Kerlig

Kerlig
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Description:

Kerlig is an in-context AI writing assistant designed for macOS that integrates with various AI models such as OpenAI, Claude, Gemini Pro, and Groq, allowing users to enhance their writing directly within any app. It provides spell-checking, grammar correction, and the ability to craft well-composed messages quickly, which can be particularly useful for those who want to avoid typos and communicate effectively without delays. Users can also interact with it as they would with ChatGPT, making it a versatile tool for a wide range of writing and communication tasks. The convenience of having an AI assistant at hand is likely to appeal to professionals, students, and anyone looking to improve their written communication on the Mac platform.

🚩 WARNING: This tool has been flagged for either trying to game the upvote system, poor customer reviews, or shady practices! Please be aware and use this tool with caution. It is currently under review! Upvoting has been turned off for this tool until we've come to a conclusion.

A writing and communication assistant for across MacOS.
Note: This is a Google Colab, meaning that it's not actually a software as a service. Instead it's a series of pre-created codes that you can run without needing to understand how to code.
Note: This is a GitHub repository, meaning that it is code that someone created and made publicly available for anyone to use. These tools could require some knowledge of coding.
Pricing Model:
Paid
Price Unknown / Product Not Launched Yet
Free Trial Available
This tool offers a free trial!

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👍Matt's Pick - This tool was selected as one of Matt's Picks!
Note: Matt's picks are tools that Matt Wolfe has personally reviewed in depth and found it to be either best in class or groundbreaking. This does not mean that there aren't better tools available or that the alternatives are worse. It means that either Matt hasn't reviewed the other tools yet or that this was his favorite among similar tools.
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A writing and communication assistant for across MacOS.
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