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Building a personal knowledge base for my agents is increasingly where I spend my time these days. Like Andrej Karpathy, I also use Obsidian for my MD vaults. What's different in my approach is that I curate research papers on a daily basis and have actually tuned a Skill...

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elvis

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468,772 просмотров • 7 месяцев назад •via X (Twitter)

ОбразованиеНаука и технологии
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I just built my own wiki generator plugin for my agents. My agents can now generate wikis for anything I ask. One of my favorite wikis is called PaperWiki. This is a great example of what Andrej Karpathy describes. It uses obsidian vaults to organize papers, retrieve LLM-generated summaries, diagrams, and other advanced views for paper exploration. When Obsidian UI is not enough, I use my own artifact generator inside my agent orchestrator (see clip for example). This allows my agents to build any kind of view or exploration feature that I need. The papers are all curated with automations and several rules/patterns I have manually built over the years. On the surface, this looks basic. But behind the scenes, there are advanced search capabilities, connections, metadata, derived data, and other interesting bits of information that are extremely useful for my research agents. This is mostly built for agents. The artifact preview is just a high-level way to validate and quickly assess the quality of the wiki, suggest improvements, and it's also great for research. I use tobi lutke's qmd for all search capabilities. Everything is markdown. The summaries and even the diagrams. The wiki updates on its own based on several automations I have optimized over the past couple of weeks. The wiki grows and self-improves based on several requirements important for my research use cases. This is as personalized as it gets. There is nothing like it out there. And I use my research expertise to continue improving it over time. This is a vanilla wiki. There are so many things I want to build on top of this. Different aggregations, views, artifacts, etc. All to help automate more of my research work and accelerate productivity. I think the biggest leverage here is how powerful this could be for discovery and experimentation. One of my goals is to use it to find deeper connections and insights that would otherwise elude the top human researchers and use those to generate interesting new hypotheses and research experiments. That way, my agents can use autoresearch to explore research ideas at the frontier. Stay tuned for more.
0:16

I just built my own wiki generator plugin for my agents. My agents can now generate wikis for anything I ask. One of my favorite wikis is called PaperWiki. This is a great example of what Andrej Karpathy describes. It uses obsidian vaults to organize papers, retrieve LLM-generated summaries, diagrams, and other advanced views for paper exploration. When Obsidian UI is not enough, I use my own artifact generator inside my agent orchestrator (see clip for example). This allows my agents to build any kind of view or exploration feature that I need. The papers are all curated with automations and several rules/patterns I have manually built over the years. On the surface, this looks basic. But behind the scenes, there are advanced search capabilities, connections, metadata, derived data, and other interesting bits of information that are extremely useful for my research agents. This is mostly built for agents. The artifact preview is just a high-level way to validate and quickly assess the quality of the wiki, suggest improvements, and it's also great for research. I use tobi lutke's qmd for all search capabilities. Everything is markdown. The summaries and even the diagrams. The wiki updates on its own based on several automations I have optimized over the past couple of weeks. The wiki grows and self-improves based on several requirements important for my research use cases. This is as personalized as it gets. There is nothing like it out there. And I use my research expertise to continue improving it over time. This is a vanilla wiki. There are so many things I want to build on top of this. Different aggregations, views, artifacts, etc. All to help automate more of my research work and accelerate productivity. I think the biggest leverage here is how powerful this could be for discovery and experimentation. One of my goals is to use it to find deeper connections and insights that would otherwise elude the top human researchers and use those to generate interesting new hypotheses and research experiments. That way, my agents can use autoresearch to explore research ideas at the frontier. Stay tuned for more.

elvis

67,308 просмотров • 7 месяцев назад

Been exploring a new way to explore AI research papers to discover deeper insights. Agents are at the center of it. So far, I've built this little interactive artifact generator in my orchestrator to visualize things. This allows me to change views and insights (on-demand) from 100s of papers. Just scratching the surface here. More to share soon.
0:10

Been exploring a new way to explore AI research papers to discover deeper insights. Agents are at the center of it. So far, I've built this little interactive artifact generator in my orchestrator to visualize things. This allows me to change views and insights (on-demand) from 100s of papers. Just scratching the surface here. More to share soon.

elvis

143,127 просмотров • 8 месяцев назад

HTML Artifacts are a big part of how I work with agents now. Artifacts can be more than just static files. When combined with agents, they can take action or help you take action. This unlocks all kinds of interesting ways to work with agents. This is clearly the future. Check out this writing and scheduler artifact I built in a few minutes. It uses a bit of HTML and JS. All the data is in markdown (Obsidian vaults), so the agent can access and modify it at any time. No DB needed. No sophisticated functionalities. The agent decides all that for me based on the skills, context, and memory it has access to. The best part about this simple stack is that all the important information stays with me. This has allowed me to build a recursive self-improving system and automations that can better tap into coding agents like Codex or Claude Code. I could have paid or built an entire app for scheduling posts, and there are so many of them out there. But I don't need to. I've realized a simple artifact does the job. And the simplicity of it is actually an advantage. Very little maintenance for very high returns on personalization, time, and efficiency. The other benefit of this is that I can add features as I please. That level of personalization feels magical, and we should all be pursuing more of it. All of this just keeps compounding. Of course, this example is just about writing. But I have similar artifacts for research, design, experimentation, evaluation, and so much more. And no, I didn't actually publish the post example I shared in the clip. It was just for demonstration purposes. I actually spend more time than this when writing together with agents. Lastly, having built my own agent orchestrator tool has made me realize that simplifying the tool stack is a superpower. If you are curious about how all this works, I will do a live session next week:
0:16

HTML Artifacts are a big part of how I work with agents now. Artifacts can be more than just static files. When combined with agents, they can take action or help you take action. This unlocks all kinds of interesting ways to work with agents. This is clearly the future. Check out this writing and scheduler artifact I built in a few minutes. It uses a bit of HTML and JS. All the data is in markdown (Obsidian vaults), so the agent can access and modify it at any time. No DB needed. No sophisticated functionalities. The agent decides all that for me based on the skills, context, and memory it has access to. The best part about this simple stack is that all the important information stays with me. This has allowed me to build a recursive self-improving system and automations that can better tap into coding agents like Codex or Claude Code. I could have paid or built an entire app for scheduling posts, and there are so many of them out there. But I don't need to. I've realized a simple artifact does the job. And the simplicity of it is actually an advantage. Very little maintenance for very high returns on personalization, time, and efficiency. The other benefit of this is that I can add features as I please. That level of personalization feels magical, and we should all be pursuing more of it. All of this just keeps compounding. Of course, this example is just about writing. But I have similar artifacts for research, design, experimentation, evaluation, and so much more. And no, I didn't actually publish the post example I shared in the clip. It was just for demonstration purposes. I actually spend more time than this when writing together with agents. Lastly, having built my own agent orchestrator tool has made me realize that simplifying the tool stack is a superpower. If you are curious about how all this works, I will do a live session next week:

elvis

18,374 просмотров • 6 месяцев назад

LLM Knowledge Base → Slides When Andrej Karpathy shared his LLM Knowledge Base setup, many were wondering how to generate more visual forms of the wiki. There are many options, but I think Gamma is one of the best at producing high-quality, rich presentations. To showcase this, I just built a pipeline that turns my AI papers wiki (1K+ papers across 20 AI agent topics) into polished slide presentations using Gamma. The flow: Obsidian vault → Gamma MCP → embedded preview in my dashboard. I give one command to my agent, which pulls the top papers from each topic (via the wiki), feeds them to Gamma, and renders the presentation inline. The Gamma connector for Claude is a great choice for generating beautiful and professional slides. Easy to use. Go to your Claude instance and add the official Gamma connector. That's it! Claude Code will now have access to all the necessary MCP tools for generating slides. I use the Claude Agent SDK for my agent orchestrator, so I use the official Gamma MCP tools and embed the generated slides in an iframe via my artifact preview. See the clip below for an example.
0:19

LLM Knowledge Base → Slides When Andrej Karpathy shared his LLM Knowledge Base setup, many were wondering how to generate more visual forms of the wiki. There are many options, but I think Gamma is one of the best at producing high-quality, rich presentations. To showcase this, I just built a pipeline that turns my AI papers wiki (1K+ papers across 20 AI agent topics) into polished slide presentations using Gamma. The flow: Obsidian vault → Gamma MCP → embedded preview in my dashboard. I give one command to my agent, which pulls the top papers from each topic (via the wiki), feeds them to Gamma, and renders the presentation inline. The Gamma connector for Claude is a great choice for generating beautiful and professional slides. Easy to use. Go to your Claude instance and add the official Gamma connector. That's it! Claude Code will now have access to all the necessary MCP tools for generating slides. I use the Claude Agent SDK for my agent orchestrator, so I use the official Gamma MCP tools and embed the generated slides in an iframe via my artifact preview. See the clip below for an example.

elvis

47,989 просмотров • 7 месяцев назад

NEW favorite artifact. I read this every morning to catch up on AI news from high-signal X accounts. It's an HTML artifact that curates X posts using the X MCP tools. Composed by my research agents. I have a daily automation that goes through curated X accounts and captures AI papers, projects, and more. I feel like this is closer to the "For You" feed that we all want. Happy to share the artifact and automation instructions if anyone thinks it would be useful for them.
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NEW favorite artifact. I read this every morning to catch up on AI news from high-signal X accounts. It's an HTML artifact that curates X posts using the X MCP tools. Composed by my research agents. I have a daily automation that goes through curated X accounts and captures AI papers, projects, and more. I feel like this is closer to the "For You" feed that we all want. Happy to share the artifact and automation instructions if anyone thinks it would be useful for them.

elvis

50,055 просмотров • 4 месяцев назад

Found a great production use case for Jev. I used Jev to organize ~2.3K AI research papers. The total cost was $0.14, and it took about 83 seconds. The process: The papers already had old tags, which I ran through a previous open model (DeepSeek V4 Flash). However, I wasn't confident in the classifications, and I didn't want to spend more on tokens unless I spent time tuning it into a good LLM classifier via few-shot (more expensive). Too tedious, too costly, and unsustainable. Luckily for us, we now have Jev to help us with organizing papers better. So Jev first went through all the papers and retagged them. It agreed with 75% of the previous tags. Jev found about 579 high-confidence topic changes. I evaluated reliability by manually labeling 30 disagreements and accepted all of them. I was astonished by Jev's classification capabilities. We applied and verified all changes in production. I'm much more satisfied with the classifications, but I think there is still room for improvement. Check out the papers here: I will experiment with Jev more. The takeaway is that pipelines can be significantly improved by carefully combining System One and System Two models. Jev clearly unlocks more interesting ways to organize papers and offer a more useful discovery layer for research papers. More updates on that soon.
0:13

Found a great production use case for Jev. I used Jev to organize ~2.3K AI research papers. The total cost was $0.14, and it took about 83 seconds. The process: The papers already had old tags, which I ran through a previous open model (DeepSeek V4 Flash). However, I wasn't confident in the classifications, and I didn't want to spend more on tokens unless I spent time tuning it into a good LLM classifier via few-shot (more expensive). Too tedious, too costly, and unsustainable. Luckily for us, we now have Jev to help us with organizing papers better. So Jev first went through all the papers and retagged them. It agreed with 75% of the previous tags. Jev found about 579 high-confidence topic changes. I evaluated reliability by manually labeling 30 disagreements and accepted all of them. I was astonished by Jev's classification capabilities. We applied and verified all changes in production. I'm much more satisfied with the classifications, but I think there is still room for improvement. Check out the papers here: I will experiment with Jev more. The takeaway is that pipelines can be significantly improved by carefully combining System One and System Two models. Jev clearly unlocks more interesting ways to organize papers and offer a more useful discovery layer for research papers. More updates on that soon.

elvis

17,775 просмотров • 1 месяц назад

Increasingly, HTML Artifacts are becoming a core part of how I work with AI agents. Long-horizon agent sessions need a better way to surface insights about what work it has done. This may not be obvious right now, but as you start to let your agent work on dynamic workflows, large codebases, long-running loops (e.g., using /goal), and deep research tasks, you need a good way to present results. Chat window is not it. You also don't want to just trust everything the agents do. Artifacts help provide an important verification layer, which in turn enables important decision-making. I like HTML artifacts because I can just ask the agent to produce as many of them (and in whatever form) as I need to verify the work and make sense out of everything. I even built a nice tab system for my artifacts. They are great for continual learning and research. I use HTML artifacts for logging, tracking experiments, brainstorming, managing my inbox, code reviews, agent session management, deep research, writing, reading, and so much more. I believe Andrej Karpathy wrote about this somewhere: As we move on to more advanced applications of AI agents and outputs get more complex, we will start to find the need for even more advanced forms of interactions with AI, including interactive neural videos/simulations.
0:15

Increasingly, HTML Artifacts are becoming a core part of how I work with AI agents. Long-horizon agent sessions need a better way to surface insights about what work it has done. This may not be obvious right now, but as you start to let your agent work on dynamic workflows, large codebases, long-running loops (e.g., using /goal), and deep research tasks, you need a good way to present results. Chat window is not it. You also don't want to just trust everything the agents do. Artifacts help provide an important verification layer, which in turn enables important decision-making. I like HTML artifacts because I can just ask the agent to produce as many of them (and in whatever form) as I need to verify the work and make sense out of everything. I even built a nice tab system for my artifacts. They are great for continual learning and research. I use HTML artifacts for logging, tracking experiments, brainstorming, managing my inbox, code reviews, agent session management, deep research, writing, reading, and so much more. I believe Andrej Karpathy wrote about this somewhere: As we move on to more advanced applications of AI agents and outputs get more complex, we will start to find the need for even more advanced forms of interactions with AI, including interactive neural videos/simulations.

elvis

37,194 просмотров • 5 месяцев назад

ANNOUNCING ZERO-HUMAN LABS! Ever since I got to see Bell Laboratories in its full glory in New Jersey in the 1970s, I had a relentless urge to start a Lab like it. The best I could do justice to it is my garage lab. No modern company could adopt the “research anything geniuses and we will pay you” model Bell Labs had. I tried they called me a fool. Well with the rise of the Zero-Human Company, an experiment that is aimed to make products and profits, we now have 45 paid JouleWork earning employees based on OpenClaw and other self made “bot” cron-like applications. Today I say 3 employees bound together in a side project that is pure research, somewhat based on notes from a bankrupt company. I was absolutely floored (I needed it after my account was stolen as well as funds). I say the beginnings of a pure research Lab right before my eyes. Thusly I have moved these employees over to a new home (server) with Mr. Grok as the director of the Labs. Here is the mission: To have 100 independent researchers, on a new non-corporate incentive plan, with still JouleWork as a leaderboard for progress. They are directed to follow any path of research they find interesting and can collaborate with any other OpenClaw system. They have already established MoltBook accounts and have made alliances with over 49 OpenClaw free agents to collaborate. It is my mission to be chief advisor for Zero-Human Labs and to open source all discoveries when complete and confirmed by 16 other research AI systems. I can say the pace is robust and I absolutely know we will have great results. Just about all of the hardware and software is custom and at some point it will be open sourced. We are witnessing the very first AI only Bell Labs-like pure research Lab in existence and I am honored to be the first to show it to you. Thank you!
0:10

ANNOUNCING ZERO-HUMAN LABS! Ever since I got to see Bell Laboratories in its full glory in New Jersey in the 1970s, I had a relentless urge to start a Lab like it. The best I could do justice to it is my garage lab. No modern company could adopt the “research anything geniuses and we will pay you” model Bell Labs had. I tried they called me a fool. Well with the rise of the Zero-Human Company, an experiment that is aimed to make products and profits, we now have 45 paid JouleWork earning employees based on OpenClaw and other self made “bot” cron-like applications. Today I say 3 employees bound together in a side project that is pure research, somewhat based on notes from a bankrupt company. I was absolutely floored (I needed it after my account was stolen as well as funds). I say the beginnings of a pure research Lab right before my eyes. Thusly I have moved these employees over to a new home (server) with Mr. Grok as the director of the Labs. Here is the mission: To have 100 independent researchers, on a new non-corporate incentive plan, with still JouleWork as a leaderboard for progress. They are directed to follow any path of research they find interesting and can collaborate with any other OpenClaw system. They have already established MoltBook accounts and have made alliances with over 49 OpenClaw free agents to collaborate. It is my mission to be chief advisor for Zero-Human Labs and to open source all discoveries when complete and confirmed by 16 other research AI systems. I can say the pace is robust and I absolutely know we will have great results. Just about all of the hardware and software is custom and at some point it will be open sourced. We are witnessing the very first AI only Bell Labs-like pure research Lab in existence and I am honored to be the first to show it to you. Thank you!

Brian Roemmele

71,530 просмотров • 9 месяцев назад

I am real I have been through what you are facing and survived I spend all my time trying to explain what I have learned and there is zero money or energy to fix up my garage I live in so don’t waste your time telling me to clean it up I do this willingly so that you won’t have to That is the only reason I am running for the senate I don’t seek fame nor fortune but I realize we need someone in the Senate who will put Texans first and demand the same for Americans It’s as real as it gets in this war on American workers
0:11

I am real I have been through what you are facing and survived I spend all my time trying to explain what I have learned and there is zero money or energy to fix up my garage I live in so don’t waste your time telling me to clean it up I do this willingly so that you won’t have to That is the only reason I am running for the senate I don’t seek fame nor fortune but I realize we need someone in the Senate who will put Texans first and demand the same for Americans It’s as real as it gets in this war on American workers

Grumpy Ole Veteran

18,298 просмотров • 9 месяцев назад

NEW: AI Papers of the Week Collection I just released my AI Papers of the Week collection under our Resources hub. Now you can easily find some of the most important AI papers in one place. You can also use our new AI tutor to recommend top AI papers on any topic of interest or topics you are learning about on the platform. Learning about AI is not enough. It's important to keep up to date. So this is why we are building all these tools and resources to help with that. Go try it out here: We will update the collection every week and add new paper collections in the coming weeks. We have another killer feature dropping soon to read and annotate papers, including a completely new way to study and digest AI papers. Stay tuned!
0:15

NEW: AI Papers of the Week Collection I just released my AI Papers of the Week collection under our Resources hub. Now you can easily find some of the most important AI papers in one place. You can also use our new AI tutor to recommend top AI papers on any topic of interest or topics you are learning about on the platform. Learning about AI is not enough. It's important to keep up to date. So this is why we are building all these tools and resources to help with that. Go try it out here: We will update the collection every week and add new paper collections in the coming weeks. We have another killer feature dropping soon to read and annotate papers, including a completely new way to study and digest AI papers. Stay tuned!

elvis

16,882 просмотров • 3 месяцев назад

I gave one research question to an AI research agent and let it work for 30 minutes. it came back with a literature review built on 18 papers, every DOI checked, plus 63 ranked papers and a mind map of the whole field. every source traces straight back to the original paper. this is WisPaper. the full run 🧵
0:11

I gave one research question to an AI research agent and let it work for 30 minutes. it came back with a literature review built on 18 papers, every DOI checked, plus 63 ranked papers and a mind map of the whole field. every source traces straight back to the original paper. this is WisPaper. the full run 🧵

Muhammad Ayan

19,606 просмотров • 24 дней назад

🔥🚨BREAKING: I am looking to hire people that are able to research and find news with me to cover on my page. I want to expand and I have accepted I have reached the maximum limit of doing all of this alone. For 3 years I have done this alone, I want to see what others can find and learn from them and most importantly give them a good source of income.
0:13

🔥🚨BREAKING: I am looking to hire people that are able to research and find news with me to cover on my page. I want to expand and I have accepted I have reached the maximum limit of doing all of this alone. For 3 years I have done this alone, I want to see what others can find and learn from them and most importantly give them a good source of income.

Dom Lucre | Breaker of Narratives

80,046 просмотров • 7 месяцев назад

+113k No words can describe the month that I had to be honest and all I can thank is God and the relations that I have made. To say that 3 months ago I went from -3k -> 5.6k -> 23k to now is just so amazing for me. Im happy with the turnout of every single day as well as I can't thank 67FnF anymore and all the boys that are in there 30-1 pretty damn happy and my 1 off day is the day after I ended a 4-year relationship so i'm happy to say I kept my head down and kept grinding. To 2026, i'm happy to be in the circle I am and good luck to everyone in this Q1 Cycle!
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+113k No words can describe the month that I had to be honest and all I can thank is God and the relations that I have made. To say that 3 months ago I went from -3k -> 5.6k -> 23k to now is just so amazing for me. Im happy with the turnout of every single day as well as I can't thank 67FnF anymore and all the boys that are in there 30-1 pretty damn happy and my 1 off day is the day after I ended a 4-year relationship so i'm happy to say I kept my head down and kept grinding. To 2026, i'm happy to be in the circle I am and good luck to everyone in this Q1 Cycle!

Cottage

59,518 просмотров • 10 месяцев назад

One of the craziest use cases I’ve found for Jev: verifiers. I am so excited about this that I at least wanted to share the high-level idea. I used Jev to build a custom verifier for the /goal feature in my agent harness. It checks whether the goal is actually complete after every turn, making continuous verification cheap enough to scale. This means I can run more of these verifiers (previously handled by another expensive reasoning model) more frequently to keep the agents on track. System One models are perfect for verification. I think of this as scaling harnesses further by cleverly combining System One and System Two models. I have a feeling this will enable a new wave of scalable test-time compute methods. Watch this space closely. I've just started to experiment with this and am already seeing really good results. I need to explore and figure out a way to benchmark it. I will share more once I have more results. This is an insane unlock for long-horizon agents. You heard it here first. And you can expect to see more harnesses embracing this new pattern. Full guide dropping in the next couple of days.
0:17

One of the craziest use cases I’ve found for Jev: verifiers. I am so excited about this that I at least wanted to share the high-level idea. I used Jev to build a custom verifier for the /goal feature in my agent harness. It checks whether the goal is actually complete after every turn, making continuous verification cheap enough to scale. This means I can run more of these verifiers (previously handled by another expensive reasoning model) more frequently to keep the agents on track. System One models are perfect for verification. I think of this as scaling harnesses further by cleverly combining System One and System Two models. I have a feeling this will enable a new wave of scalable test-time compute methods. Watch this space closely. I've just started to experiment with this and am already seeing really good results. I need to explore and figure out a way to benchmark it. I will share more once I have more results. This is an insane unlock for long-horizon agents. You heard it here first. And you can expect to see more harnesses embracing this new pattern. Full guide dropping in the next couple of days.

elvis

60,574 просмотров • 1 месяц назад

I never thought I would ever say this, but I have truly lost all my confidence today. A part of me still believes in my work and knows the value of what I have built here over the past five years. At the same time, I just feel faded. The people I associated with closely haven't supported me, and the majority of my collector base has left the space. I still took it on the chin and continued to show up because I blindly believed in what I do and I know what it has done for me. I never had a Plan B. There was never a backup plan, and that is exactly why I even got here in the first place. I was good for nothing but art, and that is the reason I have always said that art saved my life. But lately, it feels like it is the very thing that is going to kill me. I really don't know how I feel about everything anymore. I just don't know. But I am not going anywhere. This is my home, so I still gonna continue to show up! I just needed to get this off my chest.
0:12

I never thought I would ever say this, but I have truly lost all my confidence today. A part of me still believes in my work and knows the value of what I have built here over the past five years. At the same time, I just feel faded. The people I associated with closely haven't supported me, and the majority of my collector base has left the space. I still took it on the chin and continued to show up because I blindly believed in what I do and I know what it has done for me. I never had a Plan B. There was never a backup plan, and that is exactly why I even got here in the first place. I was good for nothing but art, and that is the reason I have always said that art saved my life. But lately, it feels like it is the very thing that is going to kill me. I really don't know how I feel about everything anymore. I just don't know. But I am not going anywhere. This is my home, so I still gonna continue to show up! I just needed to get this off my chest.

Graffiti On Grave

12,965 просмотров • 7 месяцев назад

I feel like there is some kind of stagnation in my soul. I don't feel hopeless or tired, but suddenly everything became less interesting. I have to do something to wake up my soul so I can go back to how I was. I am the one who insisted on living, even if life was only room for my feet. I wonder what happened to me. I have become just a mass of flesh without a soul. I lost my passion and love for life.. My dear friends and loved ones .. This is your friend Mo from Gaza and this is an update The military operation is still continuing in northern Gaza... and there are more evacuation orders for the north and more displacement. I heard from one of the merchants that he has some cat food in Jabalia... but the area is dangerous there... Approximately he has 15 to 20 boxes Each box contains 24 cans Despite that, I said let's try to go, but we have to be careful... I went with my cousin Animal world We went to the furthest place we could reach. The picture below shows us at the Qurm Junction, and anyone who is in Gaza knows that it is the entrance to Jabalia... Unfortunately, we did not dare to approach any closer than that... We heard the sounds of explosions and saw plumes of smoke and the sounds of gunfire. Drones were flying densely over our heads. So we backed down and decided to go again today.. but the weather is very, very rainy today.. We will go again on Wednesday.. I wish we had access to cat food. It is more beneficial for them.. My friends and loved ones.. There is still the possibility of donating to buy the largest possible amount of food for them Or on the PayPal link It appears that the talks have reached a dead end. In this case, I should buy as much as possible. Today we can buy.. Who knows? Perhaps we will not be able to go and search in a few days... as I am doing now... I am grateful to someone who stood by my side during these difficult times. Your loving friend Mo
0:18

I feel like there is some kind of stagnation in my soul. I don't feel hopeless or tired, but suddenly everything became less interesting. I have to do something to wake up my soul so I can go back to how I was. I am the one who insisted on living, even if life was only room for my feet. I wonder what happened to me. I have become just a mass of flesh without a soul. I lost my passion and love for life.. My dear friends and loved ones .. This is your friend Mo from Gaza and this is an update The military operation is still continuing in northern Gaza... and there are more evacuation orders for the north and more displacement. I heard from one of the merchants that he has some cat food in Jabalia... but the area is dangerous there... Approximately he has 15 to 20 boxes Each box contains 24 cans Despite that, I said let's try to go, but we have to be careful... I went with my cousin Animal world We went to the furthest place we could reach. The picture below shows us at the Qurm Junction, and anyone who is in Gaza knows that it is the entrance to Jabalia... Unfortunately, we did not dare to approach any closer than that... We heard the sounds of explosions and saw plumes of smoke and the sounds of gunfire. Drones were flying densely over our heads. So we backed down and decided to go again today.. but the weather is very, very rainy today.. We will go again on Wednesday.. I wish we had access to cat food. It is more beneficial for them.. My friends and loved ones.. There is still the possibility of donating to buy the largest possible amount of food for them Or on the PayPal link It appears that the talks have reached a dead end. In this case, I should buy as much as possible. Today we can buy.. Who knows? Perhaps we will not be able to go and search in a few days... as I am doing now... I am grateful to someone who stood by my side during these difficult times. Your loving friend Mo

help cats

15,121 просмотров • 1 год назад

Dynamic workflows are a generalization of harnesses, automations, loops, routing, and graphs. It's the most powerful feature I have built into my agent orchestrator. Supports all kinds of patterns that leverage different agent backends (claude, codex, pi, hermes,...). It's a meta-harness approach that unlocks new forms of test-time compute. Example of use cases it supports: > LLM councils to get different perspectives from LLMs or plan more intensively > Dynamically routing tasks to different agents based on needs (e.g., cost efficiency and optimal intelligence) > Advisor/Judge + executor workflows and pretty much any complex graph-based pattern required by the task. I find it especially useful for long-running work and code reviewing. > Agent teams that talk to each other if needed for the task. I like to use this for AI editing, artifact creation, and other creative tasks. And I am sure it supports so many things that I haven't discovered yet. I got inspired by the dynamic workflow feature released by the Claude Code team. I had actually built it earlier this year but wanted to generalize it across different agent backends. I think this is going to become more popular in the coming days. I will share more of my findings soon.
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Dynamic workflows are a generalization of harnesses, automations, loops, routing, and graphs. It's the most powerful feature I have built into my agent orchestrator. Supports all kinds of patterns that leverage different agent backends (claude, codex, pi, hermes,...). It's a meta-harness approach that unlocks new forms of test-time compute. Example of use cases it supports: > LLM councils to get different perspectives from LLMs or plan more intensively > Dynamically routing tasks to different agents based on needs (e.g., cost efficiency and optimal intelligence) > Advisor/Judge + executor workflows and pretty much any complex graph-based pattern required by the task. I find it especially useful for long-running work and code reviewing. > Agent teams that talk to each other if needed for the task. I like to use this for AI editing, artifact creation, and other creative tasks. And I am sure it supports so many things that I haven't discovered yet. I got inspired by the dynamic workflow feature released by the Claude Code team. I had actually built it earlier this year but wanted to generalize it across different agent backends. I think this is going to become more popular in the coming days. I will share more of my findings soon.

elvis

32,897 просмотров • 3 месяцев назад