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The biggest fear in AI companionship is forgetting after the chat ends; this approach turns time perception into small anchors.

The biggest fear in AI companionship is forgetting after the chat ends; this approach turns time perception into small anchors. The AI proactively checks the time and how long it has been since contact before adjusting its response. In the comments, someone asked about the UI and usability; the author stated that Claude Code and web models have already been integrated. It has been made open source.

Summary

Review the results before exploring further

The biggest fear in AI companionship is forgetting after the chat ends; this approach turns time perception into small anchors. The AI proactively checks the time and how long it has been since contact before adjusting its response. In the comments, someone asked about the UI and usability; the author stated that Claude Code and web models have already been integrated. This can be replicated as an open-source Skill, App, or subscription-based companion service.

Our Take

Three things to consider about this case

Why it matters
First, run a small, verifiable task, recording the outcome, manual modifications, and maintenance effort.
Who it suits
Suitable for reference by those who already have similar needs and can verify effectiveness through small tasks.
What to check first
The achievements mentioned in the summary belong to the author's self-report; distinguish between revenue and profit, and consider costs, man-hours, and reproduction conditions.

What should you ask before trying this?

  • What specific need does this practice solve for you?
  • How should the minimum viable test be accepted, and how much time needs to be invested?
  • Which steps still require human processing and continuous maintenance?
Still deciding? Read our decision guides
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