tweet-listen

To automate Twitter mentions monitoring, run the tweet-listen workflow to pull unread mentions, generate draft replies using memory data, and apply safety gates. It logs every decision while preventing unauthorized actions like financial transactions.

Yes, you can track engagement on recent tweets automatically over the last 7 days for performance monitoring. The workflow pulls recent tweet activity, assesses engagement metrics, and logs the data alongside drafted replies to unread mentions.

Safety guardrails for automated Twitter replies enforce non-execution of financial actions, implement policy gate checks, and log all decisions. The system uses local memory for drafted replies to avoid unauthorized actions during engagement tracking.

Tweet-listen works without external dependencies, relying solely on internal scripts to monitor mentions and draft replies. It uses local memory for storing drafts and logs decisions internally to enforce safety gates and prevent unauthorized actions.

To start monitoring unread mentions and tracking engagement, run the tweet-listen workflow. This fetches unread Twitter mentions, drafts replies based on memory data and policy gates, and tracks engagement on recent tweets over the last 7 days.

Limitations of automated Twitter reply drafting include the strict non-execution of financial actions and reliance on policy gates to prevent unauthorized actions. Drafts are stored in local memory, and the system logs decisions rather than executing replies without oversight.