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! 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.
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