Real Agent Cases

Build an early-retirement (FIRE) plan with ChatGPT agent

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Evidence: Shown on videoThe source includes a video or screen recording of the agent doing the task.

Beginner-friendlyNo logins, payments, coding or terminal needed. Low risk: paste the prompt and you should get something useful.

Outcome

With early access, the poster had ChatGPT agent spend 20 minutes researching Vancouver tax law, modeling savings and FIRE scenarios, and producing a downloadable presentation.

Agent

ChatGPT agent

Prompt Recreated prompt

The source did not publish its exact prompt. This one is our reconstruction from what the source describes.

Not sure how to start? Tell me what you're trying to get done and I'll help you turn it into a clear request.

Goal: Build me an early retirement plan for retiring at 30 in Vancouver, and give me the results as a downloadable presentation.

Quick check first: What's your current age, income, savings and monthly spending, roughly?

What I need from you:
- Your city (Vancouver here) and target retirement age
- Your rough income, savings and spending, if you want the plan based on your numbers

Rules:
- Research the local tax rules that apply.
- Look at typical monthly spending, work out the savings needed to retire at 30, and research investment allocation and tax-saving strategies.
- Build several FIRE (early retirement) scenarios.
- If something is missing or unclear, ask me instead of guessing.
- Show your assumptions and sources. This is research, not personal financial advice.
- Stop once the presentation is ready and hand it to me.

Output: A downloadable presentation with the tax research, savings targets, investment ideas and each scenario.

If any of this is unclear, tell me what you have and I'll help fill the gaps.

You'll know it worked when: you have a presentation that shows how much you'd need to save and what each scenario looks like.

Source

https://x.com/rowancheung/status/1945896543263080736

By Rowan Cheung (@rowancheung) · Published Jul 17, 2025 · Added Oct 15, 2026 · Last verified Oct 15, 2026

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