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Automating WeChat article publication requires a full pipeline that generates an outline, creates image prompts, generates images, inserts them into the draft, runs preflight validation, and optionally publishes via API. This ensures no required artifacts are missing before finalizing the draft.

Converting a diary into a WeChat post involves generating an outline.md, creating prompt-driven images stored in imgs/, inserting those images into the article, and appending the original diary text to memory/YYYY-MM-DD.md for memory writeback before preflight checks.

Yes, you can use bun and python3 to run opinionated scripts that integrate baoyu-slide-deck, baoyu-image-gen and baoyu-post-to-wechat with fixed model, provider, and ratio defaults to execute a deterministic publication workflow and one-button auto_publish flow.

Preflight checks block publishing when files or images are missing and report structured errors for remediation. This safety mechanism ensures drafts are never published without required outlines, prompts, generated images, and proper image insertion.

The best way to prepare illustrations and outlines is using a deterministic tooling pipeline that enforces creation of outline.md, generates prompt-driven images, inserts them automatically, and validates all required artifacts before publishing to the WeChat draftbox.

The workflow stops at the draftbox by default unless you explicitly request final publish, and preflight validation always blocks publishing when required files, outlines, prompts, or generated images are missing, reporting structured errors instead.