Imagine an agent that does your computer work for you—from automation to web research to creating deliverables. Just type what you need in simple, natural language, and ComputerX turns your words into action.
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Best
I'm loving how it takes my instructions + turns them into results wo/ the usual AI prompt headache lol :)
Having the ability to create everything let's say web apps to data vis & see exactly how it's reasoning through each step gives me confidence in the outputs (which I still feel I need tbh)
Can't wait for what comes from following this journey + see where you take this next team!
Hey Sherry, huge congrats on launching ComputerX! This is an incredibly ambitious and exciting vision for the future of work. The idea of a single, natural language interface to orchestrate complex tasks is the holy grail for productivity.
I was particularly struck by your commitment to transparency—the "No black boxes" approach. This is absolutely critical for building user trust, especially when the agent is performing complex actions. It's a feature many others overlook.
My question for you is about the delicate balance between simplicity ("Just ask") and control. As tasks become more complex, how do you plan to handle ambiguity in a user's natural language request?
For example, if I ask it to "research the best marketing strategies for a SaaS product," how does the agent decide what "best" means, or which sources to trust? Do you envision a more interactive, guided dialogue for these kinds of complex, nuanced requests, where the user can refine the agent's plan before execution?
This is a fascinating challenge to solve. You're tackling a truly foundational problem. Wishing you all the best with the launch!
@felix_foster That's a great question, and it's definitely something we think about every day as we see increasingly complex tasks coming in! The approach we're taking to avoid "black boxes" and promote user trust and control is by making the agent's thinking and actions visible at the UX level. Here are the key features we've implemented:
- enhance prompt feature - users can adjust enhanced prompts to clarify ambiguity upfront before sending requests to the agent
- make the plan visible - agent provides a high-level plan so users can course-correct if needed
- making thinking & execution visible - agent verbalizes and shows all actions taken so users know exactly what's happening and can intervene if needed
Regarding your idea of "a more interactive, guided dialogue for complex, nuanced requests where users can refine the agent's plan before execution" - we actually implemented this in earlier prototypes involving computer-use technology (where agents use vision models to control a computer). For these tasks, we needed more precision since there's less room for ambiguity than in non-computer tasks. Here's a screenshot of what it looks like:
Back to your question about "simplicity" and "control." Currently, our agent primarily helps users with research and creating deliverables. Since these tasks aren't too high-stakes yet, we're emphasizing simplicity for a better user experience. However, if we see users requesting more complex or high-stakes tasks, or when we launch features with computer-use capabilities that require more precise planning, we'll consider adding more control features.
Like you said, it's a fascinating challenge to solve. Would love to hear more insights from you if you have any. Thanks!
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@joyce_jiayu_he Wow, Joyce, thank you for such a thoughtful and transparent response. This is one of the best replies I've seen on Product Hunt.
Your four-pronged approach to balancing user control with simplicity (enhancing prompts, asking questions, and making the plan/execution visible) makes complete sense.
And thank you especially for sharing that screenshot! It's fascinating to see that you've already prototyped that exact "guided dialogue" for more precise tasks. It confirms that you're thinking several steps ahead about the user experience.
Your product philosophy of deliberately choosing simplicity for current use-cases, while being ready to introduce more control for future high-stakes features, is incredibly mature and insightful.
You've answered my question perfectly. I have no more insights to add right now, just a lot of respect for the way you're building ComputerX. Wishing you and the team all the best!
Report
Its cool to see how this tool helps you get things done on your computer just by typing what you need, which is very much needed in this fast moving tech world!
@khyatigupta Thanks! Turning plain English into finished work streams is exactly our play, zero friction, maximum velocity. Let us know what bottlenecks we should bulldoze next. 🚀
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Wow this is so cool, is this available for market already?
@charlie_bakos Absolutely, computerx.ai is live right now. Use code LAUNCH30 for starter credits, and start shipping tasks in minutes. Your feedback will feed straight into the product roadmap, so fire away! 🚀
@chris_wyatt2 Right now, the agent excels at tasks that require deep web research and generating deliverables like slides, reports, spreadsheets, and web pages. We've also recently introduced task automation so that you can schedule recurring tasks—such as tracking product prices or monitoring company information—and have the results delivered directly to your inbox.
Report
I have tried ComputerX and found it smart at handling tedious computer tasks, which saves me a lot of time. However, it’s still quite new, and I hope it will support more complex functions in the future.
@rakibulism Thanks! While ComputerX isn't specifically built for SaaS app development, this is a really interesting example. We'll definitely take a closer look at how we can improve the agent architecture to better support these use cases.
@sherryruan Waiting for that. And you'll be glad to know that even computerX is taking longer time, but am tracking, and it going very well. I appreciate it.
@rakibulism Appreciate it! Congratulations on your launch too! 🎉 If this is too big of a scope for the free credits, let us know and we could figure something out! We’re eager to support fellow makers on Product Hunt!
Replies
I'm loving how it takes my instructions + turns them into results wo/ the usual AI prompt headache lol :)
Having the ability to create everything let's say web apps to data vis & see exactly how it's reasoning through each step gives me confidence in the outputs (which I still feel I need tbh)
Can't wait for what comes from following this journey + see where you take this next team!
ComputerX
@cranqnow Exactly the vibe: zero prompt gymnastics, full audit trail. Next drop pushes from web apps. Stay tuned! 🚀
ComputerX
@cranqnow Thank you so much — that means a lot! 😊
AITalk
Congratulation! Very nice product !
ComputerX
@zhangxing Thanks for the kudos! We’re just getting started—more high-impact features inbound. Stay tuned!
ComputerX
@zhangxing Thank you!!
Hey Sherry, huge congrats on launching ComputerX! This is an incredibly ambitious and exciting vision for the future of work. The idea of a single, natural language interface to orchestrate complex tasks is the holy grail for productivity.
I was particularly struck by your commitment to transparency—the "No black boxes" approach. This is absolutely critical for building user trust, especially when the agent is performing complex actions. It's a feature many others overlook.
My question for you is about the delicate balance between simplicity ("Just ask") and control. As tasks become more complex, how do you plan to handle ambiguity in a user's natural language request?
For example, if I ask it to "research the best marketing strategies for a SaaS product," how does the agent decide what "best" means, or which sources to trust? Do you envision a more interactive, guided dialogue for these kinds of complex, nuanced requests, where the user can refine the agent's plan before execution?
This is a fascinating challenge to solve. You're tackling a truly foundational problem. Wishing you all the best with the launch!
ComputerX
@felix_foster That's a great question, and it's definitely something we think about every day as we see increasingly complex tasks coming in! The approach we're taking to avoid "black boxes" and promote user trust and control is by making the agent's thinking and actions visible at the UX level. Here are the key features we've implemented:
- enhance prompt feature - users can adjust enhanced prompts to clarify ambiguity upfront before sending requests to the agent
- ask questions - our agent proactively asks clarifying questions when requests aren't clear
- make the plan visible - agent provides a high-level plan so users can course-correct if needed
- making thinking & execution visible - agent verbalizes and shows all actions taken so users know exactly what's happening and can intervene if needed
Regarding your idea of "a more interactive, guided dialogue for complex, nuanced requests where users can refine the agent's plan before execution" - we actually implemented this in earlier prototypes involving computer-use technology (where agents use vision models to control a computer). For these tasks, we needed more precision since there's less room for ambiguity than in non-computer tasks. Here's a screenshot of what it looks like:
Back to your question about "simplicity" and "control." Currently, our agent primarily helps users with research and creating deliverables. Since these tasks aren't too high-stakes yet, we're emphasizing simplicity for a better user experience. However, if we see users requesting more complex or high-stakes tasks, or when we launch features with computer-use capabilities that require more precise planning, we'll consider adding more control features.
Like you said, it's a fascinating challenge to solve. Would love to hear more insights from you if you have any. Thanks!
@joyce_jiayu_he Wow, Joyce, thank you for such a thoughtful and transparent response. This is one of the best replies I've seen on Product Hunt.
Your four-pronged approach to balancing user control with simplicity (enhancing prompts, asking questions, and making the plan/execution visible) makes complete sense.
And thank you especially for sharing that screenshot! It's fascinating to see that you've already prototyped that exact "guided dialogue" for more precise tasks. It confirms that you're thinking several steps ahead about the user experience.
Your product philosophy of deliberately choosing simplicity for current use-cases, while being ready to introduce more control for future high-stakes features, is incredibly mature and insightful.
You've answered my question perfectly. I have no more insights to add right now, just a lot of respect for the way you're building ComputerX. Wishing you and the team all the best!
Its cool to see how this tool helps you get things done on your computer just by typing what you need, which is very much needed in this fast moving tech world!
ComputerX
@khyatigupta Thanks! Turning plain English into finished work streams is exactly our play, zero friction, maximum velocity. Let us know what bottlenecks we should bulldoze next. 🚀
ComputerX
@charlie_bakos Absolutely, computerx.ai is live right now. Use code LAUNCH30 for starter credits, and start shipping tasks in minutes. Your feedback will feed straight into the product roadmap, so fire away! 🚀
Elisi : AI-powered Goal Management App
Love how ComputerX simplifies getting from idea to output. Web apps, charts, even PDFs — all without the usual friction. Big win for indie makers 👏
ComputerX
@venkateshiyer Thank for your warm support and encouragement!
Quash
i love the tool, it gave me pretty good results for heavy research related tasks, pretty impressive work!
ComputerX
@donna_dominic Thank you!
ComputerX
@chris_wyatt2 Right now, the agent excels at tasks that require deep web research and generating deliverables like slides, reports, spreadsheets, and web pages. We've also recently introduced task automation so that you can schedule recurring tasks—such as tracking product prices or monitoring company information—and have the results delivered directly to your inbox.
I have tried ComputerX and found it smart at handling tedious computer tasks, which saves me a lot of time. However, it’s still quite new, and I hope it will support more complex functions in the future.
Slashit App
This is huge good today! I just ran a command to build a SaaS using ComputerX, which is still in progress. I'll share the output and update soon.
I appreciate the whole team behind building this great stuff.
Slashit App
Still working on that half hour passed away even I was reading The Turtle & The Rabbit
ComputerX
@rakibulism Thanks! While ComputerX isn't specifically built for SaaS app development, this is a really interesting example. We'll definitely take a closer look at how we can improve the agent architecture to better support these use cases.
Slashit App
@sherryruan Waiting for that. And you'll be glad to know that even computerX is taking longer time, but am tracking, and it going very well. I appreciate it.
ComputerX
@rakibulism Appreciate it! Congratulations on your launch too! 🎉 If this is too big of a scope for the free credits, let us know and we could figure something out! We’re eager to support fellow makers on Product Hunt!