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Ana Sayfaya Dön

Doing Executor's YC launch today! Executor is your tool gateway - it gives you one place to sign in to all of the services you use and then every agent adopt (Hermes, Codex, OpenClaw, etc) carry over the same signed in accounts, permissions, etc Executor gets a ton right... show more

Rhys

61,775 subscribers

59,036 görüntüleme • 2 ay önce •via X (Twitter)

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36 Yorum

Y Combinator profil fotoğrafı

Y Combinator2 ay önce

congrats on the launch, Rhys!

Mario Zechner profil fotoğrafı

Mario Zechner2 ay önce

very very cool

Shaunak Srivastava profil fotoğrafı

Shaunak Srivastava2 ay önce

congrats!

Nour Zahzah profil fotoğrafı

Nour Zahzah2 ay önce

@ycombinator Congrats!

Tunezjr profil fotoğrafı

Tunezjr2 ay önce

S26 congrats man

Kiriti Badam profil fotoğrafı

Kiriti Badam2 ay önce

Nice. How is this different from @composio ?

trash profil fotoğrafı

trash2 ay önce

@dakdevs 🙏🙏

rodzinka profil fotoğrafı

rodzinka2 ay önce

congrats on the launch @RhysSullivan , didnt know about a multi-acc gmail part, super damn helpful. my noob use-case of executor was to literally just have 1 place for all connectors, so it becomes the only tool i ever add to any agent

Moritz profil fotoğrafı

Moritz2 ay önce

@RhysSullivan so damn happy for you! And also nice how executor is progressing. 🫶✨

Kush profil fotoğrafı

Kush2 ay önce

executor is a default primitive for us. congrats!

James Bork profil fotoğrafı

James Bork2 ay önce

legend

Ola profil fotoğrafı

Ola2 ay önce

Will be trying Executor today! Thank you Rhys

Nick Khami profil fotoğrafı

Nick Khami2 ay önce

i like the new 2 sentence

Peter Morelli profil fotoğrafı

Peter Morelli2 ay önce

do they share one credential per connection, or can you also have per user credentials? eg linear.

Rhys profil fotoğrafı

Rhys2 ay önce

supports credentials per user

Yasser profil fotoğrafı

Yasser2 ay önce

Congrats!

Caspian 東澔 profil fotoğrafı

Caspian 東澔2 ay önce

congrats!

Utkarsh profil fotoğrafı

Utkarsh2 ay önce

Congrats! "it gives you one place to sign in to all of the services you use and then every agent adopt (Hermes, Codex, OpenClaw, etc) carry over the same signed in accounts, permissions, etc" You should this line more to describe Executor. It explains Executor really well

proudparrot2 profil fotoğrafı

proudparrot22 ay önce

@ycombinator chatgpt integration when?

Zachary Meyer profil fotoğrafı

Zachary Meyer2 ay önce

executor has been great! trying to adopt it internally.

Mitko profil fotoğrafı

Mitko2 ay önce

This is amazing, especially for all these apps that don’t have a good API service. I’m wondering how long they’re gonna resist that though… it’s obvious for my own app that I don’t need to make my own agent. I just need to make a well documented API and user journey so that agent can just use it by provisioning an API key. API + skill seems to work really really really well

Amanda profil fotoğrafı

Amanda2 ay önce

Congrats!

Pres Mihaylov profil fotoğrafı

Pres Mihaylov2 ay önce

nice congrats, gl with the launch

Nick DeJesus 🛒🎉 - Former Unpaid CTO @BTPipeline profil fotoğrafı

Nick DeJesus 🛒🎉 - Former Unpaid CTO @BTPipeline2 ay önce

Congrats on the launch!

Trash Panda 🦝 profil fotoğrafı

Trash Panda 🦝2 ay önce

Congrats bro!

Pietro profil fotoğrafı

Pietro2 ay önce

congrats!

Tyler Rivera profil fotoğrafı

Tyler Rivera2 ay önce

Congrats, Rhys. executor has become a integral part of my workflow. Appreciate what you've cooked up here.

Utpal Nadiger profil fotoğrafı

Utpal Nadiger2 ay önce

Congrats dude!

Yahia Bakour profil fotoğrafı

Yahia Bakour2 ay önce

omg how did i miss this LET'S GOOOOOOOOOOO!

haruka profil fotoğrafı

haruka2 ay önce

Nice stuff, hoping to integrate this first class with a project I’m working on. Side note, I can’t figure out where your accent is from! Something between British and American?

Nicolás Baquero profil fotoğrafı

Nicolás Baquero2 ay önce

Congrats on the launch 👏🏻

Tom Zarebczan 🛡 profil fotoğrafı

Tom Zarebczan 🛡2 ay önce

Congrats and good luck! Wait til you see what I came up with for browser support 😉

lakshmi 👩🏻‍💻☕️ profil fotoğrafı

lakshmi 👩🏻‍💻☕️2 ay önce

yay congrats on the launch!!

TommyZ profil fotoğrafı

TommyZ2 ay önce

Can it also help with too many skills in a big monorepo? we are looking for a solution as to how to scale, was wondering if we can leverage it as well

Carson Bliss profil fotoğrafı

Carson Bliss2 ay önce

Congrats on the launch. We love deploying Executor to our customers

Tom in Tampa profil fotoğrafı

Tom in Tampa2 ay önce

Will it conflict with Hermes using tools via Nous portal?

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i hate the way tool calling works today, so i built a fix for it its called `executor` and it lets your agent run code to call any API / MCP / GraphQL server rather than installing CLIs this is a soft launch, you can try it with npm i -g executor but im still making it great

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I'm now building Executor full time as a startup! The state of tool calling is a mess: - Everyone is using different agents - You have no idea what actions are going to run - Destructive actions are treated the same as normal Executor lets you set up everything once & use it with any agent. You're able to control what tools can be called, require approval on destructive actions, and invite your team to all use them. Under the hood, it's built on codemode to let you add thousands of tools with 0 context bloat. I've been using it for a month so far and it has completely changed how I interact with agents. There's so much to be built here, immediately next up on the roadmap is workspaces, skills, workflows, and generative ui. Everything is being built open source over at there's a lot more coming on an SDK to embed it into your own agents, a self hostable cloud app, and plugins There's an early beta version over at It's very early on - if you hit any bugs let me know and I'll get them fixed up, excited to share more as I build it!

I'm now building Executor full time as a startup! The state of tool calling is a mess: - Everyone is using different agents - You have no idea what actions are going to run - Destructive actions are treated the same as normal Executor lets you set up everything once & use it with any agent. You're able to control what tools can be called, require approval on destructive actions, and invite your team to all use them. Under the hood, it's built on codemode to let you add thousands of tools with 0 context bloat. I've been using it for a month so far and it has completely changed how I interact with agents. There's so much to be built here, immediately next up on the roadmap is workspaces, skills, workflows, and generative ui. Everything is being built open source over at there's a lot more coming on an SDK to embed it into your own agents, a self hostable cloud app, and plugins There's an early beta version over at It's very early on - if you hit any bugs let me know and I'll get them fixed up, excited to share more as I build it!

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Copilot Tasks is seriously good?! Even one of the best alternative to Claude Cowork Using a single prompt it was able to: → Use a cloud browser to find the right tool → Interact with the page to enter data → Interpret all the info given by the page → Generate a PowerPoint based on it → Draft an email containing the learnings Because it has access in real time to multiple Microsoft Office apps like Word, PowerPoint, Excel, etc. but also Outlook. Everything was seamless. First try. And you can even ask it to schedule this task (or another one) to run it every Friday, once a month, you name it. As with OpenClaw, the use cases are basically infinite.

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154,511 görüntüleme • 6 ay önce

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teej

565,622 görüntüleme • 9 gün önce

This is why you want an execution layer share your tools, auth and approvals across all agents you use Check out me adding the Axiom MCP server, authing to it, and calling it from Claude Code and OpenCode in under a minute - all locally on my computer `npm i -g executor`

This is why you want an execution layer share your tools, auth and approvals across all agents you use Check out me adding the Axiom MCP server, authing to it, and calling it from Claude Code and OpenCode in under a minute - all locally on my computer `npm i -g executor`

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30,020 görüntüleme • 7 ay önce

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40,877 görüntüleme • 6 ay önce

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Veee

284,240 görüntüleme • 9 gün önce

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You can spin up an AI workforce with one prompt. Here's why it works: it pulls the context the AI needs to lay the foundation. Give it: - your role - team size - the goals you want to hit. Then say "interview me." After that, build it out in four steps: 1) Start with 1 agent. - What does it feel like to work with one? 2) Make that agent proactive. - Now it's doing things on your behalf before you ask. 3) Expand to 2 agents. - One directs the other, or routes to it. - This is where you learn how context gets passed. 4) Scale the workforce. - A mission control where you watch it all move around. - Now you see what has to run in parallel, which agent never needed that tool, which one runs fine on a smaller model. - Not everything needs Opus. Sub-agents are haiku and sonnet. The catch: the prompt gets you agents with markdown files doing some stuff. Getting to the 90% plus level is iteration, and that part is specific to each person. Nobody can hand it to you. Start with one agent. Spin up one agent this week. The rest is discovery.

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joshpuckett

82,659 görüntüleme • 9 ay önce

Spark is starting to become real. A self-evolving intelligence, beyond a persistent memory, with multiple ways it learns and evolves Calibrate the intelligence while building, talking to it, sharing the things you love as content, UI, art, etc., While it learns constantly learns about the tools you use: Their strengths, shortcomings, and how to better use everything in its arsenal, as well as doing the same with the specialized agents and teams it orchestrates. In a few days, it gathered 30000 memories and 500+ insights, and continued to calibrate itself with me, which will speed up how we can vibe code the next projects by Spark doing at evolved understandings. Super excited to see how it evolves and can't wait to bring it to everyone. Already integrated it with many IDEs and LLMs. It also works on your local machine. As this conversation was recorded with Ollama qwen 2.5 running on my PC.

Spark is starting to become real. A self-evolving intelligence, beyond a persistent memory, with multiple ways it learns and evolves Calibrate the intelligence while building, talking to it, sharing the things you love as content, UI, art, etc., While it learns constantly learns about the tools you use: Their strengths, shortcomings, and how to better use everything in its arsenal, as well as doing the same with the specialized agents and teams it orchestrates. In a few days, it gathered 30000 memories and 500+ insights, and continued to calibrate itself with me, which will speed up how we can vibe code the next projects by Spark doing at evolved understandings. Super excited to see how it evolves and can't wait to bring it to everyone. Already integrated it with many IDEs and LLMs. It also works on your local machine. As this conversation was recorded with Ollama qwen 2.5 running on my PC.

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244,721 görüntüleme • 8 ay önce

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THIS GUY BUILT A COMMAND CENTER FOR MANAGING AI AGENT TEAMS he was running 20+ agents through openclaw. all from terminal tabs and Discord. 12 tabs open. still losing track of who's doing what. which cron failed. so he built a dashboard that gives you one place to see everything: > org map showing the full agent hierarchy, who reports to who and what tools each agent has > chat with any agent through a real UI instead of bouncing between terminals > kanban board for tracking tasks across all agents > cron monitor with pipeline visualizations so you can see which jobs are failing > memory browser to read through all agent knowledge files in one place you can even point it at your openclaw workspace and it auto-discovers every agent from their config files. zero setup. AND ITS OPEN SOURCE TOO.

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47,207 görüntüleme • 6 ay önce

how to use Bot Screen in Hermes Agent: your bot gets its own desktop, and you step in when it hits a login. on the Linux machine that runs your Hermes gateway: 1. install the screen: `hermes computer-use screen install` 2. make the bot's browser show on it: `hermes config set browser.headed true` 3. in Hermes Desktop: Bots, right-click your bot, Open Screen, then Start 4. ask it to open a login page in its browser and stop at the sign-in 5. when it stops, click Take over and sign in 6. click Hand back and tell it to continue the bot keeps that login for later sessions, until the site expires it.

how to use Bot Screen in Hermes Agent: your bot gets its own desktop, and you step in when it hits a login. on the Linux machine that runs your Hermes gateway: 1. install the screen: `hermes computer-use screen install` 2. make the bot's browser show on it: `hermes config set browser.headed true` 3. in Hermes Desktop: Bots, right-click your bot, Open Screen, then Start 4. ask it to open a login page in its browser and stop at the sign-in 5. when it stops, click Take over and sign in 6. click Hand back and tell it to continue the bot keeps that login for later sessions, until the site expires it.

witcheer

56,107 görüntüleme • 8 gün önce

AI AGENTS 101 (58 minute free masterclass) send this to anyone who wants to understand ai agents, claude skills, md files, how to get the most out of AI etc in plain english: 1. chat vs agents - chat models answer questions in a back and forth while agents take a goal, figure out the steps, and deliver a result 2. agents don’t stop after one response. they keep running until the task is actually finishedno babysitting required 3. everything runs on a loop. they gather context, decide what to do, take an action, then repeat until done 4. the loop is the system. they look at files, tools, and the internet. decide the next step. execute and then feed that back into the next step. over and over until completion 5. the model is just one piece. gpt, claude, gemini are the reasoning layer. the key is model + loop + tools + context 6. mcp is how agents use tools. it connects things like browser, code, apis, and your internal software. once connected, the agent decides when to use them to get the job done 7. context beats prompt all day. you don't need to write perfect prompts. load your agent with context about your business, style, and goals and then simple instructions work 8. claude.md or agents.md is the onboarding doc it tells the agent who it is, how to behave, what it knows, and what tools it can use. this gets loaded every time before it starts 9. memory.md is how it improves. agents don’t remember by default. this file stores preferences, corrections, and patterns you tell the agent to update it, and it gets better over time 10. skills + harnesses make it usable. skills are reusable tasks like writing, research, analysis the harness is the environment like claude code or openclaw that runs everything. basiclaly, different interfaces, same system underneath this episode with remy on The Startup Ideas Podcast (SIP) 🧃 was one of the clearest ways of understanding a lot of the core concepts of ai agents could be the best beginners course for ai agents 58 mins. all free. no advertisers. i just want to see you build cool stuff. im rooting for you. send to a friend watch

AI AGENTS 101 (58 minute free masterclass) send this to anyone who wants to understand ai agents, claude skills, md files, how to get the most out of AI etc in plain english: 1. chat vs agents - chat models answer questions in a back and forth while agents take a goal, figure out the steps, and deliver a result 2. agents don’t stop after one response. they keep running until the task is actually finishedno babysitting required 3. everything runs on a loop. they gather context, decide what to do, take an action, then repeat until done 4. the loop is the system. they look at files, tools, and the internet. decide the next step. execute and then feed that back into the next step. over and over until completion 5. the model is just one piece. gpt, claude, gemini are the reasoning layer. the key is model + loop + tools + context 6. mcp is how agents use tools. it connects things like browser, code, apis, and your internal software. once connected, the agent decides when to use them to get the job done 7. context beats prompt all day. you don't need to write perfect prompts. load your agent with context about your business, style, and goals and then simple instructions work 8. claude.md or agents.md is the onboarding doc it tells the agent who it is, how to behave, what it knows, and what tools it can use. this gets loaded every time before it starts 9. memory.md is how it improves. agents don’t remember by default. this file stores preferences, corrections, and patterns you tell the agent to update it, and it gets better over time 10. skills + harnesses make it usable. skills are reusable tasks like writing, research, analysis the harness is the environment like claude code or openclaw that runs everything. basiclaly, different interfaces, same system underneath this episode with remy on The Startup Ideas Podcast (SIP) 🧃 was one of the clearest ways of understanding a lot of the core concepts of ai agents could be the best beginners course for ai agents 58 mins. all free. no advertisers. i just want to see you build cool stuff. im rooting for you. send to a friend watch

GREG ISENBERG

377,833 görüntüleme • 6 ay önce

OpenClaw has 186K GitHub stars and 1.5M compromised API keys. I needed a secure alternative. So, I built it with n8n and Claude Opus 4.6. It can already: - Reply to your Telegram messages - Access selected folders from your laptop - Access Gmail, Drive, Notion, Linear, etc. - Install new local tools in a sandbox - Run autonomously for hours - Create multiple subagents - Learn from experience - Wake up regularly But, unlike OpenClaw, it: - Can't access your API keys - Can't modify its environment - Can't access folders you haven't shared - Can't access tools you haven't approved - Must get your confirmation, e.g., when sending emails These aren’t prompt instructions. They’re hard architectural boundaries — Docker isolation, mounted folder permissions, n8n’s tool approval system. Key components: ✅ The VPS on Hostinger hosts n8n and a sandbox container. Agents can also connect to my laptop's sandbox via a Claudeflare tunnel + Desktop Commander MCP. ✅ The Manager agent is the brain. It plans, decides, delegates, and talks to the user. It never touches files. It never runs scripts. It works entirely from executor summaries. ✅ The Executor agents are the hands. Each receives a task (what to do + why it matters), decides how to execute it, and reports back. They can install new tools and execute code only in their dedicated sandboxes. ✅ Data Tables in n8n store both memories and sessions — no external database, no vector store, no infrastructure. Just rows in a table. Turns out, that's enough. Two memory types: - Manager memory: user preferences, facts, corrections, relationship, skills, context - Executor memory: what tools are installed, what’s broken, workarounds ✅ Sessions are short-term state for multi-step tasks. Original request, plan, assumptions, and what happened so far. When the Manager loops with fresh context, the session is all it gets. That's a Ralph Wiggum loop. I've been using it for 5 days. And already can't imagine not having it on my phone. What's next: - Heartbeat via Cron (a scheduled prompt) - Civic Nexus governance + MCPs - Supermemory integration - WhatsApp as an additional surface - Hardening The architecture supports all of it. OpenClaw proved people want personal AI agents. It also proved that 'just trust the prompt' isn't a security model. Docker isolation, mounted folder permissions, tool approval — none of this is new technology. It's just discipline. You can easily do this even with n8n — no coding required. --- Want to try it or read more? More, what I learned, and a setup guide: productcompass[.]pm

OpenClaw has 186K GitHub stars and 1.5M compromised API keys. I needed a secure alternative. So, I built it with n8n and Claude Opus 4.6. It can already: - Reply to your Telegram messages - Access selected folders from your laptop - Access Gmail, Drive, Notion, Linear, etc. - Install new local tools in a sandbox - Run autonomously for hours - Create multiple subagents - Learn from experience - Wake up regularly But, unlike OpenClaw, it: - Can't access your API keys - Can't modify its environment - Can't access folders you haven't shared - Can't access tools you haven't approved - Must get your confirmation, e.g., when sending emails These aren’t prompt instructions. They’re hard architectural boundaries — Docker isolation, mounted folder permissions, n8n’s tool approval system. Key components: ✅ The VPS on Hostinger hosts n8n and a sandbox container. Agents can also connect to my laptop's sandbox via a Claudeflare tunnel + Desktop Commander MCP. ✅ The Manager agent is the brain. It plans, decides, delegates, and talks to the user. It never touches files. It never runs scripts. It works entirely from executor summaries. ✅ The Executor agents are the hands. Each receives a task (what to do + why it matters), decides how to execute it, and reports back. They can install new tools and execute code only in their dedicated sandboxes. ✅ Data Tables in n8n store both memories and sessions — no external database, no vector store, no infrastructure. Just rows in a table. Turns out, that's enough. Two memory types: - Manager memory: user preferences, facts, corrections, relationship, skills, context - Executor memory: what tools are installed, what’s broken, workarounds ✅ Sessions are short-term state for multi-step tasks. Original request, plan, assumptions, and what happened so far. When the Manager loops with fresh context, the session is all it gets. That's a Ralph Wiggum loop. I've been using it for 5 days. And already can't imagine not having it on my phone. What's next: - Heartbeat via Cron (a scheduled prompt) - Civic Nexus governance + MCPs - Supermemory integration - WhatsApp as an additional surface - Hardening The architecture supports all of it. OpenClaw proved people want personal AI agents. It also proved that 'just trust the prompt' isn't a security model. Docker isolation, mounted folder permissions, tool approval — none of this is new technology. It's just discipline. You can easily do this even with n8n — no coding required. --- Want to try it or read more? More, what I learned, and a setup guide: productcompass[.]pm

Paweł Huryn

54,038 görüntüleme • 7 ay önce

Imagine an AI application that can type anywhere you can and use the full context of what's on your screen. This is the application we all deserve (at least if you have macOS.) Check out Omnipilot. It's an app that works with every other macOS application and uses Claude Sonet 3.5 in the background—it also supports Gemini and GPT-4o. Here is the idea: You can use the tool to ask questions about anything on your screen. Or you can use it to autocomplete the text you are typing. You don't need to copy and paste anymore or waste your time providing context to a model. It sees what you see. It works right where you are. That's pretty cool. Here are a couple of cool examples: • Use it to reply to an email • Use it in the terminal to autocomplete a command • Use it to finish a document • Use to send a message on Slack AI at the system level is bonkers. You can read a ton more on their Product Hunt launch page: Thanks to the Omnipilot team for collaborating with me on this post!

Imagine an AI application that can type anywhere you can and use the full context of what's on your screen. This is the application we all deserve (at least if you have macOS.) Check out Omnipilot. It's an app that works with every other macOS application and uses Claude Sonet 3.5 in the background—it also supports Gemini and GPT-4o. Here is the idea: You can use the tool to ask questions about anything on your screen. Or you can use it to autocomplete the text you are typing. You don't need to copy and paste anymore or waste your time providing context to a model. It sees what you see. It works right where you are. That's pretty cool. Here are a couple of cool examples: • Use it to reply to an email • Use it in the terminal to autocomplete a command • Use it to finish a document • Use to send a message on Slack AI at the system level is bonkers. You can read a ton more on their Product Hunt launch page: Thanks to the Omnipilot team for collaborating with me on this post!

Santiago

72,306 görüntüleme • 2 yıl önce

I made the worlds best Clipboard for your AI Agents Its called Bluey and its a dumb pointer which you can use to give 10x better context to your agent And you can point at your screen, talk to it, and it will generate a really good annotated screenshot which you can now give to your AI Agent You can use it while designing your website You can use it while explaining something on your screen. And it understands you and you can be really vague about things like "move this" , modify the color "here" and it will understand what you are pointing at. Im loving using it and I built it for myself as I was tired of clicking screenshots all the time and attaching it to my codex or claude code sessions Now I can just point, speak or type and drag and drop it anywhere I am giving free access to it in the comments and I would love for you to try it out. Join the discord and I am sharing the download link there. By the way everything stays 100 percent local. No screenshots are shared anywhere!

I made the worlds best Clipboard for your AI Agents Its called Bluey and its a dumb pointer which you can use to give 10x better context to your agent And you can point at your screen, talk to it, and it will generate a really good annotated screenshot which you can now give to your AI Agent You can use it while designing your website You can use it while explaining something on your screen. And it understands you and you can be really vague about things like "move this" , modify the color "here" and it will understand what you are pointing at. Im loving using it and I built it for myself as I was tired of clicking screenshots all the time and attaching it to my codex or claude code sessions Now I can just point, speak or type and drag and drop it anywhere I am giving free access to it in the comments and I would love for you to try it out. Join the discord and I am sharing the download link there. By the way everything stays 100 percent local. No screenshots are shared anywhere!

Milind S

12,085 görüntüleme • 4 ay önce

Codex has become a real game engine... If you take the time to make it become one. You can do EVERYTHING in it. And I think I've cracked the perfect custom UX? I'd like to show you how I use it. See video below 4 steps: - Create a custom tool you need, like one to generate new buildings that matches you game art direction - Ask Codex to open this tool in a worktree (important) - Attach the browser view of your tool in the Thread - Use pinned thread to have easy access to the tool And there you go: you have what I call a "codex-augmented" tool, which it's incredibly powerful because - the tool will speed up your development immensely AND also: - you can improve the tool as you use it with codex For example, let's say I want to add a new button to my 3D building gen tool so I can generate a thumbnail of the 3D building. - I click on "Building Lab" - I prompt Codex "add a button to generate thumbnails" - I have my new button - I can use the tool right away in the pinned Thread You can then use the /yeet skill to commit, push and create a PR with the changes you made to your tool. I have tools for everything - To manage my tasks in Linear - To do content / social media / steam marketing - To localize the game in 9 languages - To manage sounds, musics and voice lines - To generate and fine tune buildings - To create and animate procedural zombies - To tweak environnement/decor and map design - To manage my analytics - To simulate late game perf I'll be honest it's incredibly powerful and easy!

Codex has become a real game engine... If you take the time to make it become one. You can do EVERYTHING in it. And I think I've cracked the perfect custom UX? I'd like to show you how I use it. See video below 4 steps: - Create a custom tool you need, like one to generate new buildings that matches you game art direction - Ask Codex to open this tool in a worktree (important) - Attach the browser view of your tool in the Thread - Use pinned thread to have easy access to the tool And there you go: you have what I call a "codex-augmented" tool, which it's incredibly powerful because - the tool will speed up your development immensely AND also: - you can improve the tool as you use it with codex For example, let's say I want to add a new button to my 3D building gen tool so I can generate a thumbnail of the 3D building. - I click on "Building Lab" - I prompt Codex "add a button to generate thumbnails" - I have my new button - I can use the tool right away in the pinned Thread You can then use the /yeet skill to commit, push and create a PR with the changes you made to your tool. I have tools for everything - To manage my tasks in Linear - To do content / social media / steam marketing - To localize the game in 9 languages - To manage sounds, musics and voice lines - To generate and fine tune buildings - To create and animate procedural zombies - To tweak environnement/decor and map design - To manage my analytics - To simulate late game perf I'll be honest it's incredibly powerful and easy!

Nicolas Zullo

80,166 görüntüleme • 1 ay önce

Today I launched launched Larrybrain , you can tell how excited I am from the video. Larrybrain gives your OpenClaw machine instant knowledge. - it is the first skill you should install. It gives your agent every tool on larrybrain so when you ask it a question, it can find the best tool to help you. Larry brain is going to save you hundreds in SaaS subscriptions and replacing it with just one. The more people who create on LarryBrain, the more powerful it will become. You can test it free by asking your agent right now to install larrybrain skill and testing the Xcellent product - an opensource SuperX alternative to serve as a proof of concept on the future of SaaS. I am so excited.

Today I launched launched Larrybrain , you can tell how excited I am from the video. Larrybrain gives your OpenClaw machine instant knowledge. - it is the first skill you should install. It gives your agent every tool on larrybrain so when you ask it a question, it can find the best tool to help you. Larry brain is going to save you hundreds in SaaS subscriptions and replacing it with just one. The more people who create on LarryBrain, the more powerful it will become. You can test it free by asking your agent right now to install larrybrain skill and testing the Xcellent product - an opensource SuperX alternative to serve as a proof of concept on the future of SaaS. I am so excited.

Oliver Henry

36,253 görüntüleme • 7 ay önce