3 مستودعات
Tools for adjusting the emotional warmth and phrasing of model outputs to match specific brand identities or audiences.
Distinct from Prompt Optimizers: Focuses specifically on linguistic tone and emotional warmth rather than general prompt accuracy or reliability.
Explore 3 awesome GitHub repositories matching artificial intelligence & ml · Tone Customizations. Refine with filters or upvote what's useful.
ChatGPT-Shortcut is a prompt engineering toolkit and management library designed to organize, refine, and deploy structured instructions for large language models. It functions as a browser-based prompt injector and a self-hosted prompt database, allowing users to maintain a curated collection of specialized templates. The project features a community prompt gallery where users can publish, discover, and vote on effective templates. It distinguishes itself by integrating these libraries directly into chat interfaces via userscripts or browser extensions, enabling access to prompts through sid
Provides tools to adjust phrasing and emotional warmth to match brand identities or audience demographics.
This project is a plugin framework and agentic workflow library designed to connect large language models to professional toolstacks. It provides a system for integrating language models with external data warehouses, CRMs, and other enterprise software to retrieve and manipulate real-time business data. The framework enables the automation of specialized professional tasks through a file-based plugin definition system. It allows for the customization of domain expertise and plugin behavior to align with internal company processes, supported by an enterprise data connector that links models t
Implements automated drafting of tone-matched customer responses and refund processing based on order context.
Libredesk is an omnichannel support management system designed to unify live chat and email communications into a single dashboard. It provides a comprehensive environment for managing customer interactions, agent roles, and team assignments to organize support workloads. The project distinguishes itself through AI customer support automation, which includes generating automated responses and refining message tones. It also supports the development and integration of custom chat widgets using WebSockets and JavaScript APIs. The system covers a broad set of capabilities, including customer re
Rewrites draft messages using AI to adjust the tone for professional customer delivery.