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Alex Prompter Profile picture
@alex_prompter
Aug 29 • 9 tweets • 3 min read • Read on X
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AI is getting scarily good at app development.

I asked 3 models to code a timer app from scratch:

🇺🇸 ChatGPT
🇨🇳 Qwen
🇨🇳 Kimi

Here's the result (prompt + demos 👇) Image
Prompt I used:

"Create a simple timer app using only HTML, CSS, and JavaScript. It should have Start, Pause, and Reset buttons and display the elapsed time in mm:ss format."
1. ChatGPT

✅ Fully functional
✅ Clean, modern design
✅ Smooth UX

It nailed both functionality and presentation.

chatgpt.com/canvas/shared/…
2. Qwen

✅ Got the core logic right
✅ Buttons worked as expected

But…

❌ Very basic design
❌ Looked like a “hello world” UI

Functionally fine, visually underwhelming.
3. Kimi

✅ Timer worked with start/pause/reset
✅ Slightly better styling than Qwen

But…
❌ Still generic
❌ No design polish

Solid attempt, but lacked flair.
Results:

🥇 ChatGPT - Professional-grade UI + flawless logic.
🥈 Kimi - Correct + slightly better design than Qwen.
🥉 Qwen - Accurate, but too barebones.

All 3 did the job. Only 1 felt production-ready.
AI coding isn’t just about “does it run?” anymore.

The bar has moved → Does it look good enough to ship?

And that’s where ChatGPT pulled ahead.
10x your prompting skills with my prompt engineering guide

→ Mini-course
→ Free resources
→ Tips & tricks

Grab it while it's free ↓
godofprompt.ai/prompt-enginee…
I hope you've found this thread helpful.

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More from @alex_prompter

Alex Prompter Profile picture
Aug 30
GPT-5 is insanely powerful.

Stop listening to people who say GPT-5 gives you the same boring outputs as every other AI.

I've been using it for 3 weeks and it has automated 90% of my work.

Here are 5 ways I use it daily to automate my boring tasks:
1. Research + summarization

I don’t waste hours skimming reports anymore. gpt-5 turns 50 pages into a 2-minute actionable summary.

Helps me move fast without missing key details.

Prompt I use:

"you are my research assistant. read the following document or url and give me:
1. a 10-sentence executive summary
2. 5 key insights i should act on
3. the top 3 risks or blindspots most people might miss
4. rewrite the insights in simple, no-jargon language i can share with my team "

here you've to add the document link or the document itself (i prefer the file)
2. Content Ideation

Instead of staring at a blank page, I use GPT-5 to generate structured ideas for posts, newsletters, and scripts. What used to take me 2 hours is now a 15-minute draft.

Prompt I use:

"You are a professional ghostwriter. Generate 15 high-signal content ideas on [topic].

For each idea:
- Give me a hook line (<= 15 words, curiosity-driven)
- Outline the structure in 3 parts (hook, point, action)
- Include an example or analogy that will resonate with [audience type]

Make them practical, non-generic, and designed to spark discussion."
Read 8 tweets
Alex Prompter Profile picture
Aug 28
America is quietly entering its 4th major reinvention.

The last 3 times this happened, it triggered 25 years of explosive growth.

We’re at that point again... right now.

Here’s what most people don’t see yet 🧵: Image
1/ Every 80 years, America hits a breaking point.

And from that breakdown, it reinvents everything - tech, economy, politics.

It happened in:
• 1787 (Post-Enlightenment)
• 1865 (Post-Civil War)
• 1945 (Post-WWII)

Each one sparked a 25-year boom. Image
2/ We’re now in the 2025 version.

And 3 tipping points are hitting at once:
• Artificial Intelligence
• Clean Energy
• Bioengineering

They’re not “emerging.”
They’ve arrived - and they’re scaling. Image
Read 12 tweets
Alex Prompter Profile picture
Aug 23
This is wild.

Google just dropped 5 new AI agents that automate data pipelines, migrations, notebooks, dashboards, and even GitHub reviews.

If you’re a developer, this isn’t just another product release it’s the start of autonomous dev tooling.

Here’s the breakdown 👇
1. BigQuery Data Agent

Data engineers spend too much time on plumbing writing ETL scripts, fixing schema issues, checking data quality.

This agent cuts all of that down to prompts.

Describe what you want → it builds the pipelines, maintains data quality, and generates SQL automatically.

No boilerplate. Just insights.Image
2. Notebook Agent (NotebookLM for Enterprise).

Imagine a Jupyter notebook that:

- Runs your exploratory analysis,
- Engineers features,
- Builds models,

Summarizes the results into reports (or even audio).

That’s what this does.

It’s basically an AI-powered research assistant that lives inside your notebooks.Image
Read 10 tweets
Alex Prompter Profile picture
Aug 22
The best marketers don’t “write” copy.

They reverse engineer what’s already working.

And with LLMs, you can do it in minutes.

This is one of the most slept-on uses of AI.

Here’s exactly how I do it → Image
Step 1: Find high-converting copy.

Landing pages you admire

Ads you keep seeing (they’re running for a reason)

Emails you actually read

If it’s everywhere, it’s converting. That’s your goldmine.
(i found this for my project)
Step 2: Feed that copy into an LLM.

But don’t just ask it to “summarize.”

That’s too shallow.

You want it to break the copy down by psychology, persuasion, and structure.

(i copied and took screenshots of the website landing page... and feed the copy to ChatGPT)
Read 9 tweets
Alex Prompter Profile picture
Aug 20
Never use ChatGPT for writing legal documents.

Courts won’t take it seriously.

But LegesGPT? It drafted complaints, motions & notices in minutes better than most lawyers.

Here's how it works:
1. Employment Law - Wrongful Termination

This explained remedies, protections, and deadlines for employees fired after reporting safety violations.
2. Contract Dispute - Delayed Construction

LegesGPT broke down John’s rights under Florida contract law and explained how to fight back against a stalling contractor.
Read 8 tweets
Alex Prompter Profile picture
Aug 18
RIP backlinks.
RIP meta tags.
RIP 10 years of SEO playbooks.

Generative Engine Optimization (GEO) is here.

And it only takes one file: llm.txt

Full setup + strategy: 👇
SEO was for Google.

AIO (AI Optimization) is for Large Language Models.

Right now, LLMs are crawling the web and pulling content into their “knowledge”.

If you don’t guide them, they might ignore you or use outdated info. Image
Why it matters:

• AI search is exploding (ChatGPT Search, Perplexity, Arc Search, etc.)
• Models build answers from web data
• If you’re not optimized, you’ll be invisible in AI responses even if you rank on Google
Read 10 tweets

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