👨‍💻For Developers

In addition to the user use cases, we have a variety of helpful tools for developers. These can help them make their own assistants. For personal use, or to sell on the marketplace

Building Blocks

Developers will have access to many building blocks on our platform that they can utilize. Our Domain Specific Knowledge and, Tools and skills, will also be available.

These contain simple to implement building blocks that will allow developers with a wide range of skill levels to participate in creating AI Assistants.

Tools and Skills

Tools & Skills in the wider context of the Skillful AI ecosystem are essentially the capabilities or functionalities that an AI agent can utilize to perform tasks. They are different from task-specific models in that they are not designed to perform a specific task but rather provide a general capability that can be used across a variety of tasks. For example, an Image Generation API could include multiple image generation models for distinct purposes such as generating logos, diagrams, flyers, etc. For Developers, Skillful AI provides a platform that allows developers to build and add their own tools and skills. This could involve integrating third-party APIs, developing custom machine-learning models, or creating bespoke algorithms. The platform provides a flexible and extensible framework that supports a wide range of programming languages and technologies, making it easy for developers to add new capabilities. To enable developers to build their own set of traits and identities, Skillful AI will offer a variety of tools and resources. Here are some possible examples:

Domain Specific Knowledge

Access to our Domain Specific Knowledge models, these are our trained base models with varying specialties. e.g. Marketing, Product management, Teaching. and then being able to re-train or customise them with data-sets of your choice.

Traits and Memories

• Trait and Identity Design Toolkit: This could be a software toolkit that provides a user-friendly interface for defining and customising traits and identity elements. It could include features like sliders and dropdown menus for adjusting different parameters, as well as a preview feature that allows developers to see how their changes will affect the agent's behaviour.

• APIs and SDKs: These could provide developers with programmatic access to the underlying systems and algorithms that govern the agent's behaviour. This would allow developers to create more complex and sophisticated traits and identities, and to integrate these into their own applications and services.

• Documentation and Tutorials: Comprehensive documentation and tutorials could provide developers with the information and guidance they need to effectively use the provided tools and resources. This could include things like step-by-step guides, best practices, and examples of successful trait and identity designs.