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. Join the Vibe Coding Academy: vibecodingacademy.dev Sign up for my free newsletter: https://www.alexfinn.ai/subscribe Follow my X: https://x.com/AlexFinnX My $300k/yr AI app: https://www.creatorbuddy.io/ 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
