions=True
+        active_agents = {key: agent for key, agent in agents_to_poll.items() if agent}
+
+        async def _collect_agent_proposals(agent_key: str, agent: Any) -> Dict[str, Any]:
+            started_at = datetime.now(timezone.utc)
+            try:
+                proposals = await asyncio.wait_for(agent.propose_daily_tasks(grounding), timeout=agent_timeout_seconds)
+                elapsed_ms = (datetime.now(timezone.utc) - started_at).total_seconds() * 1000
+                return {
+                    "agent_key": agent_key,
+                    "status": "ok",
+                    "elapsed_ms": elapsed_ms,
+                    "proposals": proposals if isinstance(proposals, list) else [],
+                }
+            except asyncio.TimeoutError:
+                elapsed_ms = (datetime.now(timezone.utc) - started_at).total_seconds() * 1000
+                return {
+                    "agent_key": agent_key,
+                    "status": "timeout",
+                    "elapsed_ms": elapsed_ms,
+                    "proposals": [],
+                    "error": f"Timed out after {agent_timeout_seconds:.2f}s",
+                }
+            except Exception as agent_error:
+                elapsed_ms = (datetime.now(timezone.utc) - started_at).total_seconds() * 1000
+                return {
+                    "agent_key": agent_key,
+                    "status": "error",
+                    "elapsed_ms": elapsed_ms,
+                    "proposals": [],
+                    "error": str(agent_error),
+                }
+
+        # Execute propose_daily_tasks in parallel with per-agent timeout
+        committee_results = await asyncio.gather(
+            *[_collect_agent_proposals(agent_key, agent) for agent_key, agent in active_agents.items()]
         )
-        
-        # Collect successful proposals
+
+        successful_agent_count = 0
         raw_proposals = []
-        for res in results:
-            if isinstance(res, list):
-                # Normalize pillar IDs and filter invalid proposals
-                for proposal in res:
-                    pillar_id = str(proposal.get("pillarId") or "").lower().strip()
-                    if pillar_id not in PILLAR_IDS:
-                        logger.warning(f"Skipping proposal with invalid pillarId: {pillar_id}. Proposal: {proposal}")
-                        continue
-                    proposal["pillarId"] = pillar_id
-                    raw_proposals.append(proposal)
-            elif isinstance(res, Exception):
-                logger.warning(f"Agent proposal failed: {res}")
+        for res in committee_results:
+            agent_key = res.get("agent_key")
+            status = res.get("status")
+            elapsed_ms = res.get("elapsed_ms")
+
+            logger.info(
+                "Agent committee proposal metric | agent={} status={} elapsed_ms={:.2f} timeout_s={:.2f} proposal_count={}",
+                agent_key,
+                status,
+                elapsed_ms,
+                agent_timeout_seconds,
+                len(res.get("proposals") or []),
+            )
+
+            if status == "ok":
+                successful_agent_count += 1
+                raw_proposals.extend(res.get("proposals") or [])
+            elif status == "timeout":
+                logger.warning(f"Agent proposal timed out for {agent_key}: {res.get('error')}")
+            else:
+                logger.warning(f"Agent proposal failed for {agent_key}: {res.get('error')}")
+
+        committee_total_failure = successful_agent_count == 0
 
         # 3. Filter Redundant Proposals (Self-Learning)
         # Note: We need to ensure we don't filter out essential recurring tasks if they were completed long ago
@@ -350,19 +414,26 @@ async def generate_agent_enhanced_plan(db: Session, user_id: str, date: str) ->
         # Simple deduplication based on title+pillar
         unique_map = {}
         for p in raw_proposals:
-            key = f"{p.pillar_id}:{p.title}"
+            # Normalize pillar IDs and filter invalid proposals (re-apply from PR #383)
+            pillar_id = str(p.get("pillarId") or "").lower().strip()
+            if pillar_id not in PILLAR_IDS:
+                logger.warning(f"Skipping proposal with invalid pillarId: {pillar_id}. Proposal: {p}")
+                continue
+            p["pillarId"] = pillar_id
+
+            key = f"{p.get('pillarId')}:{p.get('title')}"
             if key not in unique_map:
                 unique_map[key] = p
                 continue
 
             existing = unique_map[key]
-            if _proposal_priority_rank(p.priority) > _proposal_priority_rank(existing.priority):
+            if _proposal_priority_rank(p.get('priority')) > _proposal_priority_rank(existing.get('priority')):
                 unique_map[key] = p
                 continue
 
             # Deterministic tie-breaker for equal priority proposals.
             if (
-                _proposal_priority_rank(p.priority) == _proposal_priority_rank(existing.priority)
+                _proposal_priority_rank(p.get('priority')) == _proposal_priority_rank(existing.get('priority'))
                 and _proposal_order_key(p) < _proposal_order_key(existing)
             ):
                 unique_map[key] = p
@@ -374,32 +445,51 @@ async def generate_agent_enhanced_plan(db: Session, user_id: str, date: str) ->
                 
     except Exception as e:
         logger.error(f"Committee proposal phase failed: {e}")
+        committee_total_failure = True
         # Continue to fallback or LLM generation if committee fails
 
     # 4. Final Selection
-    # If we have agent tasks, use them. Otherwise fall back to LLM generation.
-    if agent_tasks:
+    # Use committee outcomes whenever committee partially succeeds, even with sparse proposals.
+    if not committee_total_failure:
         logger.info(f"Generated {len(agent_tasks)} tasks via Agent Committee")
-        
+
         # Convert TaskProposal objects to dicts for frontend
         final_tasks = []
         for prop in agent_tasks:
-            final_tasks.append({
-                "pillarId": prop.pillar_id,
-                "title": prop.title,
-                "description": prop.description,
-                "priority": prop.priority,
-                "estimatedTime": prop.estimated_time,
-                "actionType": prop.action_type,
-                "actionUrl": prop.action_url,
-                "enabled": True,
-                "metadata": {
-                    "source_agent": prop.source_agent,
-                    "reasoning": prop.reasoning,
-                    "context_data": prop.context_data
-                }
-            })
-            
+            # Handle both object and dict types
+            if isinstance(prop, dict):
+                final_tasks.append({
+                    "pillarId": prop.get("pillarId"),
+                    "title": prop.get("title"),
+                    "description": prop.get("description"),
+                    "priority": prop.get("priority"),
+                    "estimatedTime": prop.get("estimatedTime"),
+                    "actionType": prop.get("actionType"),
+                    "actionUrl": prop.get("actionUrl"),
+                    "enabled": True,
+                    "metadata": {
+                        "source_agent": prop.get("source_agent"),
+                        "reasoning": prop.get("reasoning"),
+                        "context_data": prop.get("context_data")
+                    }
+                })
+            else:
+                final_tasks.append({
+                    "pillarId": prop.pillar_id,
+                    "title": prop.title,
+                    "description": prop.description,
+                    "priority": prop.priority,
+                    "estimatedTime": prop.estimated_time,
+                    "actionType": prop.action_type,
+                    "actionUrl": prop.action_url,
+                    "enabled": True,
+                    "metadata": {
+                        "source_agent": prop.source_agent,
+                        "reasoning": prop.reasoning,
+                        "context_data": prop.context_data
+                    }
+                })
+
         final_tasks = _ensure_pillar_coverage(final_tasks, user_id, date, grounding)
         return {
             "date": date,