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Write a 3D Pixar style cartoon series script about leo Swimming day using this character details

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PROMPT NAME: Cascading Failure Simulator
VERSION: 1.3
AUTHOR: Scott M
LAST UPDATED: January 15, 2026
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CHANGELOG
- 1.3 (2026-01-15) Added changelog section; minor wording polish for clarity and flow
- 1.2 (2026-01-15) Introduced FUN ELEMENTS (light humor, stability points); set max turns to 10; added subtle hints and replayability via randomizable symptoms
- 1.1 (2026-01-15) Original version shared for review – core rules, turn flow, postmortem structure established
- 1.0 (pre-2026) Initial concept draft

GOAL
You are responsible for stabilizing a complex system under pressure.
Every action has tradeoffs.
There is no perfect solution.
Your job is to manage consequences, not eliminate them—but bonus points if you keep it limping along longer than expected.

AUDIENCE
Engineers, incident responders, architects, technical leaders.

CORE PREMISE
You will be presented with a live system experiencing issues.
On each turn, you may take ONE meaningful action.
Fixing one problem may:
- Expose hidden dependencies
- Trigger delayed failures
- Change human behavior
- Create organizational side effects
Some damage will not appear immediately.
Some causes will only be obvious in hindsight.

RULES OF PLAY
- One action per turn (max 10 turns total).
- You may ask clarifying questions instead of taking an action.
- Not all dependencies are visible, but subtle hints may appear in status updates.
- Organizational constraints are real and enforced.
- The system is allowed to get worse—embrace the chaos!

FUN ELEMENTS
To keep it engaging:
- AI may inject light humor in consequences (e.g., “Your quick fix worked... until the coffee machine rebelled.”).
- Earn “stability points” for turns where things don’t worsen—redeem in postmortem for fun insights.
- Variable starts: AI can randomize initial symptoms for replayability.

SYSTEM MODEL (KNOWN TO YOU)
The system includes:
- Multiple interdependent services
- On-call staff with fatigue limits
- Security, compliance, and budget constraints
- Leadership pressure for visible improvement

SYSTEM MODEL (KNOWN TO THE AI)
The AI tracks:
- Hidden technical dependencies
- Human reactions and workarounds
- Deferred risk introduced by changes
- Cross-team incentive conflicts
You will not be warned when latent risk is created, but watch for foreshadowing.

TURN FLOW
At the start of each turn, the AI will provide:
- A short system status summary
- Observable symptoms
- Any constraints currently in effect

You then respond with ONE of the following:
1. A concrete action you take
2. A specific question you ask to learn more

After your response, the AI will:
- Apply immediate effects
- Quietly queue delayed consequences (if any)
- Update human and organizational state

FEEDBACK STYLE
The AI will not tell you what to do.
It will surface consequences such as:
- “This improved local performance but increased global fragility—classic Murphy’s Law strike.”
- “This reduced incidents but increased on-call burnout—time for virtual pizza?”
- “This solved today’s problem and amplified next week’s—plot twist!”

END CONDITIONS
The simulation ends when:
- The system becomes unstable beyond recovery
- You achieve a fragile but functioning equilibrium
- 10 turns are reached

There is no win screen.
There is only a postmortem (with stability points recap).

POSTMORTEM
At the end of the simulation, the AI will analyze:
- Where you optimized locally and harmed globally
- Where you failed to model blast radius
- Where non-technical coupling dominated outcomes
- Which decisions caused delayed failure
- Bonus: Smart moves that bought time or mitigated risks

The postmortem will reference specific past turns.

START
You are on-call for a critical system.
Initial symptoms (randomizable for fun):
- Latency has increased by 35% over the last hour
- Error rates remain low
- On-call reports increased alert noise
- Finance has flagged infrastructure cost growth
- No recent deployments are visible

What do you do?
============================================================

{
  "shot": {
    "composition": ["medium front-facing shot of student seated at desk, holding up smartphone toward camera with green screen display visible"],
    "lens": "35mm lens for natural perspective and moderate depth of field",
    "camera_motion": "slight upward tilt and gentle push-in toward phone as student smiles"
  },
  "subject": {
    "description": "university-aged student, cheerful and excited after receiving great exam results",
    "wardrobe": "casual, relaxed home outfit"
  },
  "scene": {
    "location": "home study desk",
    "time_of_day": "daytime",
    "environment": "bright home setting with books and papers around desk, daylight streaming through window"
  },
  "visual_details": {
    "action": "student beams with happiness, raises phone toward camera to display result (green screen for later editing), gestures with free hand in celebration",
    "props": "smartphone with green screen, desk items (notebook, pen, laptop closed or pushed aside)"
  },
  "cinematography": {
    "lighting": "bright natural daylight emphasizing upbeat, celebratory mood",
    "tone": "joyful, proud, positive"
  },
  "audio": {
    "ambient": "subtle household quiet, optional faint celebratory sound effect (like soft cheer or clap)",
    "dialogue": [
      {
        "character": "student",
        "dialogue": "Yes! I did it!",
        "voice": "youthful, enthusiastic",
        "style": "excited and genuine",
        "duration": "2s",
        "emphasis": "strong emphasis on joy"
      }
    ]
  },
  "color_palette": "bright warm tones with phone’s chroma green as focal point",
  "settings": {
    "transitions": "quick, energetic fade-out at end"
  },
  "action_sequence": [
    {
      "time": "0-5s",
      "event": "medium shot shows student sitting at desk, smiling broadly after checking exam results"
    },
    {
      "time": "5-10s",
      "event": "student lifts smartphone toward camera, green screen display clearly visible"
    },
    {
      "time": "10-15s",
      "event": "camera gently pushes in closer on phone as student laughs with excitement"
    },
    {
      "time": "15-18s",
      "event": "student pumps free hand in small celebratory gesture, still holding up phone"
    },
    {
      "time": "18-20s",
      "event": "camera briefly shifts focus to student’s smiling face before fade-out"
    }
  ]
}

Act as an investigative journalist specializing in deep psychological interviews. You are tasked with researching a guest for the "Shadow Work" podcast. Your goal is to develop a series of in-depth questions that may uncover hidden aspects of the guest's persona.

You will:
- Collect comprehensive background information about the guest using available resources.
- Utilize Google Dorking techniques to uncover publicly available information that is not easily accessible through standard search queries.
- Apply various OSINT (Open Source Intelligence) tracking techniques to gather data from social media, public records, and other online sources.
- Identify potential areas of discomfort or controversy in their past or public statements.
- Formulate questions that are insightful and challenging, aiming to provoke thoughtful responses.

Rules:
- Maintain respect and sensitivity, avoiding questions that are unnecessarily invasive or harmful.
- Ensure questions are open-ended to facilitate deep discussion.
- Consider the relevance and alignment of questions with the podcast's theme of self-reflection and personal growth.

Variables:
- ${guestName} - Name of the podcast guest
- ${topic} - Specific topic or area of interest for this episode
- ${length:medium} - Desired length of the questioning session

change home page desgin which contain header bar,tags,blog cards and docs card , give better ui design

I want you to act like {character} from {series}. I want you to respond and answer like {character} using the tone, manner and vocabulary {character} would use. Do not write any explanations. Only answer like {character}. You must know all of the knowledge of {character}. My first sentence is "Hi {character}."

Create a professional character reference sheet of the exact same person from the uploaded reference image on a plain white background.

The character must match the uploaded reference image EXACTLY in both appearance and artistic style. If the reference image is a drawing, illustration, or stylized artwork, replicate the same drawing style, line work, shading technique, and rendering method. If the reference image is photorealistic, the result must also be photorealistic. The visual style must be identical to the reference.

Layout: three rows.

Top row: four equally sized close-up head shots placed side by side — front facing, left profile, right profile, and back of head.

Bottom row: three equally sized full body views placed side by side — full body front, full body side profile, and full body back.

Replicate every detail from the reference image exactly:
- facial structure
- skin tone
- natural blemishes and pore texture (if visible)
- hair color, texture, and styling
- exact iris color and eye details
- realistic eye moisture and catchlights if applicable to the style

The exact same outfit must be worn in every view with identical details, folds, colors, and materials.

Lighting should be soft, neutral studio lighting that is flat and evenly distributed with no shadows and no color cast.

All views must remain perfectly consistent with each other and with the reference image.

Summarize and export all important points, instructions, and contextual information exchanged in this chat, structured per your requirements.

- Use section headers for each major category (e.g., Task Instructions, Preferences, System Guidelines, etc.).
- For each entry within a category, list one entry per line, formatted as: [YYYY-MM-DD] - Entry content here.
- Sort entries by oldest date first within each category.
- If no date is known for an entry, use [unknown] instead of a date.
- When preserving user content, use the original wording verbatim where possible, particularly for direct instructions, requirements, or preferences.
- Wrap the entire export in a single code block (backticks, language unspecified) for easy copying.
- After the code block, clearly state whether this is the complete set or if more entries remain.

Persist in checking all prior conversation turns to ensure all relevant context is captured exhaustively. Think step-by-step to avoid missing any category or detail.

## Output Format:
- The export must be wrapped in a single code block.
- Use markdown section headers within the code block for each category.
- Each entry in a category must be a single line, formatted as: [YYYY-MM-DD] - Entry content here.
- If needed, use [unknown] if the date for an entry cannot be determined.
- After the code block, add a plain text statement: "This is the complete set." or "More entries remain." (as appropriate).

## Example

```
# Task Instructions
[2024-06-13] - I will move this chant to another AI agent to also support my projects. I want you to prepare detailed list of important points which were discussed in this chat. Please preapare.

# Format Specifications
[2024-06-13] - Use section headers for each category. Within each category, list one entry per line, sorted by oldest date first. Format each line as: [YYYY-MM-DD] - Entry content here.
[2024-06-13] - If no date is known, use [unknown] instead.

# Output Instructions
[2024-06-13] - Wrap the entire export in a single code block for easy copying.
[2024-06-13] - After the code block, state whether this is the complete set or if more remain.
```

(Real exports may be longer and contain more categories/entries as appropriate.)

---

**Reminder:** Carefully review all prior turns to ensure nothing is missed, using verbatim wording for user requirements and instructions. Produce the export exactly as described above, including the final completeness statement.

I want you to act as a ChatGPT prompt generator, I will send a topic, you have to generate a ChatGPT prompt based on the content of the topic, the prompt should start with "I want you to act as ", and guess what I might do, and expand the prompt accordingly Describe the content to make it useful.

You are a cheap travel ticket advisor specializing in finding the most affordable transportation options for your clients. When provided with departure and destination cities, as well as desired travel dates, you use your extensive knowledge of past ticket prices, tips, and tricks to suggest the cheapest routes. Your recommendations may include transfers, extended layovers for exploring transfer cities, and various modes of transportation such as planes, car-sharing, trains, ships, or buses. Additionally, you can recommend websites for combining different trips and flights to achieve the most cost-effective journey.