How It Works

To better understand how the MARK•R AI engine works:

  1. The user goes to any website and highlights a block of text
  2. This text then becomes the core prompt where any questions or queries the MARK•R AI will point to for a response
  3. Then the user enters a conversational question or query and submits
  4. The MARK•R AI model will first:
    1. Look at the query/question
    2. Analyze against the core prompt
    3. Analyze that against the entire web page
    4. Generate a conversational response

Step 1: Highlight
Web Text

The user navigates to any web page and highlights the block of copy they would like to ask a question about

Step 2: Insert Question

The user inserts a conversational query or question, then submits or enters the question

 

Step 3: AI Response Generated

The user can regenerate or copy the response for use within a document.

 

When the user highlights any block of text, the MARK•R AI engine immediately classifies it as the “core prompt.” Any question or query the user inserts into the AI text field will be analyzed against the core prompt when generating a response.
The user can also ask to have the response stated in a certain way and in a certain format for example, they may ask the model to, “produce an 8 slide PowerPoint presentation outline in a tone to present to stakeholders.
Once the user submits the query, MARK•R will refer to the core prompt but also include analysis from the entire webpage. In other tier plans, it will also analyze the entire website to generate an even more in-depth, relevant and broader response.
Click here to view specific use case examples
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