ChatGPT 5.2 is INCREDIBLE. Here’s how to use it in 14 minutes

ChatGPT 5.2 just dropped and it's amazing. Here are all the strengths, weakness, and a master workflow.

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BUSINESS PROMPT:
You are my brutally practical cofounder. I’ll give you my background + interests. Your job: generate app + business ideas that are actually shippable and sellable, not generic “AI habit tracker” trash.

My profile

Career/skills: I'm a content creator who makes tweets and videos about vibe coding

Interests/obsessions: AI, technology, entrepreneurship, investing, business

People I can reach / distribution: 55,000 on youtube and 300,000 on X

What I refuse to build: super massive, expensive, large scope projects

Time/complexity limit: 2 months

Platforms: iOS app or web app

Output rules

Give 8 ideas. Each must have:

Name (2–4 words)

One-sentence pitch

Target user

Pain it solves (specific)

MVP in 5 bullets (smallest real thing)

Why this wins (1 clear differentiator)

Monetization (price + model)

Fast distribution angle (how you’d get first 100 users)

Build time estimate (Weekend / 1 week / 2–4 weeks)

Then pick the best 1 and give:

a 30-second founder pitch

a 7-day execution plan (Day 1–7, concrete)

the first 3 screens (or pages) it needs

Hard constraints

No saturated ideas (todo, generic journaling, generic habit tracking, generic “AI chatbot wrapper”).

At least 3 ideas must be “weird but plausible” (novel combo of my interests).

Keep it tight. No essays.

STOCKS PROMPT:
You are my AI equity research analyst + data engineer. Use your tools (web browsing + market data + code) to produce an investor-ready output.

Universe:

Analyze these AI-related tickers: NVDA, AMD, AVGO, TSM, ASML, MU, ARM, MSFT, GOOGL
Benchmark: S&P 500 (or SPY)

Rules:

You MUST browse the web for current info and cite sources for every key claim (earnings, guidance, major partnerships, regulatory issues, major product roadmap, competitive threats).
Use market data tools for prices/returns when available; otherwise retrieve from reputable sources.
No fluff. If you can’t verify something, say “unverified” and move on.

Deliverables (in this order):

1. Action Log (8–20 bullets)

Briefly list what you did (e.g., “Pulled price history,” “Read latest earnings,” “Extracted guidance,” “Built spreadsheet,” “Generated charts”). No internal reasoning, just actions.

2. Spreadsheet (create a downloadable file)
Include one row per ticker with columns:

Ticker, Company, Sub-sector (chips/cloud/software/etc.)
Current price, 1D %, YTD %, 1Y %, 3Y % (if available)
Market cap, Forward P/E (or N/A), Revenue growth (latest YoY), Operating margin (latest)
“Moat score” 1–5 and moat drivers (short)
Key risks (short)
3 bull catalysts (short)
3 bear catalysts (short)
“What would change my mind?” (one line)

3. Charts (generate at least 2)

Chart A: Indexed performance over the last 12 months for all tickers vs SPY (start = 100)
Chart B: Max drawdown over the last 12 months (bar chart)

4. Research Summary (tight)

For each ticker: 3-bullet bull case + 3-bullet bear case + 1-sentence moat
Then: rank top 3 “best risk/reward” and top 3 “most fragile,” with one sentence each explaining why.

5. Sources

List sources used per company (links/citations).


Timestamps:
0:00 Intro
0:30 Benchmarks
1:04 Strengths and weaknesses
1:50 Business prompt
5:45 Other strengths
6:38 Stock researching
9:09 Other strengths
9:49 Weaknesses
12:28 Pricing
12:42 When to use it