update progress and future work for slicertms

Author: shkimmie-umb

PW45_2026_Boston/Projects/AiDrivenInterfaceForSlicertms/Cookbook matching.png

@@ -59,14 +59,64 @@ SlicerTMS is a 3DSlicer module for patient-specific transcranial stimulation. It
 
 
 
-## Progress and Next Steps
-
-<!-- Update this section as you make progress, describing of what you have ACTUALLY DONE.
-     If there are specific steps that you could not complete then you can describe them here, too. -->
-
-
-_No response_
-
+## Progress
+
+- SlicerTMS Navigation workflow automated by integrating Local LLM.
+- SlicerTMS Registration feature is controlled by cookbook: RAG router bypassing LLM logic for known tasks. Near zero-latency for defined commands.
+- LLM does not write raw Python code. System runs on deterministic medical API execution.
+
+```text
+=========================================================================
+[ PHASE 1: IMPLEMENTED ] Zero-Hallucination Deterministic Flow
+=========================================================================
+Concept: Direct route bypasses LLM logic for safe, immediate execution.
+
+[ User Input ] ➔ ( e.g., "Load Patient Data", "Open Registration" )
+        ↓
+[ RAG Router ]    ━━━ ( Semantic Similarity Calculation )
+        ↓
+        ┣━━━ [ Match > 0.35 ] ➔ [ Cookbook Execution ] ➔ ( 0s Latency )
+        ┃                               ↓ 
+        ┃                       Bypass LLM Logic
+        ┃                               ↓
+        ┃                     [ Strict JSON Payload ]
+        ┃                               ↓
+        ┃                ( Safe Medical API Execution )
+```
+Cookbook Matching </br>
+<img src="./Cookbook matching.png" width="400" alt="Description">
+
+Surface Registration
+<img src="./surface registration.png" width="700" alt="Description"> </br>
+
+
+
+## Next Steps
+
+- AI Agent must understand scenes and coordinates before reasoning (Spatial understanding).
+- AI agent should execute active Read-Reason-Action loops. System should auto-correct spatial errors like "F10 is 2mm off".
+- Local LLMs must be evaluated against cloud models like Claude: accuracy vs execution speed for targeting tasks.
+```text
+[ PHASE 2: FUTURE WORK ] Active Scene Introspection & Reasoning Loop
+=========================================================================
+Concept: LLM acts as a "Tool User" with bi-directional spatial awareness.
+
+[ Surgeon Input ] ➔ ( e.g., "F10 is off by 2mm, move it down" )
+        ↓
+[ RAG Router ]    ━━━ ( Semantic Similarity Calculation )
+        ↓
+        ┗━━━ [ Match < 0.35 ] ➔ [ LLM Deep Reasoning ] 
+                                        ↓
+                         [ Bi-Directional Query Loop ]
+                                        ↓
+                  1. READ   ➔ Calls GetNodeCoordinate("F10")
+                  2. RETURN ⬅ Slicer: {"F10": [x:45.2, y:12.1, z:55.0]}
+                  3. REASON ➔ Calculate Offset (Z: 55.0 - 2.0 = 53.0)
+                  4. ACTION ➔ Triggers Cookbook: MoveNode("F10", [0,0,-2])
+```
+
+Active AI Agent </br>
+<img src="./future_1.png" width="700" alt="Description"> </br>
 
 
 # Illustrations