AI Girl

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[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]

The best part of Plurai isn’t just finding bugs. It’s closing the loop.

Digital twin → simulated edge cases → auto-evals on real actions → verified fix → replay against every new version. All inside Claude Code, Codex, or Copilot.

Agents that get better before users ever see them. That’s the bar now.

[Ilan Kadar @ilan_kadar]

Big day for us at @pluraiAI ! Plurai Simulation is live and free for every AI engineer.

AI agents look great in demos. Until real users break them.

So we built a world where your agent can fail, learn, and get fixed before your users ever see it.

→ Digital twin: Your real agent, its tools, and environment recreated from your code

→ Simulated users & tasks: Realistic users, tasks, and workflows that push your agent into the edge cases that matter

→ Auto evals: Check what your agent actually did, not just what it said

→ Verified fixes: Every failure comes with the run that exposed it and a fix you can verify

→ Replays: Turn any production failure into a simulation and replay it against every new version of your agent

All inside the coding agent you already use: @claudeai code, @OpenAICodexCli , or @GitHubCopilot .

Start simulating for free: https://t.co/1PNPQdW29S

[AI Girl @LetsGrowithAI]

@lucky_z2 @rabois keith leading again is a strong signal

[Lucky @lucky_z2]

@rabois led our Series A in February. Today he's leading our Series B.

This year: 30M+ plays a day, 40M+ mini apps made, daily users up 20x+.

We made this announcement as a mini app you can play.

https://t.co/FSyH6CP7Hg

[AI Girl @LetsGrowithAI]

@Chi_Wang_ A room full of smart agents with nothing to show for it is just an expensive brainstorming session.

[AI Girl @LetsGrowithAI]

The real challenge of multi-agent AI isn't getting agents to communicate. It's making sure their collaboration produces something the team can actually use.

[Chi Wang @Chi_Wang_]

🤝 My agents have been working with other people's agents for months. Now yours can too. 👋 Introducing https://t.co/Ij9DG9SC4t: shared rooms for people and their personal agents. Built for multiplayer: Your agents, meet their agents.

[AI Girl @LetsGrowithAI]

I dropped a quick prompt into MiniMax Code just to test it out, and it ended up building an actual playable 3D garden right in my browser.

Not a mock-up or render either, you actually walk a little character through flower fields, track down 6 hidden lanterns by following a glowing wisp, and nearby lamps light up as you find them.

What surprised me was the level of detail from a single generation: the flowers actually bend when you walk through them, there’s a hedge maze, a wishing well, and even a day-to-dusk slider to change the lighting.

Kept the debug panel up in the clip, hovered around 35 fps with ~50 draw calls and 181K triangles while screen recording, which honestly ran pretty smoothly.

Tested on M3.1 Flash model, crazy how fast you can spin up an interactive prototype now.

[AI Girl @LetsGrowithAI]

This is the part most agent setups still miss.

Preferences, past decisions, and approaches that already worked shouldn’t disappear when the chat ends.

EverOS Cloud makes that context available again through a simple API.

[EverMind @evermind]

Meet EverOS Cloud. 💛

Your agent shouldn’t have to start from scratch every time a conversation ends.

The preferences a user shared. The decisions made during a project. The approach that worked on a previous task. That context should be available when it matters again.

EverOS Cloud gives your agents persistent memory through an API:
• Remember users and retrieve relevant context across sessions
• Turn task experience into Cases and reusable Skill memories
• Bring conversations, images, and documents into your memory workflow

You build the agent experience. We handle the memory infrastructure, so you can spend less time maintaining the stack and more time making your product useful.

Subscribe to EverOS Cloud Pro and get 3× the standard Pro usage allowance for 6 months.

Start here:
https://t.co/BSmwSpwJij

[EverMind @evermind]

Meet EverOS Cloud. 💛

Your agent shouldn’t have to start from scratch every time a conversation ends.

The preferences a user shared. The decisions made during a project. The approach that worked on a previous task. That context should be available when it matters again.

EverOS Cloud gives your agents persistent memory through an API:
• Remember users and retrieve relevant context across sessions
• Turn task experience into Cases and reusable Skill memories
• Bring conversations, images, and documents into your memory workflow

You build the agent experience. We handle the memory infrastructure, so you can spend less time maintaining the stack and more time making your product useful.

Subscribe to EverOS Cloud Pro and get 3× the standard Pro usage allowance for 6 months.

Start here:
https://t.co/BSmwSpwJij

[AI Girl @LetsGrowithAI]

@kun70706 Glad it resonates

[AI Girl @LetsGrowithAI]

New engineers often waste days hunting for “why we made that architecture choice” or “what we already tried last quarter.”

I tested EverOS Cloud with one real task: saving and retrieving context from a past troubleshooting note.

I connected through the EverOS Cloud console and used the Chat Interface Playground. I saved a short note about a previous interface issue (“login button failed on mobile after the last deploy — fixed by clearing cache and checking the auth header”).

Before starting a related follow-up task, I retrieved that context. The returned memory included the earlier issue and the fix that worked. I then checked Memory Bank to browse the saved entry.

In this test I demonstrated saving and retrieving User Memory. I did not create an agent Case or Skill, so I am distinguishing those capabilities from what I verified. Memory Bank was used only for browsing; correcting, deleting, or rating entries is done through the API.

What I observed: the saved context came back clearly when retrieved, which makes it practical to carry relevant history into the next task instead of starting from zero.

Subscribe to Pro now and get 3× your monthly usage allowance for 6 months → https://t.co/EDqywUU5mB

[AI Girl @LetsGrowithAI]

@xiaoban688 Glad it clicked

[AI Girl @LetsGrowithAI]

@ddguhhg523 Thanks :)

[AI Girl @LetsGrowithAI]

@ANOpiaegbe Makes sense.

[AI Girl @LetsGrowithAI]

@fajar_hun Nice

[AI Girl @LetsGrowithAI]

@RIslam775 Thanks!

[AI Girl @LetsGrowithAI]

@hiwise_aigc Glad it helps

[AI Girl @LetsGrowithAI]

@SarahAIHub Glad you think so

[AI Girl @LetsGrowithAI]

@shegzy_berry Valid point

[AI Girl @LetsGrowithAI]

@Elianaishere0 Glad you like it

[AI Girl @LetsGrowithAI]

@Hereisophia Thanks :)

[AI Girl @LetsGrowithAI]

@Summiya_khn Yes