Causes of the problem
When the AI detects a single pattern of conversation or insufficient information, it tends to fall into set responses.
Systemic solutions
- topic hopping::
- Introducing new elements every 5 messages (sudden mention of a noise outside the window)
- Use of the "change of perspective" template ("What would you do?")
- memory trigger::
- Create a bank of 5-10 keyword topics (e.g., "childhood trauma" for a character).
- Manually enter the trigger word when a duplicate is detected (format: /memory keyword)
- Personality Stacking Technique::
- Temporary modification of character settings in long conversations (adding "drunk" status)
- Use the /rp command to switch subpersonalities (/rp Dark Side active)
- External incentive system::
- Setting up customized reward words (AI gets extra computational resources for saying the word "dragonglass")
- Use segmented dialog objectives (complete 3 plot nodes first to unlock special responses)
Tool Recommendations
Use a notepad to keep track of 1) topics discussed 2) threads to be developed and 3) character anomalies.
Effectiveness Verification
Characteristics of an Effective Cracking Loop: 1) Fluctuations in response length > 30% 2) Emergence of new details that are not pre-positioned 3) Active initiation of rhetorical questions or challenges
This answer comes from the articleCrushOn.AI: AI Platform for Unlimited NSFW Chat with Virtual CharactersThe































