diff --git a/implementation/implementation_taskintentions_done.md b/implementation/implementation_taskintentions_done.md
index 29cb810..57d8047 100644
--- a/implementation/implementation_taskintentions_done.md
+++ b/implementation/implementation_taskintentions_done.md
@@ -426,7 +426,7 @@ class LoopingUseCase:
     """Configuration for a specific looping use case."""
     
     # Identification
-    useCaseId: str  # "section_content", "chapter_structure", "document_structure", "code_structure", "code_content", "image_batch"
+    useCaseId: str  # "section_content", "chapter_structure", "code_structure", "code_content"
     
     # JSON Format Detection
     jsonTemplate: Dict[str, Any]  # Expected JSON structure template
@@ -533,15 +533,6 @@ class LoopingUseCaseRegistry:
             requiresExtraction=False
         ))
         
-        # Use Case 3: Document Structure Generation
-        self.register(LoopingUseCase(
-            useCaseId="document_structure",
-            jsonTemplate={"documents": [{"sections": []}]},
-            detectionKeys=["sections"],
-            detectionPath="documents[0].sections",
-            initialPromptBuilder=buildDocumentStructurePrompt,
-            continuationPromptBuilder=buildDocumentStructureContinuationPrompt,
-            accumulator=accumulateDocumentSections,
             merger=mergeDocumentSections,
             continuationContextBuilder=buildDocumentContinuationContext,
             resultBuilder=buildDocumentResultFromSections,
@@ -598,17 +589,6 @@ class LoopingUseCaseRegistry:
             requiresExtraction=False
         ))
         
-        # Use Case 6: Image Batch Generation (NEW)
-        self.register(LoopingUseCase(
-            useCaseId="image_batch",
-            jsonTemplate={"images": []},
-            detectionKeys=["images"],
-            detectionPath="images",
-            initialPromptBuilder=buildImageBatchPrompt,
-            continuationPromptBuilder=buildImageBatchContinuationPrompt,
-            accumulator=None,  # Direct return
-            merger=None,
-            continuationContextBuilder=buildImageContinuationContext,
             resultBuilder=None,
             supportsAccumulation=False,
             requiresExtraction=False
@@ -644,7 +624,7 @@ class AiCallLooper:
         Generic looping system with parametrized use case.
         
         Args:
-            useCaseId: REQUIRED explicit use case ID (e.g., "code_structure", "document_structure", "section_content")
+            useCaseId: REQUIRED explicit use case ID (e.g., "code_structure", "section_content", "chapter_structure")
             promptArgs: Optional arguments for prompt builders
             ... (other args)
         """
@@ -1400,7 +1380,7 @@ async def execute(self, parameters: Dict[str, Any]) -> ActionResult:
 2. **Generic Looping System**
    - Create `LoopingUseCase` dataclass
    - Create `LoopingUseCaseRegistry`
-   - Register existing use cases (section_content, chapter_structure, document_structure)
+   - Register existing use cases (section_content, chapter_structure, code_structure)
    - Refactor `subAiCallLooping.py` to use registry
 
 ### Phase 2: Code Generation (Weeks 3-4)