Mete Polat @metedata
A product designer, builder, and inventor with 10+ years of experience in companies like Netflix and Peloton. Sharing learnings and shower thoughts. substack.com/@metedata Problem Space Joined November 2016-
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This is really cool. I’ve been experimenting myself with better feedback layers for agents with stuff like Remarc.app On the other hand, I was just collaborating on a landing page with someone else and asked Claude to add a full in-prototype commenting layer with replies, email notifications, MCP, etc and it did it in a few prompts, fully functional. I’m sure it’s a bit more complex with videos, connectors, full auth, etc but probably still vibe-codable for any team within a few days (MVP, few more weeks to polish as it’s being used). Every large design org is already building their own internal prototype harnesses, I don’t see why they wouldn’t also build their own custom feedback layers.
introducing @inflight the missing feedback layer for prototypes ⇢ works with any agent ⇢ supports pinned comments + video ⇢ turns feedback into next steps for Claude
The review is out: metedata.substack.com/p/chatgpt-dot-…
Dropping the full ChatGPT Dots review tomorrow. I originally intended it as a first impressions post but I developed a pretty comprehensive POV on it as I used it day in and day out for almost 3 weeks now. If you’re wondering if it’s worth upgrading to use it, you’ll find it useful.
X downranks substack links so I have to drop it in replies. Here you go: metedata.substack.com/p/chatgpt-dot-…
My full review of ChatGPT Dots is now LIVE. I've been putting Dot through its paces for the past 3 weeks and have some thoughts... I cover the good, the bad, and the spicy. As always, with lots of actionable advice sprinkled in. And while I write mostly about AI, I write without it (shocker, I know). I put a lot of time, thought, and consideration into it. Your likes & shares are greatly appreciated. That's all for now. Go read it.
@ben_mathes @KelseyTuoc How I imagine him planning the attack
@ElenaRunsNYC I think agent-to-agent coordination will prob be a big thing. And yes, proactive and taking on more and more stuff to the point that we can't imagine doing it ourselves.
Ben Thompson (tech analyst behind Stratechery) argues that most AI assistant marketing is misguided because it doesn't understand that people don't actually want to be more productive - they just want to be entertained. It may not be surprising then that the company likely to succeed in building a mass-market personal agent is the company that has some of the most addictive entertainment products.
Btw my app for converting music links between services is finally out for anyone who has friends or family using different streaming services. Music sharing is an important love language and should have no friction.
@kushmergedeck It's using an external songlink API. Qobuz is not supported so more of a challenge to add.
You can get it here: apps.apple.com/us/app/relinq/… If you want 50% off lifetime sub, use the code RELINQLOVE (limited time)
This hit a nerve for me. I think this is pretty spot on. Design industry in general has an obsession with "having a seat at the table" that draws excessive energy towards influencing vs building. It incentivizes inward-focused political behavior vs outward-directed creativity and building for others. Influence is a function of your value to the team, to the product, and to the business. Technical literacy & fluency are pre-requisites for providing value in cross-functional teams. You can obtain influence with short-term political games and showmanship, but this influence is not durable if it's not backed up by value to the business. doc.cc/articles/craft…
@ElenaRunsNYC Great perspective, thanks for sharing.
How I'm living life knowing I have a full reset available in Claude Code and Codex
@christinaharker Yeah that’s a good point. But even if they’re somewhat close to Opus 5.5 in real-world perceived performance, and they subsidize it in Muse it’s… extremely hard economics to compete with.
If we assume these benchmarks are somewhat representative of real-world performance, Meta just leapfrogged frontier labs on model capability, which they will then heavily subsidize for average consumers. Frontier intelligence & good product sense at scale & ability to subsidize long-term until costs stabilize is a deadly combo. Hard to see how anyone will compete with that.
Introducing Muse Wonder, our new family of frontier models with state of the art performance for personal and professional agentic work.
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