• AI + Internet

  • AI + Internet

  • AI + Internet

  • AI + Internet

  • AI + Internet

Proof of Concept

Mythra was created out of the question "how can solving problems be better than searching on a browser?" 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, and my developer 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 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.

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.

Open to new work

Have a project or opportunity in mind?

  • AI + Internet

  • AI + Internet

  • AI + Internet

  • AI + Internet

  • AI + Internet

Proof of Concept

Mythra was created out of the question "how can solving problems be better than searching on a browser?" 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, and my developer 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 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.

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.

Open to new work

Have a project or opportunity in mind?

  • AI + Internet

  • AI + Internet

  • AI + Internet

  • AI + Internet

  • AI + Internet

Proof of Concept

Mythra was created out of the question "how can solving problems be better than searching on a browser?" 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, and my developer 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 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.

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.

Open to new work

Have a project or opportunity in mind?