Pattern 35: doc fixes from Slingshot review

[didhd]

Summary

Follow-up to #263. Applies the documentation fixes that came out of the AWS Slingshot scan against multimodal-understanding/repeatable-patterns/35-hybrid-vision-spatial-reasoning/.

README.md

• Split the How to run step that combined "run pipeline" and "write outputs" into separate numbered steps.
• Expanded the absolute claim "any document" to a qualified list ("many documents — real estate listings, personnel directories, magazine spreads, product catalogs").
• Added a Conclusion section that summarizes the pattern and lists next steps.
• Expanded the first mention of S3 to Amazon Simple Storage Service (Amazon S3) and added an explicit permanent-deletion warning to the cleanup instructions.
• Added a cleanup note for the local results/ directory.
• Aligned the SageMaker reference in the cleanup section with the AWS naming registry (Amazon SageMaker AI instances). The Studio reference under setup stays as-is — Amazon SageMaker Studio is the current official feature name and is intentional.

01_yearbook_name_face_matching.ipynb

• Split the Setup section into a dedicated Prerequisites section followed by Setup, listing IAM permission, model access, and Python prerequisites explicitly.
• Replaced the bare display(IPyImage(...)) calls with display(Markdown('![alt-text](path)')) so the rendered images carry descriptive alt text for screen readers.
• Added a Conclusion section.
• Softened the 230 tokens per image pricing claim to a generic reference to the Amazon Bedrock pricing page so the doc does not pin a specific tier.
• Expanded the first mentions of IAM and Bedrock Batch Inference to use the full service name.
• Added a cleanup note for the local results/ directory.

Test plan

• Notebook still runs end-to-end against us-west-2 with us.amazon.nova-2-lite-v1:0 and us.anthropic.claude-sonnet-4-6.
• All three sample pages produce 100% name-to-face associations (20/20, 5/5 with face 0 correctly unmatched, 8/8) — verified after the prompt and notebook edits.
• Notebook outputs cleared before commit.
• No real student data; sample names remain synthetic.

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