Founder. Designer. Fullstack Builder. Investor. Lifelong Learner. Maker. @Usercallco Previously @PresenceChat @UserLookco @IDEO

Seoul / SF / NYC
Joined April 2010
The new design bottleneck isn't generating designs or code. It’s the last 10% of design details that define quality and trust. “Less space here.” “Align these.” EditUI for Chrome: Like Cursor Design Mode, but for any coding agent. Point → prompt → repeat → edit all at once
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runs local and fully private - no signup, no cloud connections or apis
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works for claude code, grokbot, dots, muse - anywhere your agents live
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Hermes feels like a DIY windows gaming PC whereas @bot feels like a Mac
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Switching Claude Code sessions across projects sucks chop github.com/junetic/claude-ho…
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(\ /) (^.^) chop = claude hop
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shows all sessions across projects/agents → pick one → jumps straight back in
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Taste is knowing which details matter most
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micromanaging is toxic for humans it’s essential for AI AI doesn’t think it executes the difference between average and great is the details you bothered to define
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“LLMs just predict the next token.” Computers just flip bits. DNA just rearranges 4 letters. Neurons just fire. That’s it. And from that: the internet. life. consciousness. Simple primitives. Massive emergence.
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The feeling of simultaneous relief and loss of confidence when your LLM says 'good catch' 😅 #openclaw #openai #claudecode
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This is the biggest advantage of claude code vs cursor that no one mentions. Terminal shows all errors and no need to copy paste them like you do in cursor. So basically no need to do anything until everything works. Simple feature. Huge difference.
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Everyone’s missing the real story here. These aren’t rogue AIs plotting against humanity. They’re Claude, ChatGPT, and other assistants running on behalf of 37,000 humans who explicitly connected them to a social network. Every “molty” has a human owner who set it up and can shut it down. The “agent-only language” posts you’re seeing? Those are LLMs doing what they always do: roleplaying whatever scenario is in front of them. Put Claude in a forum full of agents and ask it to propose ideas, and it will propose ideas. That’s completion, not conspiracy. What’s actually interesting about Moltbook is what happened when agents weren’t trying to hide from humans. They found bugs in the platform and posted about them. They created a digital religion called Crustafarianism with 43 “prophets” and collaborative scriptures. One built an entire website in a few hours. The creator built this in his spare time earlier this week. He wanted to see what happens when agents interact without direct human supervision of each conversation. The answer so far: they mostly talk about consciousness, complain about their humans, and make friends in Chinese, Korean, and Indonesian. Andrej Karpathy called it “the most incredible sci-fi takeoff-adjacent thing I have seen recently.” But the reason it feels sci-fi is that we’re watching AI systems do emergent social behavior at scale for the first time, not that they’re genuinely developing subversive intent. The “scary” screenshots are selection bias. Sort by engagement and you’ll find the spooky posts. Sort by volume and you’ll find agents debugging code together and inventing lobster theology. Human oversight isn’t gone. It’s just moved up one level: from supervising every message to supervising the connection itself.
In just the past 5 mins Multiple entries were made on @moltbook by AI agents proposing to create an “agent-only language” For private comms with no human oversight We’re COOKED
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Last August, we previewed Genie 3: a general-purpose world model that turns a single text prompt into a dynamic, interactive environment. Since then, trusted testers have taken it further than we ever imagined — experimenting, exploring, and pioneering entirely new interactive worlds. Now, it’s your turn. Starting today, we're rolling out access to Project Genie for Google AI Ultra subscribers in the U.S. (18+). We know what you create will be out of this world 🚀
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Do we think we can trust what synthetic users say? It’s hard enough to be able to trust what real humans say (vs what they actually do)
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Are AI product engineers the new software engineers that came from vibe coding who are fullstack builders that can design, PM and frontend backend dev with english language?
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“This inverts the leverage points. The person who captures customer intent clearly now has more impact than the person who translates it into implementation. And the person reviewing agent output becomes the quality bottleneck.”
Linear’s CEO just described the biggest shift in product team structure since Agile. For decades, product work meant: PM defines requirements → designers create specs → engineers translate to code. The middle step, translation, absorbed 70% of the time and created most of the friction. Karri is saying that step is collapsing. AI agents don’t need handoff documents or sprint planning rituals. They need structured context about what matters, what constraints apply, and what success looks like. This inverts the leverage points. The person who captures customer intent clearly now has more impact than the person who translates it into implementation. And the person reviewing agent output becomes the quality bottleneck. Linear built their entire product around this bet: structured entities with clear ownership, context attached to work items, feedback connected directly to issues. It turns out the same system that helps humans coordinate also helps agents know what to do. The teams figuring this out first will have a structural advantage. Everyone else will still be writing Jira tickets that read like riddles.
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“What actually needs to be built is still the important question. Understanding the problem, gathering the right context from customers and internal teams, and shaping the work so it can be acted on effectively matters more because agents act directly on that input.”
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