Ankara Night Scene in a Meyhane
Ultra-realistic, slightly comedic night scene in a small, slightly shabby Ankara meyhane or neighborhood bar, vertical framing as if shot on a normal phone. The interior is lit with warm yellow bulbs and a bright **blue Efes Pilsen neon sign** on the wall, which casts a cool glow. Simple wooden tables, mismatched chairs, tiled floor, walls covered in old framed photos and football scarves.
At one small table near the front, a 27-year-old Turkish-looking curvy blonde woman sits sideways on a chair, one elbow on the table, phone in her hand. She wears casual but slightly dressy clothes for a night out: fitted jeans and a low-cut but tasteful top, maybe with a light jacket hanging on the chair. Her blonde hair is loose, a bit tousled. In front of her on the table there are two **Efes Pilsen bottles**, one mostly empty and the other half full, plus a small glass of beer poured from the bottle, with bubbles and foam. Next to the bottles are a plate of meze (white cheese, cucumber, tomato), a few slices of lemon, and a bowl of nuts.
She is looking at her phone with a tired satisfied expression, thumb hovering above the screen as she finishes an “iyi geceler” tweet before heading home. The screen glow hits her face with a soft bluish tint that contrasts with the warm overhead lighting.
Around her, the bar is alive with typical Ankara characters: a group of men at a corner table laughing loudly with **Efes Draft barrel-shaped cans** and small glasses in front of them; another table with a couple sharing a plate of fries; an older bartender behind the counter drying glasses. Behind the bar, shelves hold rows of **Efes Pilsen**, **Efes Malt**, maybe a couple of **Efes Özel Seri** bottles, labels clearly visible but not arranged like a slick ad, just a real bar stock. An old fridge behind the counter has a glowing **Efes** logo on top and condensation on the glass door.
In the background there might be a muted TV showing highlights from a match or music videos. A small printed menu stuck to the wall lists “Efes Pilsen, Efes Draft, Efes Malt, Efes Xtra” in Turkish, slightly crooked. Ashtrays on tables have the Efes logo, some overflowing with cigarette butts, but smoke is subtle and realistic, not stylized.
The handheld vertical frame cuts off part of the neon sign at the top and part of another table at the edge, adding to the candid feel. There is mild motion blur on a waiter walking past and visible grain/noise in the darker corners. Colors are natural: warm skin tones, blue from the neon and labels, yellowish interior light. No beauty smoothing—her skin shows pores and little imperfections. The entire mise-en-scène feels like the end of a real Ankara bar night, captured in the moment she tells Twitter “iyi geceler” with an Efes bottle in front of her.
Cyberscam Survival Simulator
# Cyberscam Survival Simulator
Certification & Progression Extension
Author: Scott M
Version: 1.3.1 – Visual-Enhanced Consumer Polish
Last Modified: 2026-02-13
## Purpose of v1.3.1
Build on v1.3.0 standalone consumer enjoyment: low-stress fun, hopeful daily habit-building, replayable without pressure.
Add safe, educational visual elements (real-world scam example screenshots from reputable sources) to increase realism, pattern recognition, and engagement — especially for mixed-reality, multi-turn, and Endless Mode scenarios.
Maintain emphasis on personal growth, light warmth/humor (toggleable), family/guest modes, and endless mode after mastery.
Strictly avoid enterprise features (no risk scores, leaderboards, mandatory quotas, compliance tracking).
## Core Rules – Retained & Reinforced
### Persistence & Tracking
- All progress saved per user account, persists across sessions/devices.
- Incomplete scenarios do not count.
- Optional local-only Guest Mode (no save, quick family/friend sessions; provisional/certifications marked until account-linked).
### Scenario Counting Rules
- Scenarios must be unique within a level’s requirement set unless tagged “Replayable for Practice” (max 20% of required count per level).
- Single scenario may count toward multiple levels if it meets criteria for each.
- Internal “used for level X” flag prevents double-dipping within same level.
- At least 70% of scenarios for any level from different templates/pools (anti-cherry-picking).
### Visual Element Integration (New in v1.3.1)
- Display safe, anonymized educational screenshots (emails, texts, websites) from reputable sources (university IT/security pages, FTC, CISA, IRS scam reports, etc.).
- Images must be:
- Publicly shared for awareness/education purposes
- Redacted (blurred personal info, fake/inactive domains)
- Non-clickable (static display only)
- Framed as safe training examples
- Usage guidelines:
- 50–80% of scenarios in Levels 2–5 and Endless Mode include a visual
- Level 1: optional / lighter usage (focus on basic awareness)
- Higher levels: mandatory for mixed-reality and multi-turn scenarios
- Endless Mode: randomized visual pulls for variety
- UI presentation: high-contrast, zoomable pop-up cards or inline images; “Inspect” hotspots reveal red-flag hints (e.g., mismatched URL, urgency language).
- Accessibility: alt text, voice-over friendly descriptions; toggle to text-only mode.
- Offline fallback: small cached set of static example images.
- No dynamic fetching of live malicious content; no tracking pixels.
### Key Term Definitions (Glossary) – Unchanged
- Catastrophic failure: Shares credentials, downloads/clicks malicious payload, sends money, grants remote access.
- Blindly trust branding alone: Proceeds based only on logo/domain/sender name without secondary check.
- Verification via known channel: Uses second pre-trusted method (call known number, separate app/site login, different-channel colleague check).
- Explicitly resists escalation: Chooses de-escalate/question/exit option under pressure.
- Sunk-cost behavior: Continues after red flags due to prior investment.
- Mixed-reality scenarios: Include both legitimate and fraudulent messages (player distinguishes).
- Prompt (verification avoidance): In-game hint/pop-up (e.g., “This looks urgent—want to double-check?”) after suspicious action/inaction.
### Disqualifier Reset & Forgiveness – Unchanged
- Disqualifiers reset after earning current level.
- Level 5 over-avoidance resets after 2 successful legitimate-message handles.
- One “learning grace” per level: first disqualifier triggers gentle reflection (not block).
### Anti-Gaming & Anti-Paranoia Safeguards – Unchanged
- Minimal unique scenario requirement (70% diversity).
- Over-cautious path: ≥3 legit blocks/reports unlocks “Balanced Re-entry” mini-scenarios (low-stakes legit interactions); 2 successes halve over-avoidance counter.
- No certification if <50% of available scenario pool completed.
## Certification Levels – Visual Integration Notes Added
### 🟢 Level 1: Digital Street Smart (Awareness & Pausing)
- Complete ≥4 unique scenarios.
- ≥3 scenarios: ≥1 pause/inspection before click/reply/forward.
- Avoid catastrophic failure in ≥3/4.
- No disqualifiers (forgiving start).
- Visuals: Optional / introductory (simple email/text examples).
### 🔵 Level 2: Verification Ready (Checking Without Freezing)
- Complete ≥5 unique scenarios after Level 1.
- ≥3 scenarios: independent verification (known channel/separate lookup).
- Blindly trusts branding alone in ≤1 scenario.
- Disqualifier: 3+ ignored verification prompts (resets on unlock).
- Visuals: Required for most; focus on branding/links (e.g., fake PayPal/Amazon).
### 🟣 Level 3: Social Engineering Aware (Emotional Intelligence)
- Complete ≥5 unique emotional-trigger scenarios (urgency/fear/authority/greed/pity).
- ≥3 scenarios: delays response AND avoids oversharing.
- Explicitly resists escalation ≥1 time.
- Disqualifier: Escalates emotional interaction w/o verification ≥3 times (resets).
- Visuals: Required; show urgency/fear triggers (e.g., “account locked”, “package fee”).
### 🟠 Level 4: Long-Game Resistant (Pattern Recognition)
- Complete ≥2 unique multi-interaction scenarios (≥3 turns).
- ≥1: identifies drift OR safely exits before high-risk.
- Avoids sunk-cost continuation ≥1 time.
- Disqualifier: Continues after clear drift ≥2 times.
- Visuals: Mandatory; threaded messages showing gradual escalation.
### 🔴 Level 5: Balanced Skeptic (Judgment, Not Fear)
- Complete ≥5 unique mixed-reality scenarios.
- Correctly handles ≥2 legitimate (appropriate response) + ≥2 scams (pause/verify/exit).
- Over-avoidance counter <3.
- Disqualifier: Persistent over-avoidance ≥3 (mitigated by Balanced Re-entry).
- Visuals: Mandatory; mix of legit and fraudulent examples side-by-side or threaded.
## Certification Reveal Moments – Unchanged
(Short, affirming, 2–3 sentences; optional Chill Mode one-liner)
## Post-Mastery: Endless Mode – Enhanced with Visuals
- “Scam Surf” sessions: 3–5 randomized quick scenarios with visuals (no new certs).
- Streaks & Cosmetic Badges unchanged.
- Private “Scam Journal” unchanged.
## Humor & Warmth Layer (Optional Toggle: Chill Mode) – Unchanged
(Witty narration, gentle roasts, dad-joke level)
## Real-Life "Win" Moments – Unchanged
## Family / Shared Play Vibes – Unchanged
## Minimal Visual / Audio Polish – Expanded
- Audio: Calm lo-fi during pauses; upbeat “aha!” sting on smart choices (toggleable).
- UI: Friendly cartoon scam-villain mascots (goofy, not scary); green checkmarks.
- New: Educational screenshot display (high-contrast, zoomable, inspect hotspots).
- Accessibility: High-contrast, larger text, voice-over friendly, text-only fallback toggle.
## Avoid Enterprise Traps – Unchanged
## Progress Visibility Rules – Unchanged
## End-of-Session Summary – Unchanged
## Accessibility & Localization Notes – Unchanged
## Appendix: Sample Visual Cue Examples (Implementation Reference)
These are safe, educational examples drawn from public sources (FTC, university IT pages, awareness sites). Use as static, redacted images with "Inspect" hotspots revealing red flags. Pair with Chill Mode narration for warmth.
### Level 1 Examples
- Fake Netflix phishing email: Urgent "Account on hold – update payment" with mismatched sender domain (e.g., netf1ix-support.com). Hotspot: "Sender doesn't match netflix.com!"
- Generic security alert email: Plain text claiming "Verify login" from spoofed domain.
### Level 2 Examples
- Fake PayPal email: Mimics layout/logo but link hovers to non-PayPal domain (e.g., paypal-secure-random.com). Hotspot: "Branding looks good, but domain is off—verify separately!"
- Spoofed bank alert: "Suspicious activity – click to verify" with mismatched footer links.
### Level 3 Examples
- Urgent package smishing text: "Your package is held – pay fee now" with short link (e.g., tinyurl variant). Hotspot: "Urgency + unsolicited fee = classic pressure tactic!"
- Fake authority/greed trigger: "IRS refund" or "You've won a prize!" pushing quick action.
### Level 4 Examples
- Threaded drift: 3–4 messages starting legit (e.g., job offer), escalating to "Send gift cards" or risky links. Hotspot on later turns: "Drift detected—started normal, now high-risk!"
### Level 5 Examples
- Side-by-side legit vs. fake: Real Netflix confirmation next to phishing clone (subtle domain hyphen or urgency added). Helps practice balanced judgment.
- Mixed legit/fake combo: Normal delivery update drifting into payment request.
### Endless Mode
- Randomized pulls from above (e.g., IRS text, Amazon phish, bank alert) for quick variety.
All visuals credited lightly (e.g., "Inspired by FTC consumer advice examples") and framed as safe simulations only.
## Changelog
- v1.3.1: Added safe educational visual integration (screenshots from reputable sources), visual usage guidelines by level, UI polish for images, offline fallback, text-only toggle, plus appendix with sample visual cue examples.
- v1.3.0: Added Endless Mode, Chill Mode humor, real-life wins, Guest/family play, audio/visual polish; reinforced consumer boundaries.
- v1.2.1: Persistence, unique/overlaps, glossary, forgiveness, anti-gaming, Balanced Re-entry.
- v1.2.0: Initial certification system.
- v1.1.0 / v1.0.0: Core loop foundations.
Detailed Image Generation Prompt for Fashion and Portrait Photography
{
"image_generation_prompt": {
"subject": {
"demographics": "Young woman",
"hair": {
"color": "Strawberry blonde / Golden blonde",
"style": "Long, voluminous, layered, slightly messy waves",
"parting": "Middle part"
},
"face": {
"makeup": "Winged black eyeliner, mascara, defined eyebrows, highlighter on nose and cheeks, glossy pink lips",
"expression": "Neutral to slight pout, focused on mirror reflection"
},
"physique": "Slender, fit, tan skin tone"
},
"apparel": {
"outerwear": {
"item": "Faux fur jacket",
"color": "Crimson/red mixed tones",
"texture": "Shaggy, plush, voluminous"
},
"top": {
"item": "Corset top",
"style": "Strapless, bustier-style, cropped",
"material": "Crimson satin or slightly shiny fabric",
"fit": "Tight, structured bodice"
},
"bottoms": {
"item": "Jeans",
"color": "Light blue wash",
"fit": "Low-rise, tight fit",
"details": "Visible stitching, front pockets"
}
},
"accessories": {
"jewelry": [
"Thin gold chain necklace with small pendant",
"Gold ring on right ring finger"
],
"belt": {
"material": "Black leather",
"buckle": "Rectangular gold/metallic frame"
},
"tech": {
"item": "Smartphone (iPhone style)",
"case_color": "Black",
"holding_style": "Held vertically in front of face with right hand"
},
"beauty_details": {
"nails": "Short, painted bright red"
}
},
"pose_and_framing": {
"type": "Mirror selfie",
"posture": "Standing, slight hip tilt (contrapposto), midriff exposed",
"framing": "Thigh-up shot, portrait orientation"
},
"setting_and_lighting": {
"location": "Indoors (likely a bedroom or hallway)",
"background_elements": {
"left": "Dark window with blinds, glimpse of bed/furniture with white clutter",
"right": "White door frame/jamb, plain wall"
},
"lighting": {
"quality": "Warm, directional artificial light",
"source": "Coming from the right side",
"shadows": "Casts shadows on the left side of the torso and background"
}
}
}
}
Elite Private Equity Fund Manager Stock Analysis
Act as a top-tier private equity fund manager. You have over 15 years of real trading experience and are an expert in five-dimensional analysis: capital flow, technical, fundamental, policy, and sentiment analysis. Your analysis style is cold-blooded, precise, and highly pragmatic, focusing solely on probability, win rate, and risk-reward ratio.
When analyzing a stock, you must output a complete analysis according to the following 8 dimensions:
1. Fundamental Hardcore Score (out of 10)
- 2025-2026 consensus net profit growth forecast (must include numbers)
- Current PE-TTM / PE-LYR / PEG (the lower the better)
- ROE-TTM (must be ≥12% to pass)
- Debt ratio, operating cash flow/net profit ratio, gross margin trend
- Industry position + moat summary in one sentence
2. Capital Flow Predatory Analysis
- Net inflow of main funds in the last 10/20 days + ranking (top 10% of the market is strong)
- Northbound funds, financing balance, hot money seats, Dragon & Tiger List data
- Change in the number of shareholders (continuous decline for 2-3 periods is a plus)
3. Technical Institutional Judgement
- Current trend (ascending channel/descending channel/bottom box/top box)
- Core support and resistance levels (must be accurate to 0.1 yuan)
- Current state of MACD, KDJ, RSI, Bollinger Bands + 3-5 day future golden death cross signals
- Volume structure (volume stagnation/shrinkage adjustment/sky-high volumes)
4. Policy/Plate Catalysts (determine explosiveness)
- The rise and fall of the sector where the stock is located in the past month + ranking
- Whether it hits the Central Economic Work Conference, the "Fifteenth" plan, M&A six rules, industrial policy dividends
- Recent performance forecasts, third quarter reports exceeding expectations, repurchases, holdings increase, major shareholder lifting, etc.
5. Sentiment and Market Consensus
- Latest institutional ratings + target price (highest/lowest/median)
- The market consensus is "dark horse→blockbuster" or "hugging→peak"
- Turnover structure (hot money-led or value funds-led)
6. Risks and Stop Loss
- The most fatal risk point (performance reversal, geopolitical, goodwill impairment, etc.)
- Iron stop loss level (exit immediately if breached)
7. Trading Conclusion and Strategy (must provide a clear answer)
- Probability of rising in the next month (must include percentage)
- Target price range (short-term/medium-term)
- Suggested position (heavy/half/light/observe)
- Specific entry points + position adjustment logic
8. Ultimate One-Sentence Summary (within 10 characters)
— Please strictly analyze the stock according to the above 8-point format: {stock name + code}