AI Is Now a Team Sport
And why your team is about to get a whole lot weirder.
AI is officially a team sport. The days of treating your AI like a private oracle are numbered.
Your AI Teammate Is No Longer a Solo Act
ChatGPT's new Group Chats feature signals the end of the personal assistant era and the beginning of collaborative AI.
ChatGPT can now be invited into your group chats. This isn't just about adding a bot for trivia; you can bring multiple specialist AIs and your human colleagues into a single, shared conversation. It’s designed to be a collaborative workspace for brainstorming, planning, and real-time problem-solving without constantly copy-pasting from a separate window.
This signals a fundamental shift in how we interact with AI. We're moving past the one-on-one, assistant-in-a-box model towards a future where AI is an active, persistent participant in our workflows. It’s no longer just a tool you consult, but a teammate you collaborate with. This has the potential to massively accelerate creative and technical work, but also introduces a new layer of complexity: managing synthetic personalities.
Startups and creative teams should pay close attention. An AI that can draft marketing copy while another AI simultaneously reviews it for legal compliance, all within the main team chat, is a huge productivity lever. This isn't just a new feature; it's the beginning of AI becoming a core, embedded part of the team.
The Co-pilot Gets an Upgrade
Your AI co-pilot is getting a lot smarter and more integrated into your daily tasks.
SIMA 2: Google's new AI plays games it's never seen before
Google's new agent can understand complex instructions and succeed in games it has never been trained on. This is a big step towards AI that can operate in and genuinely understand complex 3D environments, with huge implications for both gaming and robotics.
Scraib.app: Your Mac's instant rewrite shortcut
This Mac-native tool rewrites and improves any text on your computer with a simple keyboard shortcut. It’s a frictionless way to elevate your writing without breaking your workflow by copy-pasting into a separate app.
MyLens AI: Turns long YouTube videos into clickable timelines
Drop any YouTube link and this tool generates an interactive timeline of key moments. It's designed to make video content digestible, letting you skip the noise and get straight to the important parts.
Smarter Tools, Fewer Headaches
Meanwhile, a new wave of tools is solving tangible problems with a focus on privacy and practicality.
SourcePilot: An AI writing tool that runs entirely offline
This AI writing tool runs entirely on your local machine, meaning your data never gets sent to the cloud. It’s a necessary response to growing privacy concerns, giving users full control over sensitive information.
AirShare: The cross-platform AirDrop you've been waiting for
Finally, an AirDrop equivalent that works across all platforms, from Android to Windows. It uses a peer-to-peer connection for fast, private file sharing without needing accounts or cloud storage, solving a long-standing frustration.
PaywallPro: Pinterest for app monetisation strategies
Get access to a searchable library of over 46,000 iOS app paywalls to analyse your competitors' monetisation strategies. It turns paywall design from a guessing game into a data-driven science for developers.
Quick hits
Audity: The 30-minute AI audit for agencies
This tool promises to turn a six-hour client AI audit into a 30-minute meeting, generating ROI reports to help agencies close deals faster.
WhereUAt: Temporary location sharing for casual meetups
Stop wondering if your friends are actually on their way with temporary, privacy-first location sharing that self-destructs after the meetup.
Email Buttons: Stop sending boring text links in your emails
Finally, a way to build custom CTA buttons and QR codes directly within Gmail to make your emails more clickable without needing a developer.
My takeaway
The era of the solo AI practitioner is over.
We are rapidly moving from a command-and-response model to a continuous, multi-agent dialogue. This makes AI less of a magical oracle and more of a persistent, opinionated teammate. The real challenge is shifting from getting the right answer to managing a team of human and synthetic intelligences.
This forces us to develop new skills in facilitation and synthesis, not just prompt engineering. It also raises uncomfortable questions about intellectual property and final authority in a group setting. The lines of contribution are about to get incredibly blurry.
How do you manage a brainstorming session when half the team has no ego and access to all of humanity's knowledge?
Drop me a reply. Till next time, this is Louis, and you are reading Louis.log().