design, AI, web dev, data viz, tools for thought ✨ @shv, previously R&D @GitHubNext, design @AdeptAILabs

🍃 Oakland
Amelia Wattenberger 🪷 retweeted
diagrams, diagrams, diagrams. know what your agents are planning to cook and how before spending the tokens.
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Amelia Wattenberger 🪷 retweeted
can Jev! help organize my workspaces for me?
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Amelia Wattenberger 🪷 retweeted
new in Intent: - math rendering in chat & notes - retry on different AI if hit usage limits - concurrent note edits - browser tabs in agent header - editing, layout, and reliability refinements
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get yourself an agent harness that cares about diagrams. I'm sick of reading walls of text!
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this is miles better than the models have done previously I've been trying this "redo these charts with this style" every few months
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am I the only one who wants to know what my agents changed?
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fun to see live confidence in different statements as the agents work!
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Amelia Wattenberger 🪷 retweeted
1/ It’s time to share more about what we’ve been working on: @common_fabric is a social computing lab building a medium for software that revolves around people, not apps. commonfabric.com
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how I imagine life as a scientist
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playing with a lil dock to keep track of my agent friends 👀
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Amelia Wattenberger 🪷 retweeted
as AI agents tackle more work, we assign more work to them. OpenAI pointed 10,000 concurrent agents at a Millennium Prize. that's lots of agents. how do you keep them all on task? here's a breakdown of all the things we do in Intent... 1/6
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Amelia Wattenberger 🪷 retweeted
agents beget more agents. more agents beget even more agents. the latest Intent update makes it manageable: - coordinates multiple agents for each task - isolates multiple tasks into workspaces - runs workspaces of multiple devices
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okay I love this, but it's missing the entire 👉 point 👈 of the original video
This is GPT-6 Astra. Anything you can do on a computer, Astra can do for you. Fast.
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Amelia Wattenberger 🪷 retweeted
the tool i have been using for multi-agent orchestration to build products since january is now open source: intentapp.dev. being able to use any coding harness and model, even local models, but never constrained to one is a super power.
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