diff --git a/conductor/product.md b/conductor/product.md
index 164fa30..79bdb79 100644
--- a/conductor/product.md
+++ b/conductor/product.md
@@ -42,7 +42,8 @@ For deep implementation details when planning or implementing tracks, consult `d
   - **Worker Spawn Interceptor:** A mandatory security gate that intercepts every sub-agent launch. Provides a GUI modal allowing the user to review, modify, or reject the worker's prompt and file context before it is sent to the API.
 - **Strict Memory Siloing:** Employs tree-sitter AST-based interface extraction (Skeleton View, Curated View) and "Context Amnesia" to provide workers only with the absolute minimum context required, preventing hallucination loops.
 - **Explicit Execution Control:** All AI-generated PowerShell scripts require explicit human confirmation via interactive UI dialogs before execution, supported by a global "Linear Execution Clutch" for deterministic debugging.
-- **Parallel Tool Execution:** Executes independent tool calls (e.g., parallel file reads) concurrently using an asynchronous execution engine, significantly reducing end-to-end latency for complex AI turns.
+- **Parallel Multi-Agent Execution:** Executes multiple AI workers in parallel using a non-blocking execution engine and a dedicated `WorkerPool`. Features configurable concurrency limits (defaulting to 4) to optimize resource usage and prevent API rate limiting.
+- **Parallel Tool Execution:** Executes independent tool calls (e.g., parallel file reads) concurrently within a single agent turn using an asynchronous execution engine, significantly reducing end-to-end latency.
 - **Automated Tier 4 QA:** Integrates real-time error interception in the shell runner, automatically forwarding technical failures to cheap sub-agents for 20-word diagnostic summaries injected back into the worker history.
 - **Detailed History Management:** Rich discussion history with branching, timestamping, and specific git commit linkage per conversation.
 - **In-Depth Toolset Access:** MCP-like file exploration, URL fetching, search, and dynamic context aggregation embedded within a multi-viewport Dear PyGui/ImGui interface.
diff --git a/conductor/tech-stack.md b/conductor/tech-stack.md
index 93f3068..335f8a5 100644
--- a/conductor/tech-stack.md
+++ b/conductor/tech-stack.md
@@ -43,7 +43,8 @@
 - **Taxonomy & Artifacts:** Enforces a clean root by organizing core implementation into a `src/` directory, and redirecting session logs and artifacts to configurable directories (defaulting to `logs/sessions/` and `scripts/generated/`). Temporary test data and test logs are siloed in `tests/artifacts/` and `tests/logs/`.
 - **ApiHookClient:** A dedicated IPC client for automated GUI interaction and state inspection.
 - **mma-exec / mma.ps1:** Python-based execution engine and PowerShell wrapper for managing the 4-Tier MMA hierarchy and automated documentation mapping.
-- **dag_engine.py:** A native Python utility implementing `TrackDAG` and `ExecutionEngine` for dependency resolution, cycle detection, transitive blocking propagation, and programmable task execution loops.
+- **dag_engine.py:** A native Python utility implementing `TrackDAG` and `ExecutionEngine` for dependency resolution, cycle detection, transitive blocking propagation, and programmable task execution loops. Refined to decouple status management from dependency resolution to support external pool control.
+- **multi_agent_conductor.py:** Orchestrates the concurrent execution of implementation tracks using a non-blocking `ConductorEngine` and a thread-safe `WorkerPool`. Employs configurable concurrency limits and thread-local context isolation to manage multi-agent state.
 - **Thread-Local Context Isolation:** Utilizes `threading.local()` for managing per-thread AI client context (e.g., source tier tagging), ensuring thread safety during concurrent multi-agent execution.
 - **Asynchronous Tool Execution Engine:** Refactored MCP tool dispatch and AI client loops to use `asyncio.gather` and `asyncio.to_thread`, enabling parallel execution of independent tool calls within a single AI turn to reduce latency.