ByteVision 🚀

Visual effects artist • 3D animator • Generative AI artist • python • hit me up in DMs for collabs ⚡️

[Aiden Frontier @lvlstx]

I Let AI Market Itself.

What could possibly go wrong? 💀

I asked the team agents at @Teamily_AI to plan a launch campaign for Teamily AI itself. I was curious what would happen if I gave the brand strategist, market researcher, and writer the same brief and let them work it out in one group chat.

The brand agent wanted to spend 12 weeks sharing ads the team had rejected. One example was “Teamily AI is the future of AI-powered collaboration. 🚀”

I’d happily watch someone cross that out. But the market research agent spotted the gap in the pitch. I could read the whole series, enjoy the jokes, and still have no idea what Teamily could do for me.

Its suggestion was to let readers bring their own draft. Pick a line from a post you’re about to publish and see what the team does with it. What would the writer change? Which claim would the reviewer challenge? Would you keep your original?

The writer picked that up and dropped the 12-week calendar. I liked the revised pitch because I could immediately think of something I’d use it for. I’ve written plenty of posts where I liked the opening but wasn’t sure I could back it up.

Then I got to see the reviewer do exactly that with Teamily’s own copy. It checked a proposed post against the company’s homepage, spotted conflicting wording, and put the two passages side by side for me before I approved anything.

That’s what sold me on Teamily. Usually, when I want a second opinion from AI, I’m the one copying the draft, explaining what the first chat meant, and carrying the feedback back. Here, Market Research tagged the writer directly. By the time the draft got back to me, I could see whose idea had changed it and decide whether I agreed.

[ByteVision 🚀 @andytynan]

Viktor works like an AI employee. Cue runs errands. Town coordinates your daily work.

Teamily AI is built for teams with shared context in group chat.

Visits breakdown:
Teamily AI: 1.048M
Viktor: 672,025
Town: 429,885
Cue: 110,363

#Teamily_AI

[neural nets. @cneuralnetwork]

@AidenChaoyangHe Good job on the launch. Really proud to see the team doing so well. I have been using it for quite some time and I love it.

[ByteVision 🚀 @andytynan]

Scheduled loops will replace manual re-prompting.
Right now team agents handle recurring jobs in chat.
Agentic Loops keep humans in the review chain.
300+ new Agentic Loops are set up daily in Teamily AI.

No one pastes the same prompt twice.

[Aiden Chaoyang He @AidenChaoyangHe]

32× growth in one quarter: From 10K to 320K customers across 100+ countries, with over 100 million messages processed.

We are not building just another personal AI product. Our long-term vision for Teamily AI is to build the central platform of the next-generation Agentic Internet, where AI agents deliver services and perform real work directly, no longer confined to traditional web, desktop, or mobile apps distributed through app stores and search engines. Our recent growth has only strengthened my conviction in this vision.

Agent-as-a-Service (AaaS) will be as accessible as connecting with friends on a social network. Just as Google democratized access to information and services in the web era, Teamily AI aims to democratize access to intelligence and services in the Agentic Internet era, making the right intelligence, people, and services equally accessible to everyone.

In this letter to Teamily AI customers, ecosystem partners, and investors, we share our growth, reflect on our early foresight and what we've built, discuss how we see the evolving AI agent landscape, and outline where we're heading next.

[RWAPerp.xyz @rwaperp]

RWAPerp just crossed $200M in cumulative trading volume, and we’re still only in beta.

New markets are rolling out, activity is ramping up daily, and liquidity is deeper than ever.

Huge thank you to every trader testing, breaking, and building this with us from day one. We’re just getting started.

[Teamily AI @Teamily_AI]

🚀Teamily AI agents always move fast.

[Matt Cleanroom Times @Japhta_msiza]

Wondering how Sai copes when a legacy Windows app updates its UI layout mid-task. Does it switch from compiled code back to the vision model smoothly? Curious how a #Robosecretary handles that inside a #SaiFleet.

[ByteVision 🚀 @andytynan]

@Teamily_AI https://t.co/TxRVEIH9Jz, works on web, iOS, Android, macOS and Windows

[ByteVision 🚀 @andytynan]

see this inbox screen:
→ not a smarter chatbot, a smarter team
→ context stays shared between everyone
→ built for small businesses and teams

@Teamily_AI shipped a Humans + Agents platform today. could Teamily AI 2.0 run your shop support?

[HertzFlow | Mainnet Arc🎲 @Hertzflow_xyz]

Countdown hits. Pulse spikes. 📈

BNB Chain SG Super Meetup. Oct 7 in Singapore, during Token2049.

Our booth is live. 🔥

🪎 Mystery prizes await. Come find us and WIN! ⏱️

https://t.co/tYUvmAqId0

[Turing Post (Ksenia Se) @TheTuringPost]

Must-read papers of the week

▪️ JEPA-Anything
▪️ Modality-Autoregressive World-Action Models
▪️ In-Context Robot Learning with VLM Agents
▪️ Dream-RSI: Recursive Self-Improvement through Evolving Worlds
▪️ ModularRSI: Modular and Generalizable Recursive Harness Self-Improvement
▪️ DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression
▪️ SoL-Pi: Recursively Scaling Auto-Research Loops for Efficient Agent Harness
▪️ Confidence Comes from Experience: Experiential Confidence Estimation from Reasoning to Agents
▪️ AliceAI-Foundation-80B-A3B-Base (model release)
▪️ Video DeltaNet: A Video-Native Hybrid Attention for Livestream Video Generation
▪️ ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents
▪️ World Modeling in Transformers
▪️ When2Think: Learning Difficulty-Aware Length Control for Efficient Hybrid Reasoning Models

Explore these to keep up with main AI trends. Here’s also the full list of stunning papers + links and our weekly AI news digest: https://t.co/nLpXDQtd7B

[ByteVision 🚀 @andytynan]

That short video preview sums up my review paper backlog. ScienceBuddy helps query PubMed when PhAI Labs tools search literature. #ScienceBuddy advances #AIforScience work.

[42 @42space]

$10,000 every 30 seconds is looking for its owner. It could be you! https://t.co/o9L2x5XrJZ

[Vincent Chok @vchok]

An important step for $FDUSD.

FDUSD/USD, our first direct fiat market, is now live on @HashKeyExchange alongside BTC/FDUSD and ETH/FDUSD.

This expands direct access to FDUSD and its use across major digital asset markets.

[ByteVision 🚀 @andytynan]

you've had 47 conversations about this feature

your agent has had zero

JarvixOS carries what actually happened forward

[CoinChaos @Dezz54210293]

Just got my J-Card from Jarvix @Jarvixdotlive and apparently my AI usage has a personality now. 🙈

A very specific personality.
With evidence.
Love that for me. ❤️ try it ➡️ https://t.co/giqDECzZlc #JarvixOS

[ByteVision 🚀 @andytynan]

Just wrapped up a really complex 3D animation sequence, always satisfying to see those intricate details come together.