Technical Writing Bot

Select a Model:Choose a backend language model for conducting the analysis of your document:
GPT-4 & GPT-3.4: Advanced language models powered by OpenAI's API, suitable for a variety of tasks.
GPT-4 is significantly better at reasoning and understanding context, but at the cost of slower inference.
Claude Models: A series of language models utilizing Anthropic's API, V1.3 is signficantly more capable, but instant-v1 is incredibly fast.
Consider the nature of your document and desired output when selecting a model.

Select Rewrite Intensity:Choose the desired level of editing for your document by the Language Model:
Minimal: Makes only necessary changes, preserving most of the original content.
Normal: Makes moderate changes, balancing between preserving the original content and improving the overall quality.
Extreme: Makes extensive changes, resulting in a more significant transformation of the content.
Select an intensity based on your preference for maintaining the original tone and style versus enhancing the document.

Advanced Settings

New Guideline Enter any additional instructions or guidelines here to guide the Language Model's editing process.
Be specific about your requirements, such as tone, style, or any particular changes you want the model to make.
Examples: "Replace all instances of the City of Houston with the City of Baytown." or "Focus on correcting grammar and punctuation."

New Attribute Name:Enter a descriptive name for the attribute you want to add to influence the Language Model's output.
Examples include humor, professionalism, or politeness.
The chosen attribute will help guide the model to produce a document that aligns with your preferences.

New Attribute Value:Enter a value to represent the level or intensity of the attribute in the edited document:
Use descriptive adjectives, such as Low, Medium, or High, to indicate the desired degree of the attribute.
Numerical values like 1-10 can also be used, where 1 represents the lowest intensity and 10 the highest.
This value will help the Language Model understand the prominence of the selected attribute in the final output.

Additional Context Provide any additional context to help the Language Model understand the document's background or specific information.
This can include project details, target audience, or any other relevant information that may enhance the model's understanding.
Examples: "New equipment data to integrate into spec: {provide equipment dat}" or "The target audience is non-technical users."