GPT Computer Assistant - Create intelligence for your products

Create your own intelligence specific to your product. With an agentic infrastructure, custom tools, and extensive API support, customize your intelligence in detail and establish extensive artificial intelligence infrastructures like apple intelligence.

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Hi folks, I'm Bartu, One of the co-founders of the GPT Computer Assistant (GCA). At OpenAI's GPT-4 launch in May, they said the future of their assistants was on new computers, and we wanted to democratize it. We designed the GPT computer assistant framework to support Windows, Linux, and MacOS.🧑‍💻 Why we say Intelligence, not Assistant - The Tool capability of the intelligence you will create with GCA is very high - Agentic infrastructure is available - You can add custom tools and create ordered tasks - We call it 'intelligence' because it can also be used as a framework. Assistants are usually tools that use the assistant capabilities of GPT-4 with an interface. When you allocate enough development time (700+ hours), you can reach GCA's level but we already offer it for free in a form that includes many APIs that you can easily customize. 🧩 We support both cloud and many local models. We believe that open-source models are critical for the democratization of AI. 👉 How to build intelligence for your product with the GPT Computer Assistant - A wide range of APIs are available for many things such as logo, product name, characterization - You can customize the agent infrastructure according to your product, so you can get higher quality AI outputs - By adding custom tools for agent infrastructure, you will get accurate results in specific tasks Experience✨ - It answers your question in less than a second in local models. - To get out of the monotony, we voice the answers the assistant gives in three different voices. - It understands when your conversation is over and acts according to your commands. - You can silence GCA without finishing its speech - You can see the path it followed to respond to your commands.
Congrats! GCA is paving the way for truly intelligent assistants. A possible enhancement could be adding a learning mode where the AI adapts to specific user preferences over time. Wishing you great success with GCA!
Yes, that would be great. Thank you for the suggestion.
Thanks, sure the new perspective of products will be this kind of interfaces.
We use it in the Upsonic codebase, we turned it into a copilot for ourselves, and it was especially useful in development.
Congrats on the launch! where do you see CGA having the most common use cases? Explain it to me like if I wasn't a Dev ('cause I'm not ahah)
Ahahah thanks Vitor, A common use case could be for b2b SaaS companies to create intelligence for their software. Like a on-bording guys. :)
For example, for a marketing tool, rather than just generating a message, you can ask it to research from forms and the web, thanks to the agent structure, this way you can get a more current result. You can ask it to write a blog about the topic it researches and have a much more successful text. After you build your own intelligence, you can add tool mechanisms that will enable the people using your product to onboard faster For e-commerce It can prepare a special report on what they can do to achieve more successful results by examining the Google analytics data of the people who open stores on the website. It can make price research, investigate the prices of the sold product in other stores, and give advice on why the shopping cart conversions are low. In our codebase product named Upsonic, we use many agents in topics such as writing code, checking code quality, setting code standards, passing the code through security, and auto-documentation of the code.
Thanks and for example you can create your ow Copilot for your b2b dev tools.
Congrats on bringing your idea to life! Wishing you a smooth and prosperous journey. How can we best support you on this journey?
We would be very happy if you could try the product and give feedback.
This is so smart! Great addition to any AI infrastructure. Congrats on the launch
Hey! Nice to hear that, you can easily create a customize AI infrastructure for your product
Absolutely, and it makes us happy to offer this to the community as open source.
Thanks and lets bring it to the future with Open Source Software community.
This looks intriguing, Bartu! I'm curious about how the GCA framework handles integration with existing systems. Is it straightforward to implement for developers who may not be deeply entrenched in AI or machine learning? Also, you mentioned that building with GCA can lead to high-quality outputs—what kind of metrics are you using to measure that? Any real-world examples or case studies of businesses benefiting from this? I’m especially interested in the flexibility of the agentic infrastructure you’ve offered. What kinds of custom tools have other makers found particularly useful? Looking forward to learning more!
A little knowledge of Python is enough, you don't need to be an advanced developer. We say this thanks to GCA's agentic infrastructure and its ability to successfully complete ordered tasks. We currently have 23k downloads, but we haven't tracked which projects it's used in.
Congrats,What level of technical expertise is required to effectively utilize GCA?
Thanks, and actually, if you can write a little bit of Python, you can create and customize your own intelligence for your products.
We will share a tutorial soon.
Perfect
A few things that caught my eyes: it's open source, how raw the product interface is (this means you really focused on building this as a framework), the APIs are quite comprehensive, the local LLM support, and the omni experience. Often times though, the use cases are fairly nuanced, so a lot of customization has to be done to make it work. How much time would it take to fine tune the app? Congrats on the launch and team!
It's a very clever approach, Tony. A simple customization takes 5 minutes, but a detailed customization can take between 1 and 10 hours.
oh wow that makes sense!
Hey Mehmet, How long does it typically take for someone to set up and start using GCA effectively? Could you give an example of a unique custom tool that can be added to the agent infrastructure? Congrats on the launch!
Thanks for your attention. Basic customization takes only 5 minute. Detailed one is just 30 minutes if your apps have API. And this is an example special tool:
Hi You can set up GCA in a simple way. Think of adding a custom tool like configuring a specific task related to your business.
Nice work and congratulations on the launch! Can we use internal user-level libraries of Windows using your product?
Yeah as you know the python is os-level language.
Congratulations on the launch! As a marketer, the use case of SEO analysis caught my eye. Can you share more use cases in terms of marketing?
Thanks Trisha, We have a lot of use cases about marketing and it relative with your imagination :) Especially in SEO you can get a specific recommendation from your Google Console
You can save your data in Google Search Console to its memory, so it can give recommendations on where you need to focus to increase user acquisition and raise awareness about your product. In fact, for places where you think AI can be used in your product, we provide a structure that allows you to get higher quality results and enter ordered tasks and totaly free
Also the developers of the apps that you used for SEO can generate their own Intelligence to serve you. It can help in many areas with llm power.
Wow, that's a really clever approach. Congratulations.
Thanks to Open Source Community. <3
Thank you
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