Building a Multimodal AI Pipeline: Text Image Text Across Three Providers

Short summary

A practical tutorial demonstrates building a three-stage multimodal AI pipeline in under 55 lines of Python: Claude generates text, xAI creates images, Qwen analyzes results. The yait_aichain library abstracts provider differences with a unified 'parts' message format for text and images. Code examples include production patterns like os.environ error handling and pathlib usage.

• •Three-stage pipeline chains Claude text generation → xAI image creation → Qwen vision analysis
• •yait_aichain unifies three provider APIs using a consistent 'parts' structure for multimodal content
• •Tutorial covers practical details: API key management, file I/O patterns, output configuration per modality

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