Apr 20 • Wins 🏆
Built a session-limited AI system to control usage (and it worked better than expected)
Recently worked on an AI system for a music industry website redesign.
There were two parts to it:
- A public-facing AI chat widget for general queries + lead capture
- A private, full-screen AI assistant inside the client portal.
The second one was more interesting.
The client didn’t just want “AI support” — they were concerned about users overusing it and burning unnecessary tokens.
So instead of a typical chatbot, I designed a session-based interaction system:
- Each user gets a 5-minute active window
- At minute 4 → a warning is triggered (“1 minute left”)
- At minute 5 → session ends + redirects to an external GPT
- Then a 5-minute cooldown kicks in
- After cooldown → user can start again
It basically runs in a loop.
What’s interesting is how this changes behavior:
Users become more intentional with their questions instead of treating it like an endless chat.
Also ended up optimizing one of their internal workflows in the process:
A task that used to take ~6 hours manually is now done in under 10 minutes.
No fancy theory here—just structuring AI usage in a way that actually makes sense operationally.
Still experimenting with how far this “controlled AI interaction” approach can go.
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Built a session-limited AI system to control usage (and it worked better than expected)
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