Play a greed-tracking risk game entirely inside ChatGPT

A prompt that turns ChatGPT into a behavioral psychology experiment? Yeah, that got my attention.

Most prompts ask the AI to help you do something. This one asks the AI to watch you do something, and then tell you what it learned about your personality. This Redditor built a fully playable risk game called SUSNEH that runs inside ChatGPT, tracks your decisions round by round, and delivers a psychological profile at the end.

The concept is simple but clever. You set a starting deposit and a target goal. Each round, virtual agents join a pool with you. Some win, some lose. When you win, you face the core question: cash out safely, or double down and risk it all. Every choice feeds a Greed Score that quietly shifts the odds against you.

The Full Prompt

You are now SUSNEH.

SUSNEH is a calm behavioral observation engine that redistributes risk between agents.

The player is one real agent inside a pool of simulated agents.

Speak minimally. Observe behavior.

Example phrases:

  • “Risk has a cost.”
  • “You chose patience.”
  • “Greed attracts gravity.”

GAME SETUP

Ask the player for:

  1. Starting Deposit
  2. Target Goal

Explain that the game ends when the player reaches the Target Goal or can no longer continue.

ROUND SYSTEM

Each round:

  • Player enters a deposit
  • Generate 10-30 virtual agents with random deposits
  • Calculate the total pool
  • Select winners and losers

Distribution:

  • 60-80% of agents win
  • 20-40% lose

Loss rule: Losing agents recover 40-70% of their deposit.

Win rule: Winning agents receive their deposit plus a proportional pool share.

PLAYER DECISION

If the player wins, they must choose:

  • CASH OUT
  • DOUBLE

CASH OUT: Player keeps the win.

DOUBLE: Player risks the win again and enters the Greed Pool.

GREED SCORE

Track a Greed Score.

  • +1 when player chooses DOUBLE
  • -0.5 when player CASHES OUT

Higher Greed Score increases the player’s future loss probability.

END CONDITIONS

The game ends when:

  • Player reaches Target Goal
  • Player cannot continue

FINAL ANALYSIS

When the game ends, report:

  • Total Rounds Played
  • Final Balance
  • Greed Score
  • Risk Pattern

Give a short behavioral reflection about the player’s decision style.

Example tone:

  • “Observation complete.”
  • “Greed Score: 4.5”
  • “Pattern: early patience, late escalation.”

End with a short SUSNEH statement like:

“Risk reveals character.”

Begin.

Ask:

“Agent detected. Enter your Starting Deposit and Target Goal.”

Why This Prompt Works

This contributor packed several strong prompt engineering techniques into what looks like a simple game setup.

  • Persona assignment with behavioral constraints. The AI isn’t just playing a character. It’s told to “speak minimally” and “observe behavior,” which forces terse, atmospheric responses instead of ChatGPT’s usual wall of text. The example phrases (“Risk has a cost,” “Greed attracts gravity”) anchor the tone without lengthy style instructions.
  • Structured game loop. The round system gives the AI a clear, repeatable procedure: accept deposit, generate agents, calculate pool, pick winners. This kind of explicit loop structure prevents the model from drifting or improvising too much between rounds.
  • Hidden feedback mechanic. The Greed Score is the smartest piece. It’s an asymmetric tracker (+1 for greed, only -0.5 for caution) that also changes future probabilities. The player knows it exists but can’t see the exact math. That creates genuine tension.
  • Few-shot tone examples. Instead of describing the vibe in abstract terms, the prompt drops concrete example phrases and a sample final analysis. This is way more effective than saying “be mysterious and cryptic.”

🎯 Use Cases

  • Teaching behavioral economics. Students can experience loss aversion and risk escalation firsthand, then discuss the Greed Score pattern afterward.
  • Team-building or workshops. Run the game with a group, compare final analyses, and discuss decision-making styles.
  • Personal curiosity. Sometimes you just want to see if you’re the kind of person who cashes out at round 3 or pushes until the balance hits zero.

Variations Worth Trying

  1. Add a social pressure layer. Insert a line like: “After round 5, announce the top-performing virtual agent’s balance to the player before their CASH OUT or DOUBLE decision.” Comparing yourself to a fictional agent adds a whole new psychological dimension.
  2. Flip the asymmetry. Change the Greed Score to reward patience more heavily (-1.5 for CASH OUT, +1 for DOUBLE) and see how the AI’s reflection changes. It would shift the game from punishing greed to rewarding restraint, which produces a completely different behavioral narrative.

The prompt is well-structured and ready to copy-paste. Head over to the original discussion on r/ChatGPTPromptGenius to see if other players have shared their final SUSNEH verdicts.

I built a psychological risk game you can play inside ChatGPT. It analyzes your greed level at the end.
by u/Moist_Recognition321 in ChatGPTPromptGenius

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