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.
Report
@bartu 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!
@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.
@trisha_sinha20 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
@trisha_sinha20 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
@trisha_sinha20 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.
Report
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!
@promised_land We use;
- langchain
- openinterpreter
- crewai
and we support everyting with local support. Include TTS, STT and LLM models. GCA default one is really comparable with OpenAI desktop app but GCA is more than one shit app.
Report
Congrats on the project @bartu . Just signed up and I'm already impressed! Excited to dive deeper and see how it can enhance my workflow! Do you have any suggestions on what to check out first?
@berkebasaraner Thank you Berke, first determine where AI can be used for your product, then you can perform a basic customization in 5 minutes. You can complete a more comprehensive customization in one hour, but you need a developer to do these.
GPT Computer Assistant(GCA) | 5K Star
GPT Computer Assistant(GCA) | 5K Star
GPT Computer Assistant(GCA) | 5K Star
GPT Computer Assistant(GCA) | 5K Star
Tap My Back
GPT Computer Assistant(GCA) | 5K Star
GPT Computer Assistant(GCA) | 5K Star
GPT Computer Assistant(GCA) | 5K Star
GPT Computer Assistant(GCA) | 5K Star
ContentRadar
GPT Computer Assistant(GCA) | 5K Star
GPT Computer Assistant(GCA) | 5K Star
GPT Computer Assistant(GCA) | 5K Star
GPT Computer Assistant(GCA) | 5K Star
GPT Computer Assistant(GCA) | 5K Star
Pallie
GPT Computer Assistant(GCA) | 5K Star
GPT Computer Assistant(GCA) | 5K Star
GPT Computer Assistant(GCA) | 5K Star