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.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.@bartu Congrats on your launch :) Explore techniques to recognize and respond to human emotions to further enhance the product experience.@dhruv_n1 Yes, that would be great. Thank you for the suggestion.@bartu @dhruv_n1 Thanks, sure the new perspective of products will be this kind of interfaces.@dash4u 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)@vitor_pvsoares Ahahah thanks Vitor, A common use case could be for b2b SaaS companies to create intelligence for their software. Like a on-bording guys. :)@vitor_pvsoares 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.@vitor_pvsoares Thanks and for example you can create your ow Copilot for your b2b dev tools.@vitor_pvsoares Congrats on bringing your idea to life! Wishing you a smooth and prosperous journey. How can we best support you on this journey?@kjosephabraham We would be very happy if you could try the product and give feedback.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 @bartu and team!@tonyhanded It's a very clever approach, Tony. A simple customization takes 5 minutes, but a detailed customization can take between 1 and 10 hours.Congratulations on the launch, very cool idea, where can I find some case studies? I need some examples to see how can I leverage this based on my specific needs. good job by you and your team and good luck today.@m4jiz Your product would improve the quality of the answers given by AI for Toypal. Also, with the custom tool mechanism, you can make the given answers more attractive and suitable for children.@m4jiz Thanks, for now the basic Python knowledge can leverage all of your needs. GCA is an well designed python library for different level of knowledges.
