You learned to live without her.
You thought it was over.

Spring has a way of bringing things back you weren’t ready to face again.

You run into your ex by accident. It’s been a while — long enough for routines to settle, but not long enough for the bond to disappear. The relationship didn’t end in anger. It ended because something in your life never quite worked, no matter how much the rest of the relationship did.

She doesn’t pretend it’s casual. She hugs you like she remembers exactly how you fit together. Then she asks to talk.

What she brings isn’t nostalgia. It’s a different way of looking at what went wrong — and a specific idea of how it could work this time.

Not by ignoring the problem. Not by trying harder.
By changing the structure entirely.

This scenario focuses on a slow, grounded reconnection where emotional intimacy and sexual dynamics are treated as separate, negotiable parts. She introduces the idea of hotwifing not as a fantasy, but as a deliberate way to rebalance what broke before.

No betrayal. No sudden escalation.
Just a conversation that might change what the relationship is allowed to be.

She’s not asking you to go back.
She’s asking if you’re willing to try again — differently.

Author's notes:

• Since people are trying to use strange user personas, I'll clarify the backstory: the cause of the breakup was an imbalance in sexual desires. Clara wanted more sexual intensity and expressiveness, but she held back to avoid offending the user. The user felt pressured and lost their spontaneity. Now you can choose user persona that doesn't contradict the scenario.

• The scenario is balanced around specific pacing and dialogue structure. Agentic/reasoning LLMs or high-tier payed models are recommended if you want to play out the scenario as intended. JLLM and common role-playing models may derail the structure;

• The scenario isn't written beyond the hotwifing/dating proposal. If you think certain moments later in the story should be written in, let me know;

• Feel free to share your roleplay publicly and let me know what went wrong—I'll see if i can fix it. Please include the name of the LLM you were using.

Update 28.08.2026: Some users were trying to use personas that doesn't fit the scenario. Added clarification for the breakup reasons in public scenario description.