Project Version Continuity Failure

The problem

In long technical work, ChatGPT can split related work across similar-titled conversations and lose the current artifact/version state. That is dangerous during live beta deployment, where uploading the wrong version can break a public site.

Observed workflow impact

• Multiple similar threads existed for the same AWS/Lambda/CloudFront project.
• Artifacts were produced with conflicting version numbers.
• The assistant generated a lower version than the user's actual live state.

Requested product fix

Add a project-level artifact state panel showing latest version, generating chat, timestamp, target system, and deployment notes. Warn before creating older or duplicate artifacts.

2000-character report

ChatGPT needs project-level artifact/version continuity. During rapid AWS Lambda/CloudFront beta deployment, related conversations split into similar-titled threads with different artifact versions. The assistant generated an older v023 while another thread/live state was already at v024, creating risk of deploying the wrong version to a public website. Technical users need a visible project state: current artifact/version, producing chat, timestamp, deployment target, and warning before generating duplicate/older versions. Conversation titles are not enough for production-like iterative build/test/deploy loops.