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More from @omarsar0

elvis

@omarsar0

Dec 3

Lindy's Agent Builder is impressive!

It's one of the easiest ways to build powerful AI Agents.

Start with a prompt, iterate on tools, and end up with a working agent in minutes.

It doesn't get any easier than this.

Full walkthrough below with prompts, tips, and use case.

1️⃣ Start with a Prompt

You basically start with a simple prompt of what you want to build.

"Help me build a deep research agent that tracks the latest AI research papers on AI Agents."

That's it. You get your first working agent generated in minutes.

2️⃣ Agent Builder & Prompt Optimization

You can then iterate on your agent using the agent builder. Optimize prompts, add tools, and customize your agent as you see fit.

The agent prompt is optimized for you to fit your use case. That's very useful.

Read 6 tweets

elvis

@omarsar0

Nov 24

This is insane! 🤯

Just built a new skill in Claude Code using Opus 4.5.

The skill uses Gemini 3 Pro (via API) for designing web pages.

Look at what it generated from one simple prompt.

If you have been designing websites with Claude Code, you already know how generic they turn out.

So I built a skill that uses Gemini 3 Pro to lead creative direction and generate designs. It is extremely good at this.

Opus 4.5 then integrates all that into our app.

The prompt I used: "I want to design the landing page for a new AI game. We want it to be futuristic and all that, and use animations as much as possible."

I will test with some other prompts and see how far I can push this. But the results are very exciting already.

Read 6 tweets

elvis

@omarsar0

Nov 23

This is one of the most insane things Nano Banana Pro 🍌 can do.

It can reproduce figures with mind-blowing precision.

No competition in this regard!

Prompt: "Please reproduce this chart in high quality and fidelity and offer annotated labels to better understand it."

When I tried this for the first time, I didn't expect that this was possible.

The level of understanding this requires is what's remarkable about it all.

The levels of personalization this unlocks are also impressive.

"Can you convert it into a cartoonish version?"

Just look at this 🤯

"Can you create a delightful cartoonish version of this table. And please put cute colors and icons along with interesting annotations to make it more readable."

Read 6 tweets

elvis

@omarsar0

Nov 22

It's finally ready for you all to try!

Have fun generating interesting insights from AI papers with Nano Banana Pro 🍌.

(bookmark it)

I find this to be a fun and interesting way to explore with Nano Banana Pro, as I can just select a part of the paper and ask away.

Try remixing figures, reproducing charts, annotating equations, explaining math, and much more.

I am polishing it some more and have other ideas, but let me know if you have feedback in the meantime.

Works better on Desktop.

…dair-ai-181664986325.us-west1.run.app

You can try it by downloading a paper from arXiv or uploading a book or any technical document.

If you don't have a PDF to try, just click on one of the example papers provided:

Read 9 tweets

elvis

@omarsar0

Nov 10

This is a wild use case!

I used Gamma + n8n to automatically generate a complete presentation on AI Agents research.

In just minutes!

It combines web search (for research), GPT-5 (narrative), and Gamma (for slide content generation).

Full workflow breakdown below 👇

1/ THE PROBLEM:

Creating visual content is time-consuming. Research takes hours. Writing requires deep focus. Design demands specialized skills.

What if AI could handle the entire pipeline?

2/ THE SOLUTION:

An n8n workflow that orchestrates Tavily for web research, GPT-5 for storytelling, Gamma for visual generation, and Google Sheets for tracking.

You provide a topic and audience. The system outputs a LinkedIn-ready carousel.

Read 9 tweets

elvis

@omarsar0

Nov 5

Confidence is everything when building great software.

Love how Yansu is approaching this.

Yansu is a new AI coding platform built by @isoformai for serious and complex software development.

It puts scenario simulation before coding.

Here is the sauce:

Yansu means "serious" in Chinese.

It cleverly brings human oversight to AI execution, combining humans in the loop, scenario simulation, and engineering discipline.

This allows builders to build efficiently, confidently, and more production-ready software.