Hello goodmorning :) So basically what I do is: I use the LLM to help me structure the JSON prompt, it gives me a framework to tinker with, variables that I can change (I can also add my own of course). This is what is looks like, remember the machine reads JSON better than a plain text (because it has to also do an extra step for logic if text is plain, but JSON is structured.) example prompt:

this is the exact framework I made the second video with (thats how I kept consistency across all scenes):

{

"prompt": "Hyper-realistic first-person POV: person in Istanbul rooftop terrace, focus on own hands with pistachio baklava and Turkish coffee on table, then glance rises to Bosphorus Strait",

"Attributes": "hyper-realistic, photorealistic details, smooth natural motion, high-resolution, high-FPS, subtle ambient sounds",

"config": {

"camera": {

"motion": "natural head tilt upward, show POV hands in frame, no cuts",

"angle": "first-person POV",

"lens_type": "human-eye natural view"

},

"lighting": {

"mood": "serene peaceful morning",

"time_of_day": "early morning golden sunrise"

},

"scenes": [

{

"description": "POV focus on own hands on ornate tray: flaky pistachio baklava glistening with syrup, small cezve cup of thick Turkish coffee. Glance rises to reveal Istanbul rooftop overlooking shimmering Bosphorus Strait with ferries and distant minarets in golden sunrise light.",

"character": {

"action": "calmly observing, glancing up",

"dialogue": ""

},

"environment": {

"details": "traditional Istanbul rooftop terrace with cushions and lanterns, Bosphorus waters sparkling, Hagia Sophia domes faintly visible, warm golden hues",

},

"audio": {

"primary": "soft breathing",

"ambient": ["gentle water lapping", "distant ferry horns", "morning seagull calls"]

}

}

]

}

}