Joined April 2026
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Apr 10

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Jun 11
x.com/JqOnly/status/20650831… We need more deterministic gate for agent loop
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Jun 11
This year, several major companies are going public in the US. OpenAI, Anthropic, SpaceX and Discord They all appear to be companies that will absorb a massive amount of liquidity. How will this impact the AI bubble?
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Jun 11
How is AI changing our world? Can it solve all our problems with just a single "click"? Perhaps the AI bubble will burst after this companies go public. when that time comes, only the services that use AI to generate actual revenue and solve real-world problems will survive.
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Jun 11
An era is coming where domain knowledge and specialized expertise will become increasingly crucial. We will need the kind of knowledge that can be heavily leveraged when utilizing AI. Unlearning must be backed by learning
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JQ Lee retweeted
Jun 7
Ouroboros v0.41.0 Release Run it anywhere, and trust what it ships 1. Pi is now a first-class Ouroboros runtime (Finally!!) 2. Ouroboros has always opened with a single questioner. Now that questioner has a panel. Milestone lateral review is promoted from a non-blocking advisory to a required lightweight subagent pass at exactly the moments hidden assumptions start to bite. 3. The more autonomous the loop, the more its "done" has to mean done. This release makes the verifier's decision typed, auditable, and policy-routed (I believe this looks like real Agent OS) github.com/Q00/ouroboros/rel…
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Jun 7
Right now, the most important goal is extracting human tacit knowledge into AI and enabling it to approach the human goal as the Ideal. Otherwise, agent will pursue shadow in Plato’s cave. We cannot be satisfied if the sentence in ⁠/goal "sentence"⁠ is ambiguous.
Anyone looking at self improving agent loops needs to be familiar with ouroboros Amazing stuff from @JqOnly It uses a multi-phase evolutionary loop with a philosophical approach at its core. It’s meant to not loop forever but until it converges or detects stagnation. Pragmatic
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Jun 7
Making contracts to let agents follow them in AgentOS
Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore. You should be designing loops that prompt your agents.
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Jun 7
Ouroboros v0.41.0 Release Run it anywhere, and trust what it ships 1. Pi is now a first-class Ouroboros runtime (Finally!!) 2. Ouroboros has always opened with a single questioner. Now that questioner has a panel. Milestone lateral review is promoted from a non-blocking advisory to a required lightweight subagent pass at exactly the moments hidden assumptions start to bite. 3. The more autonomous the loop, the more its "done" has to mean done. This release makes the verifier's decision typed, auditable, and policy-routed (I believe this looks like real Agent OS) github.com/Q00/ouroboros/rel…
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Jun 7
And I ran Ouroboros on the Roach Pi from @dev_roach . and it works!
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Jun 3
Ouroboros v0.40.0 is out. github.com/Q00/ouroboros/rel… This release is not about chasing another flashy agent feature. It is about making agent behavior more deterministic, controllable, and actually delegatable. I’ve been working on this through harness engineering based on the 4C stack framework(Context, Contract, Control, Confidence). The goal is to make agents move inside a system that understands constraints, sequencing, checks, and stopping conditions, instead of relying on the model to “probably figure it out.” The biggest improvement in this version is `ooo auto`. It is now much more stable and is designed to keep moving without falling into BLOCKED states. For me, this is important because autonomy without reliability just becomes another thing the human has to babysit. I’m also expanding the ecosystem around the Ouroboros runtime: Ourocode — a CLI tool built on Ouroboros github.com/Q00/ourocode Ouroboros Plugins — plugins for domain-specific edge cases and more general problems github.com/Q00/ouroboros-plu… As the ecosystem grows, I keep coming back to one question: How do I let agents execute more work without letting them erase the direction of the project? Recently, an agent tried to fix a bug in a way that looked technically plausible, but was directionally wrong. That was a good reminder. Agents can execute. But they should not overwrite the builder’s intent, taste, and principles. There’s a point @simonkim_nft from Hashed made in this YouTube video that stuck with me: What remains for humans is self-directed intent and unique taste. youtube.com/watch?v=Wx0C42-S… That idea is very close to how I think about Ouroboros. I want to delegate execution to agents while preserving my own intent and taste. The image attached here shows how Ouroboros builds and checks sequencing graphs to make sure the system is still following the direction I care about. There is no silver bullet that works for everyone. And if everything becomes filled with plausible LLM-shaped answers, we do not get a silver bullet. We lose direction. Ouroboros v0.40.0 is a release where I tried to put a line in the sand: delegate execution to agents, but preserve the human intention behind the system.
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Jun 1
I won a prize at OBA Weekendthon hosted by @hashed_official After Ralphthon, I was lucky to win again. But the thing I’m more excited about is what I built: App-to-App MCP. Apps should not just be endpoints. Apps should become callers and callees.
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Small apps should be able to build their own workflows. Apps should not disappear into assistants. Apps should become callers and callees. I think the next mobile OS may not start as a home screen. It may start as a public call graph.
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Jun 1
I made a small deck here: wpti.dev/meshkit If you are thinking about agent wallets, mobile agents, app-to-app workflows, stablecoin rails, or a new mobile OS layer, I would love to chat. Apps should not disappear into assistants. They should become callers and callees.

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