How I Rehearsed a $200K Salary Battle with One AI Prompt (No Coding)

My site: https://natebjones.com
My substack: https://natesnewsletter.substack.com/

Takeaways
1. Digital-Twin Super Prompt: A single, system-level prompt collects scenario details, embeds them, and instantly launches a multi-stakeholder simulation—no code required.
2. Deterministic State Machine: A fixed nine-question intake script plus echo-confirmation ensures the model gathers exactly what it needs, one answer at a time.
3. Explicit Output Contract: Clear purpose, mode, effort, references, and “BEGIN ROUND 1” delimiter lock the twins’ identities and prevent drift throughout the run.
4. Model Behavior Matters: In tests, o3 played a hard-nosed negotiator, while 4o was friendlier and gave away an extra $6 K—highlighting real-world differences between models.
5. Versatile Use Cases: The framework handles salary talks, product approvals, sales pitches, board debates, and interviews—any situation with competing stakeholders.
6. Built-in Debrief & Metrics: Automatic scorecards, concession ledgers, and post-round analysis turn each run into a learning loop for sharpening strategy.

Quotes
“We’re literally measuring in dollars the dumbness of the model.”
“Humans aren’t great at simulating an entire boardroom—this prompt lets ChatGPT do it for us.”
“I create a deterministic state machine: ask, confirm, embed, and run.”

Summary
In this walkthrough I unpack my Digital-Twin Negotiation Builder prompt and demonstrate its power. By defining a clear role, a nine-question intake, and an explicit output contract, I turn ChatGPT into a deterministic state machine capable of realistic, multi-stakeholder simulations. Live demos—one product pitch and one salary negotiation—show the prompt in action and reveal sharp contrasts between o3 and 4o: o3 negotiates hard while 4o flatters and concedes an extra $6 K. The same framework can stress-test interviews, sales deals, or board debates, giving anyone a no-code way to rehearse high-stakes conversations.

Keywords
digital twin, negotiation simulation, prompt engineering, deterministic state machine, progressive disclosure, ChatGPT o3, ChatGPT 4o, salary negotiation, product approval, concession ledger, multi-stakeholder dialogue, AI prompting