• The New Interface

  • The New Interface

  • The New Interface

  • The New Interface

  • The New Interface

Proof of Concept

Mythra was created out of the question "how can solving problems be better than searching on a browser?" My developer, Shovon, and I entered the competition AI + UX Reflecting on 2023, Anticipating 2024 hosted by StratMinds and Design Buddies where we explored this prior question. I designed the concept, Shovon built the research preview, and we both crafted the white paper under the demo.

The entire production was done in 4 days from inception.

This is the next logical step to bridge this gap

What about ChatGPT plugins?

3rd-party development is too difficult and <1% of LLM users use plugins

Even with plugins installed the best ChatGPT can do is generate an image or text of the output from the plugin, which isn't a compelling experience.

Modern internet communication is done through HTTP requests.

For the public

LLMs + Internet

As LLMs grow more sophisticated, it is important for the user to autonomously output an interface.
Ultimately, Mythra offers more intuitive and dynamic solution to the public in solving problems than existing LLMs.


For the developer

Describe how to use your app, watch LLMs summon your website in minutes

How to translate use cases into HTTP Requests

interface Protocol {
  description: string,
  endpoints: {
    [key: string]: {
      description: string,
      action: 'GET' | 'POST' | 'PUT' | 'DELETE',
      params: {
        [key: string]: {
            description: string,
            type: 'string' | 'number' | 'boolean'
        }
      },
      request: {
        headers: string[],
        description: string
        body: {
            [key: string]: string
        }
      },
      response: {
        headers: {
            [key: string]: string
        },
        description: string;
        body: {
            [key: string]: string
        }
      }
    }
  },
  baseUrl: string,
}


Weather Application Example

We just provide the agreement on how to bring your website. You handle the rest.

We believe the key to low cross-entropy loss results is for developers to provide as thorough and accurate a description of each endpoint and its parameters as possible.

By ingesting these descriptions along with the HTTP interface, an LLM can be made to learn how to communicate with it purely through HTTP.

Closing

We had the honor of winning the challenge and will be competing in a stealth AI hackathon for 2024, where we will be further polishing this idea into viable world wide web integration.

For next steps, we plan to consider features such as suggestions, working on a blueprint for an AI protocol or mapping out a protocol beyond HTTP. The ideal milestone would be taking this to W3C.


Open to new work

Have a project or opportunity in mind?

  • The New Interface

  • The New Interface

  • The New Interface

  • The New Interface

  • The New Interface

Proof of Concept

Mythra was created out of the question "how can solving problems be better than searching on a browser?" My developer, Shovon, and I entered the competition AI + UX Reflecting on 2023, Anticipating 2024 hosted by StratMinds and Design Buddies where we explored this prior question. I designed the concept, Shovon built the research preview, and we both crafted the white paper under the demo.

The entire production was done in 4 days from inception.

This is the next logical step to bridge this gap

What about ChatGPT plugins?

3rd-party development is too difficult and <1% of LLM users use plugins

Even with plugins installed the best ChatGPT can do is generate an image or text of the output from the plugin, which isn't a compelling experience.

Modern internet communication is done through HTTP requests.

For the public

LLMs + Internet

As LLMs grow more sophisticated, it is important for the user to autonomously output an interface.
Ultimately, Mythra offers more intuitive and dynamic solution to the public in solving problems than existing LLMs.


For the developer

Describe how to use your app, watch LLMs summon your website in minutes

How to translate use cases into HTTP Requests

interface Protocol {
  description: string,
  endpoints: {
    [key: string]: {
      description: string,
      action: 'GET' | 'POST' | 'PUT' | 'DELETE',
      params: {
        [key: string]: {
            description: string,
            type: 'string' | 'number' | 'boolean'
        }
      },
      request: {
        headers: string[],
        description: string
        body: {
            [key: string]: string
        }
      },
      response: {
        headers: {
            [key: string]: string
        },
        description: string;
        body: {
            [key: string]: string
        }
      }
    }
  },
  baseUrl: string,
}


Weather Application Example

We just provide the agreement on how to bring your website. You handle the rest.

We believe the key to low cross-entropy loss results is for developers to provide as thorough and accurate a description of each endpoint and its parameters as possible.

By ingesting these descriptions along with the HTTP interface, an LLM can be made to learn how to communicate with it purely through HTTP.

Closing

We had the honor of winning the challenge and will be competing in a stealth AI hackathon for 2024, where we will be further polishing this idea into viable world wide web integration.

For next steps, we plan to consider features such as suggestions, working on a blueprint for an AI protocol or mapping out a protocol beyond HTTP. The ideal milestone would be taking this to W3C.


Open to new work

Have a project or opportunity in mind?

  • The New Interface

  • The New Interface

  • The New Interface

  • The New Interface

  • The New Interface

Proof of Concept

Mythra was created out of the question "how can solving problems be better than searching on a browser?" My developer, Shovon, and I entered the competition AI + UX Reflecting on 2023, Anticipating 2024 hosted by StratMinds and Design Buddies where we explored this prior question. I designed the concept, Shovon built the research preview, and we both crafted the white paper under the demo.

The entire production was done in 4 days from inception.

This is the next logical step to bridge this gap

What about ChatGPT plugins?

3rd-party development is too difficult and <1% of LLM users use plugins

Even with plugins installed the best ChatGPT can do is generate an image or text of the output from the plugin, which isn't a compelling experience.

Modern internet communication is done through HTTP requests.

For the public

LLMs + Internet

As LLMs grow more sophisticated, it is important for the user to autonomously output an interface.
Ultimately, Mythra offers more intuitive and dynamic solution to the public in solving problems than existing LLMs.


For the developer

Describe how to use your app, watch LLMs summon your website in minutes

How to translate use cases into HTTP Requests

interface Protocol {
  description: string,
  endpoints: {
    [key: string]: {
      description: string,
      action: 'GET' | 'POST' | 'PUT' | 'DELETE',
      params: {
        [key: string]: {
            description: string,
            type: 'string' | 'number' | 'boolean'
        }
      },
      request: {
        headers: string[],
        description: string
        body: {
            [key: string]: string
        }
      },
      response: {
        headers: {
            [key: string]: string
        },
        description: string;
        body: {
            [key: string]: string
        }
      }
    }
  },
  baseUrl: string,
}


Weather Application Example

We just provide the agreement on how to bring your website. You handle the rest.

We believe the key to low cross-entropy loss results is for developers to provide as thorough and accurate a description of each endpoint and its parameters as possible.

By ingesting these descriptions along with the HTTP interface, an LLM can be made to learn how to communicate with it purely through HTTP.

Closing

We had the honor of winning the challenge and will be competing in a stealth AI hackathon for 2024, where we will be further polishing this idea into viable world wide web integration.

For next steps, we plan to consider features such as suggestions, working on a blueprint for an AI protocol or mapping out a protocol beyond HTTP. The ideal milestone would be taking this to W3C.


Open to new work

Have a project or opportunity in mind?