Table of Contents: Architecting a Giant - 17 Products Enhanced by AI
(100-Day Journey)
| Day | Topic | Notes / Link |
|---|---|---|
| 1/100 | Starting the 100-Day Journey & Introduction | View Post |
| 2/100 | Which AI to choose for analyzing investment projects? | This page |
| ... | ... | ... |
| 100/100 | ... |
🤖 AI Showdown: Gemini vs. ChatGPT vs. Grok for Project Analysis 🚀
Part 1: The Initial Test - Methodology 🧠
(Continued from Day 1...)
My first question to the AIs was simple: "What is your methodology?" 🤔
Every AI provides a pretty slick answer, but in my research, Gemini was the one that presented a clear, structured methodology right from the start. Before even touching the project details, Gemini laid out a strategic analysis framework based on FAST:
- Feasibility ✅
- Accelerated cash flow generation 💸
- Sustainability & Threat (Risk) level 🛡️
This wasn't something I prompted! It showed me that each AI has its own way of thinking. ChatGPT and Grok were similar, giving a general overview and objectives. ChatGPT did a bit better by listing evaluation criteria, but it wasn't nearly as detailed or systematic as Gemini.
Scores for this round:
- Gemini: +1 🥇
- ChatGPT: +0.5 👍
Part 2: The Data Wars - Who Has the Best Fuel? ⛽
An AI is only as good as its data, right?
Google (Gemini): Has a colossal data advantage. We're talking Google Search, Google Scholar 📚, Google Translate, YouTube, Google Docs... plus the entire internet that's constantly feeding its bots for SEO purposes 😅. This massive, diverse dataset is an advantage rivals can only dream of. 👑
OpenAI (ChatGPT): Has the first-mover advantage. It has a gigantic user base feeding it endless questions, feedback, and prompts. Plus, it's backed by the financial muscle of Microsoft. 💪
xAI (Grok): Has access to the real-time, chaotic data firehose of X (formerly Twitter) with its ~650 million users. However, for deep research, this isn't ideal. X is mostly short-form news, memes, and entertainment. The in-depth data just can't compete with the other two giants.
Scores for this round:
- Gemini: +1.5 🥇
- ChatGPT: +1.0 👍
- Grok: +0.5 🤷
Part 3: The Powerhouse - Context & Ecosystem 🔌
How much information can they handle at once?
- Gemini: Supports up to a 1 million token context window. 🤯 This is massive, allowing it to analyze thousands of pages or an entire complex codebase in one go.
- ChatGPT & Grok: Limited to 128k tokens.
What about professional integration?
- Gemini: Deeply integrated into the Google Workspace ecosystem (Docs, Sheets, etc.), making it highly synchronized. 🔗
- ChatGPT: Integrated into the Microsoft ecosystem as Copilot. While the MS ecosystem (Windows, Office) is huge, the integration feels less seamless since OpenAI and Microsoft are separate companies. 🤝
- Grok: Just has the Tesla/xAI ecosystem. At this point, I'm taking Grok out of the race. 👋
Scores for this round:
- Gemini: +1 🥇
- ChatGPT & Grok: +0.5 👍
Part 4: The Real-World Challenge - Project Analysis 📊
This is where it gets interesting.
ChatGPT was very smart and immediately identified the project I was most passionate about. ❤️
But Gemini did something incredible that ChatGPT completely missed (unless I specifically asked for it): it analyzed the legal risks. ⚖️ Gemini independently found the project's GitHub repo, analyzed its open-source license, and gave me clear, serious warnings ⚠️ about potential policy violations and abuses. It even gave my projects cool names like "Project Phoenix" (for a project I wanted to revive) and "Navigating the Walled Garden" (for projects with hidden mandatory costs like a $99 Apple Developer fee). I absolutely loved this. ChatGPT just ignored this critical aspect.
However, when it came to the detailed project analysis (ignoring legalities), ChatGPT shined. ✨ It did the most thorough research on the technical feasibility. As a solo dev, this is the most crucial factor! I don't know why Gemini overlooked it. If you can't overcome the technical hurdles, the project is dead on arrival. 💀
Furthermore, on my question about the fastest path to cash flow 💰, ChatGPT provided a much more realistic timeline, considering development, app store reviews, payment gateway holding periods, etc. Gemini's analysis felt a bit superficial here; it would quickly dismiss a project if it hit any obstacle, without providing a deep, comparative breakdown.
Part 5: The Final Verdict 🏆
So, what's the conclusion?
Gemini is probably the best AI tool for initial, high-level strategic research. It sets up a fantastic framework and catches critical things like legal risks that others miss.
ChatGPT seems to be better for deep, granular analysis, especially on the technical side.
All AIs need good prompts to deliver great results, but Gemini seems to make the initial process a bit easier and safer.
But in the end, why choose? 🤔 I'm a grown-up, I don't choose A or B... I choose them all! 😁 The best approach is to use both, compare their outputs, and synthesize the results yourself.
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