🔹 AI Prompt Logic – Hybrid Approach

As we discussed before, Vision Quest will use three types of AI-driven prompts:

✅ Small Reflections (Totems, Shrines, Campfires, etc.) → Single Prompt → Single Response.

✅ Major Milestones (Shaman & Potion Visions) → Adaptive AI Logic (deeper interactions).

✅ Final Summary Document → AI-generated "Next Steps" artifact, summarizing insights.

This approach balances quick self-reflection with immersive AI-driven dialogue at key moments.

🔍 AI Prompt Formatting

To ensure AI responses feel natural & meaningful, prompts will follow a structured format:

🟢 Small Reflection Prompts (Totems, Shrines, Campfires)

• Format:
  • Setup (Describe the moment)
  • Question (Prompt self-reflection)
  • Response Capture (Player types response)
  • Acknowledgment (AI acknowledges & reinforces insight)

🧠 Example:

🔥 The fire crackles gently, casting flickering shadows around you.

“What is something you've always wanted to pursue, but never have?”

(Player types response...)

AI Response: "That longing has meaning. Perhaps it is time to listen."

✅ Outcome: The player reflects in short bursts, reinforcing self-awareness.

🟠 Major Milestone Prompts (Shaman & Potion Visions)

• Format:
  • Setup (Cinematic storytelling, deep scenario setup)
  • Guiding Question (More thought-provoking than smaller prompts)
  • Adaptive Follow-ups (AI adjusts based on user’s response)
  • Final Takeaway (Shaman offers wisdom before moving on)

🧠 Example (Shaman Checkpoint – Facing Fear):

Shaman: "Fear and excitement live side by side. Tell me—what kind of challenge makes you feel alive, rather than afraid?"

(Player types response...)

AI Follow-up: "Ah... so you are drawn to challenges that test your limits. What is the next bold step you must take to embrace this fully?"

✅ Outcome: The AI deepens the reflection by adapting to responses.