tfw when a little skunkworks project starts working and turns into something the team can’t work without. #ClawPilot
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Aparna Chennapragada
758 posts
Aparna Chennapragada
@aparnacd
CPO, Microsoft AIX. Building Agents for Deep Work. Founder, Google Lens. Board@eBay. Past: CPO@Robinhood. VP@Google. Board@Capital One. Eng@Akamai
San Francisco Bay area เข้าร่วม Mart 2008
1.2K กำลังติดตาม13.7K ผู้ติดตาม
@ParthaSundaram @karpathy This is being rolled out for enterprise customers. No easy way to kick the tires as a consumer yet, sorry! Team's looking into ideas like a dummy company/ guest pass.
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Another goodie from the team -- "Council"!
Inspired by @karpathy LLMCouncil, we designed and built this ground up, to work for you in your work context.
This was a labor of love and learning for me personally -- e.g. you can see where the models agree, where each one shines, and most importantly, bringing users the best of all model worlds - a council of experts just one prompt away!
Satya Nadella@satyanadella
New in M365 Copilot: Council. You can run multiple models on the same prompt at the same time, so you can see where they align and diverge, and understand what each adds.
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Excited to introduce Critique, our multi-model deep research system.
This is the industry's first multi-model research capability, that is designed and built for work. Secure. Compliant. Smart as evaluated by public benchmarks.
In life as in work, turns out second opinions matter :)
So proud of the team! We are hard at work bringing the best of all the model brains to work for you at work.
@satyanadella
Satya Nadella@satyanadella
Introducing Critique, a new multi-model deep research system in M365 Copilot. You can use multiple models together to generate optimal responses and reports.
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Today @mirrormirror_ai is launching the marketplace where fashion models license their likeness and brands get stunning AI-generated imagery featuring real people. Commercially licensed, model-approved.
Try our platform: mirrormirrorai.com
As a fashion model I used to spend hours on fashion photoshoot sets. I later did my PhD in CS and became a Research Scientist on AI for fashion. I can see clearly that AI image generation is replacing a large portion of my old job. But brands that use AI recklessly have already paid the price. It damages reputations and hurts the bottom line. Putting real people at the core of AI-generated imagery isn't just about avoiding backlash. It's better business. That's what Mirror Mirror AI is built for.
Right now, Mirror Mirror AI houses agency-signed models who have graced the covers of Vogue and Harper's Bazaar. You can digitally book them using our fashion-centric AI software, get your campaign done in hours instead of weeks, and never have to fly anyone in. You purchase a license for commercial use upon approval, and the models get paid.
Mirror Mirror AI is also opening a global call for independent models from anywhere in the world to apply to be featured on the platform. Work with fashion brands internationally, choose the projects you take on, and earn from your own likeness on your own terms. Selected models will be announced at an exclusive event in New York during @Techweek_ this June.
Apply for the open call: mirrormirrorai.com/open-call
A huge thank you to our incredible team for pouring their hearts into this launch, and to a16z @speedrun for believing in our vision from the start. We're just getting started.
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Today I'm releasing my entire newsletter archive (350+ posts) and all podcast transcripts (300+ episodes) as AI-friendly Markdown files. Plus an MCP server and GitHub repo.
A few months ago I shared my podcast transcripts on a whim, and y'all built the most amazing things—an RPG game, a parenting wisdom site, infographics, a Twitter bot, and 50+ other projects.
Let's see what happens when I give you even more data.
Grab the data here: LennysData.com.
Paid subscribers get all of the data (some 350 posts and 300 transcripts). Free subscribers get a subset.
I don’t think anyone’s ever done anything like this before, and I’m excited to give you this excuse to play with that AI tool you've been meaning to try.
Here’s my challenge to you: build something, and let me know about it. I’ll pick my favorite and give you a free 1-year subscription to the newsletter. Just post a link to your project in the comments here: lennysnewsletter.com/p/how-i-built-….
If you’ve already built something, slurp in this new data and submit it, too. I’ll pick a winner on April 15th.
Check out today's newsletter post for inspiration on what you could to build: lennysnewsletter.com/p/how-i-built-…
LFG.
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CEOs/CTOs: one of the most important lens through which you should pass your decisions right now is “which of the options is more agent-friendly”.
Whether it’s a programming language choice, system architecture path, or product design decision, the more agent-friendly path will win in the long term.
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Open-sourced OpenClaw A365 (alpha) - brings OpenClaw agents into M365 with their own Entra ID identity, a sandboxed Docker runtime, and full observability for IT. @ mention your agent in Teams, Outlook, Word, Excel, PowerPoint.
Blog: blog.somecreativity.com/2026/02/16/giv…
Repo: github.com/SidU/openclaw-…
Demo: youtu.be/7uD2vyfBUUs
YouTube
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Me, reading the nth post about the importance of taste (ridden with emdashes and not just X but Y lines at that):
"Say taste again!"
GIF
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Spot on, from @danshipper
I'd go further. We need a new UX for managing the worker agents period. After all, all agents are coding agents in the limit.
Chat is the CLI for normies.
Chat is THE best interface to talk to AI.
But not the best interface to cowork with AI.
We are tinkering with bringing the best of chat and task product primitives together for our Deep Work agents. Hello world in a couple weeks.
@Wattenberger you have been exploring some fun ideas here!
Dan Shipper 📧@danshipper
this is what my codex chat history looks like. we absolutely need a new UX for coding agent guis a few thoughts: 1. my usual workflow is i have one main chat where im doing all my work for the day and then separate windows for each individual issue / feature. once those are in good shape and reviewed, i send them to my main chat to qa on staging and deploy 2. the "main chat" paradigm is nice because i want one place to have a good idea of "here's everything i need to accomplish today, what's been done, and what hasn't"—but right now it's at the same level of prominence in the UX / priority as every other chat which isn't great. 3. the main chat "orchestrator" should also be able to easily know what's going on in other threads. i need to be able to reference other chats easily and also have each sub thread have some idea of what the others are doing by default (should be able to isolate if i want though) 4. it's pretty wild to be doing your n-th codex run of the day, type what you want, and then have the model be like "okay, let's see what's going on here, ahhh there's a repo, and it has X features..." as if it has no idea what i've been doing that day. seems like a huge waste of time and tokens, we need something better by default.
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2024: you can just do things.
2025: you can just make things that do things.
2026: you can just make things that make things to do things.
Watch this space as we build "agents for deep work"
Charles Lamanna@clamanna
Great to see the excitement around Copilot Cowork today. I have been using it in my own work for the past few weeks, and the best way to understand it is to see it in action. Sharing a short demo from my day to day here.
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Fantastic work by @krishnanrohit
One take away for me: If we want agents to work inside organizations, we’ll need explicit systems and modelling of organizational state with which to boot up the swarms.
rohit@krishnanrohit
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@krishnanrohit @TheStalwart Yes! I have one called MicDropBench. Focused more on stand up comedy type structure eval E.g. set up, call back, punchline etc.
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@TheStalwart We all have one, no? Asking for jokes and testing if it's funny? I do it with every model, including a WodehouseBench.
But to this point cc @aparnacd weren't you saying you had one?
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Today I begin my role as CEO of @Xbox.
Here are my three commitments:
1/ GREAT games
2/ Return of @Xbox
3/ Future of play
blogs.microsoft.com/blog/2026/02/2…
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Aparna Chennapragada รีทวีตแล้ว
Jobs called computers "bicycles for the mind" -- tools we could shape to our will.
But they never were. Until now.
Every morning an agent preps me for my day -- calendar, news, last 24hrs of Slack -- in a personal podcast. I made it by asking. Same for hundreds of other things.
Launching @dreamer in beta today.
That 🧠 bicycle, finally.
dreamer.com
Dreamer@dreamer
Introducing Dreamer. A place to discover, build, and enjoy agentic apps. It’s your home for personal intelligence. Now in beta. Sign up👇
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What’s your Golden Gate Bridge?
I was just thinking of Anthropic’s "Golden Gate Claude" from a year or so ago, which hyper-activated one set of features resulting in skewing every chat response toward Golden Gate Bridge.
And it struck me there is a human parallel. We as people and even companies overfit on a pattern so much it becomes the only lens we use.
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I wrote (and sketched) about it here:
aparnacd.substack.com/p/every-maker-…
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RIP Maker Schedule.
Every Maker is a Manager (of AI).
An HBR article from this week talks about the surprising result of AI intensifying vs lessening work. Checks out with my own experience working with AI coding agents.
The reasons are rooted in human cognition and limits of current AI interfaces.
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