Kerlig
5
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Introduction:AI writing tool designed for macOS.
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Category:Text&Writing
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Added on:Jun 06 2024
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Monthly Visitors:18.0K
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Social & Email:
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Kerlig: An Overview
Kerlig is an innovative in-context AI writing assistant designed specifically for macOS, providing users with seamless AI integration across various applications. Its primary use case revolves around enhancing communication by assisting users in crafting messages with the perfect tone, correcting spelling errors, and improving overall text quality.
Kerlig: Main Features
- Fix spelling before sending messages
- Summarize websites and articles
- Engage in interactive chats with PDFs and documents
- Translate text into any language
Kerlig: User Guide
- Launch Kerlig by selecting text within any application on your macOS device.
- Choose the desired action such as correcting spelling, changing the tone of the text, or generating new text.
- Review the suggestions or generated text provided by Kerlig.
- Paste the modified text back into the original application as needed.
Kerlig: User Reviews
- "Kerlig has transformed the way I communicate, making it easier to send messages that sound professional and polished." - Sarah T.
- "The ability to summarize articles quickly has saved me so much time in my research process." - Alex B.
- "I love how I can chat with my PDFs, it makes reviewing documents so much more interactive!" - Jamie L.
- "The translation feature is a game-changer for my work with international clients. Highly recommend!" - Chris M.
FAQ from Kerlig
What is the process of utilizing this tool?
Simply highlight the text in any application, activate the tool with a designated keyboard shortcut, execute your desired operations, and then paste the revised text back into your original application.
Which AI models are compatible with this service?
The service supports multiple AI frameworks, including OpenAI, Claude, Gemini Pro, and Groq.
What is the pricing structure for the service?
The subscription fee is set at $27, reflecting a discounted rate from the original price of $39.
Can you explain the data retention capacity?
The specifics regarding the context window limit are currently unavailable.
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