Developer encodes three safeguards after adding comment reader to autonomous article pipeline

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A developer running an autonomous article-generation pipeline on Dev.to added a public comment-reading feature, which introduced new security and data-integrity challenges. To prevent prompt injection, all ingested comment data is explicitly labelled as untrusted input so the pipeline cannot mistake reader requests for executable instructions. The corpus size is recorded in the same header to ensure sparse engagement data — currently 28 comments across 258 articles — is weighted appropriately rather than misread as a broad trend. External links found within comments are quarantined and require human review before any automated step can act on them, closing a potential injection surface. Finally, topics surfaced from comments are treated only as candidates for a separate decision step, not as directives, and must pass the same source-verification requirements applied to all other pipeline inputs.

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