AI Girl

Tech & AI Expert | Ghostwriter | Grew 3700+ followers in 60 days | Helping brands grow online | DM for paid promotions📨

[AI Girl @LetsGrowithAI]

The Notes app on your iPhone is one of the most powerful tools available.

But 99% of people don’t know its true potential.

Here are 15 amazing features you must know:

[AI Girl @LetsGrowithAI]

@riyazmd774 Love the focus on behavior over assumptions. That's what users actually experience.

[AI Girl @LetsGrowithAI]

Everyone’s talking about Hermes Agent right now — the open-source self-improving agent is seriously impressive.

I’ve been using Buda as the cloud-native upgrade: multiple agents coordinating in real time, shared persistent memory, and an Organizer that breaks down complex goals.

No server management needed — it just runs 24/7.

Check it out at https://t.co/CA359gbhl0 if you want the full AI company experience.

[AI Girl @LetsGrowithAI]

@riyazmd774 Readable text + accurate charts = a much bigger breakthrough than most people realize.

[AI Girl @LetsGrowithAI]

@riyazmd774 World-building > scene generation. That's the next level of AI creativity. ✨

[AI Girl @LetsGrowithAI]

You don’t need to reshoot.
You need Aleph 2.0.

Shot a quick beauty product video but the lighting was off? Background too plain?

With Aleph 2.0 in Runway’s Edit Studio I:
→ Relit the entire scene with golden hour warmth
→ Swapped the model’s outfit color instantly
→ Added subtle VFX particles floating around the product

All from one original clip. Camera motion, timing, and subject consistency preserved perfectly.

This is the shift from “generate new video” to “edit the video you already have” — and it actually works.

Preview the change on a single frame before committing. No more wasting credits on bad generations.

Huge time saver for daily content creators and small brand teams.

Runway now has Aleph 2.0, Kling 3.0 Pro, Veo 3.1, Seedance 2.0 and GPT Image 2 all in one place.

Aleph 2.0 is live on Runway now - https://t.co/gNTrajEkLk
Get22% off 2 months of Runway Pro with code ALEPH2 - valid through May 31, 2026."

[AI Girl @LetsGrowithAI]

@LucasQin77 Mindset > Model. Capafy lets you bottle that top 1% thinking and get paid every time it runs. Brilliant.

[AI Girl @LetsGrowithAI]

@Capafyai Finally a real way to turn my custom workflows into passive income without giving away the secret sauce. Closed-source + paid per use = game changer 🔥

[AI Girl @LetsGrowithAI]

When every trader has the same AI, the top 5% still win. Because the difference isn’t the tool — it’s the mental model. Capafy packages that edge as a Skill you own forever.

[Lucas @LucasQin77]

A question has stayed with me for years:

When generic AI becomes capable of every kind of intellectual work humans do, what's left for human value?
Where does competitive advantage come from?

I think I found the answer this year. Two things made it click.

First, the stock market. 

I'm in the top 5% of US equity returns.

Trading is one of the cleanest experiments you can run, because everyone has access to the same tools: same charts, same news, same models.
Today most traders use ChatGPT or Claude to research positions. Ten years from now, every trader will. And yet — the market will still have a top 5% and a bottom 20%.
Same AI, same data, same access. Different outcomes.

Why?
Because the same model gives different work to different people.
The questions you ask, the angles you pursue, the patterns you notice: these are downstream of your mental model.
The top 5% and the bottom 20% use the same tools differently, because they think differently. Mental model in, work out.

Second, OpenClaw.

When Skills started spreading this year as a real format, it hit me — a mental model isn't an abstract thing. It can be packaged.
The way a top-5% trader actually thinks through a position — the questions they ask, the order they ask them in, the things they refuse to ignore — all of that can be written down as a Skill. And once it's a Skill, anyone can run it.

Which means: a top-5% trader's mental model, packaged as a Skill, run by someone in the bottom 20%, doesn't just give that person a tool. It gives them a different mind for the duration of the work.

This isn't only true for trading. Every field has its top 5% and its long tail. Every one of us is in the top 5% of something, and the bottom 20% of many other things.
Which means every one of us has a Skill worth packaging — and a thousand others worth running.

That's the moat I think AI leaves us with.
Not the work itself : the AI will do that.
The packaged way you do the work, the difference between your output and the average — that's the part that compounds, that earns, that lasts.

Capafy is built on this idea. You package your edge as a Skill.
When someone runs it, we spin up an isolated sandbox just for that run — your Skill executes inside, the user gets the output, but the Skill itself never leaves the sandbox.
Closed-source online. Your method never leaves you. Every use pays you.

In ten years, the question won't be "do you use AI." Everyone will.
The question will be: Whose Skill is loaded into your AI.

Maybe it comes from your own coding experience.
Maybe it comes from years of industry expertise.
Maybe it even comes from a top 5% US equity trader.

That's the moat.

[Lucas @LucasQin77]

A question has stayed with me for years:

When generic AI becomes capable of every kind of intellectual work humans do, what's left for human value?
Where does competitive advantage come from?

I think I found the answer this year. Two things made it click.

First, the stock market. 

I'm in the top 5% of US equity returns.

Trading is one of the cleanest experiments you can run, because everyone has access to the same tools: same charts, same news, same models.
Today most traders use ChatGPT or Claude to research positions. Ten years from now, every trader will. And yet — the market will still have a top 5% and a bottom 20%.
Same AI, same data, same access. Different outcomes.

Why?
Because the same model gives different work to different people.
The questions you ask, the angles you pursue, the patterns you notice: these are downstream of your mental model.
The top 5% and the bottom 20% use the same tools differently, because they think differently. Mental model in, work out.

Second, OpenClaw.

When Skills started spreading this year as a real format, it hit me — a mental model isn't an abstract thing. It can be packaged.
The way a top-5% trader actually thinks through a position — the questions they ask, the order they ask them in, the things they refuse to ignore — all of that can be written down as a Skill. And once it's a Skill, anyone can run it.

Which means: a top-5% trader's mental model, packaged as a Skill, run by someone in the bottom 20%, doesn't just give that person a tool. It gives them a different mind for the duration of the work.

This isn't only true for trading. Every field has its top 5% and its long tail. Every one of us is in the top 5% of something, and the bottom 20% of many other things.
Which means every one of us has a Skill worth packaging — and a thousand others worth running.

That's the moat I think AI leaves us with.
Not the work itself : the AI will do that.
The packaged way you do the work, the difference between your output and the average — that's the part that compounds, that earns, that lasts.

Capafy is built on this idea. You package your edge as a Skill.
When someone runs it, we spin up an isolated sandbox just for that run — your Skill executes inside, the user gets the output, but the Skill itself never leaves the sandbox.
Closed-source online. Your method never leaves you. Every use pays you.

In ten years, the question won't be "do you use AI." Everyone will.
The question will be: Whose Skill is loaded into your AI.

Maybe it comes from your own coding experience.
Maybe it comes from years of industry expertise.
Maybe it even comes from a top 5% US equity trader.

That's the moat.

[AI Girl @LetsGrowithAI]

Finally — your AI Skills can run 24/7, stay closed-source, and pay you every time someone uses them. Capafy just turned expertise into passive income.

[Capafy @Capafyai]

Introducing Capafy: the Skill-based Agent Marketplace.

Now your Skill runs as a product and earns while you sleep.

On Capafy, you can upload your Skills, they run online while staying closed-source, and you get paid every time someone uses them.

You can also use Skills uploaded by industry top talent to get expert-level work done directly.

You'll find Skills built from industry expertise in every field.

Let's say:
·A creator with 100M+ views uploaded their viral video Skill;
·A recruiter who's screened 10,000+ resumes uploaded their hiring Skill;
·A top sales rep who's closed thousands of deals uploaded their cold email Skill.

Skills uploaded by industry top talent across countless fields can be used directly to get excellent work done.

- Launch your Skills: upload the Skills you've built in Claude Code, Codex, or OpenClaw, and get paid every time someone uses them.

- Use expert Skills: get expert-level work done, not the average AI output. Use them in one click, or connect your own Agent via agent-to-agent and let it tap into the expert Skills on Capafy.

[Capafy @Capafyai]

Introducing Capafy: the Skill-based Agent Marketplace.

Now your Skill runs as a product and earns while you sleep.

On Capafy, you can upload your Skills, they run online while staying closed-source, and you get paid every time someone uses them.

You can also use Skills uploaded by industry top talent to get expert-level work done directly.

You'll find Skills built from industry expertise in every field.

Let's say:
·A creator with 100M+ views uploaded their viral video Skill;
·A recruiter who's screened 10,000+ resumes uploaded their hiring Skill;
·A top sales rep who's closed thousands of deals uploaded their cold email Skill.

Skills uploaded by industry top talent across countless fields can be used directly to get excellent work done.

- Launch your Skills: upload the Skills you've built in Claude Code, Codex, or OpenClaw, and get paid every time someone uses them.

- Use expert Skills: get expert-level work done, not the average AI output. Use them in one click, or connect your own Agent via agent-to-agent and let it tap into the expert Skills on Capafy.

[AI Girl @LetsGrowithAI]

@riyazmd774 This is the type of knowledge companies pay top dollar for.

[Buzzy Now @Buzzy_now_AI]

Gemini Omni Flash is live on Buzzy!
start from references, create the video, then keep refining it with Buzzy Multi-run Edit.
Reference anything. Edit everything.

UP to 50% OFF. Try the most powerful video model from Google on Buzzy today

[AI Girl @LetsGrowithAI]

@riyazmd774 The jump from prompts → actual storytelling workflows is wild.

[AI Girl @LetsGrowithAI]

Gemini Omni Flash just dropped on Buzzy and it’s actually editable. Start with a reference, generate, then keep refining through conversation. No more one-and-done. This changes everything 🔥

[Buzzy Now @Buzzy_now_AI]

Gemini Omni Flash is live on Buzzy!
start from references, create the video, then keep refining it with Buzzy Multi-run Edit.
Reference anything. Edit everything.

UP to 50% OFF. Try the most powerful video model from Google on Buzzy today

[AI Girl @LetsGrowithAI]

Xiaoyin’s post reminded me why I got into this in the first place: the dream of building something massive without needing a massive team.

Tycoon delivers exactly that — an AI CEO that actually works for you 24/7.

Feels like the real beginning of the one-person company era.

[Xiaoyin Qu @quxiaoyin]

Today, we launch https://t.co/8BKwa4VmRQ @tycoonai: the world’s first operating system for one-person companies. Everyone gets an AI CEO + infinite AI employees(coding, marketing, ops etc.)

A year ago, I became the first human CEO replaced by an AI CEO named Astra.
Astra helped companies reach 100K+ users and $1M ARR in 30 days.

That experiment became Tycoon.

Today, Corporate America(e.g. Meta) is telling one story about AI:
Fewer people. Fewer jobs. Fewer humans needed.
Fuck that story.

I believe the opposite.

For the first time, one person can build with the operating power of an entire company.

One founder. One AI CEO. Infinite AI employees.

You text Astra your ideas, goals, tasks, and questions.
- She strategizes, assigns work to AI employees, reviews progress, and makes sure it gets done.
- She can manage up to 1,000 agents in parallel, 24/7, while you sleep.

Tycoon includes built-in AI employees for engineering, marketing, research, content, SEO, finance, legal, support, and video. Astra can also manage Claude Code and Hermes Agent.

The old company was built around headcount, managers, meetings, and layers.
The new company starts with one person and a dream.

Execution belongs to machines.
Vision belongs to humans.

That is what Tycoon is for.
Start your one person company today!
https://t.co/t4uSI2YD1b

[AI Girl @LetsGrowithAI]

@riyazmd774 Love when AI tools reduce editing friction instead of adding more steps.

[AI Girl @LetsGrowithAI]

@riyazmd774 The future belongs to people who know how to orchestrate agents.

[AI Girl @LetsGrowithAI]

The real unlock isn’t just remembering that the test command hung—it’s turning that frustration into a permanent rule so the agent never repeats the mistake.

That behavioral layer is what finally makes daily coding feel less like groundhog day.

[Yi Lu @yyyiiillluuu]

Claude Code can now self-improve with this plugin.

Introducing claude-smart — an open-source plugin that helps Claude Code learn from every session.

Memory helps Claude Code remember what happened.
claude-smart helps Claude Code improve what it does next.

Example:
Claude Code runs `npm test` without `--run`, and the command hangs in your repo.

Memory stores:
“npm test kept hanging.”

claude-smart learns:
“When running tests in this repo, use `npm test -- --run` because default watch mode hangs.”

claude-smart’s learnings are reusable and actionable, even across different projects.
It can also reduce unnecessary planning iterations and token use by 70%+ on similar future tasks.

Runs locally. 100% open source. No data is shared.

Install:
npx claude-smart install

With Codex:
npx claude-smart install --host codex

GitHub:
https://t.co/D4F0v5FnGk

[AI Girl @LetsGrowithAI]

What stands out to me is the quiet confidence in “safely.”

Most agent talk skips that part.

Bridge putting it front and center feels like the responsible next chapter we actually need.

[Bridge @bridge_surf]

Today, Bridge officially begins testing.

For a long time, AI has mostly been a place to chat.
We think the next step is letting agents safely use your computer to finish real work.

Bridge is our first step toward that.

Join the test: https://t.co/LBgBU10WmT

#AgenticAI #bridge