41 AI tools for Comms & support
Toolkit for Customer Success Managers to manage customer retention and revenue growth from existing customers.
Autonomous Support Responder agent resolves customer inquiries and identifies product improvement opportunities.
Creates customer feedback programs including NPS surveys, review collection strategies, testimonial requests, and analysis frameworks.
Design and implement conversational AI flows for natural, engaging dialogue systems.
Expert agent for designing multi-channel customer feedback systems with NPS/CSAT/CES surveys, sentiment analysis, automated routing, and actionable insights
FAQ Documentation Specialist creates user-focused, searchable FAQ documentation using question-first approach, progressive disclosure, and structured answer
A template and workflow for contributing reusable Claude skills to the open-source VibeBaza library, which contains 500+ skills, 120+ agents, and 850+ MCP
Human Toolkit is a Python class for AI assistants to send formatted messages to users, keeping them informed during multi-step workflows and long-running
Semantic Kernel chat completion skill with streaming, history management, and logit bias for building conversational AI applications.
Python examples for real-time streaming AI interactions using WebSocket and WebRTC protocols, including function calling support.
.NET SDK for building bidirectional voice AI assistants with Azure AI real-time audio, supporting GPT-4o models and function calling.
Real-time voice AI SDK for building bidirectional voice assistants with Azure AI in Node.js and browser environments using WebSocket streaming.
MCP server that sends push notifications to WeWork, DingTalk, Telegram, Bark, Lark, Feishu, and Home Assistant using environment-configured bot tokens.
MCP server for Microsoft Teams integration that enables reading messages, creating threads, replying with mentions, and listing channel members.
SendGrid MCP Server: AI-powered email sending, template management, and stats reporting.
Voyp MCP Server: AI-powered phone call integration.
A single-node prompt flow that processes chat history and questions through OpenAI Vision to enable image-based conversational AI interactions.
Develop LLM hallucination guardrails to ensure accurate, relevant, and policy-aligned AI outputs.
A structured prompting framework for OpenAI's gpt-realtime speech-to-speech API that organizes system prompts into modular sections for improved
Multi-step prompt workflow demonstrating tool_choice='required' for deterministic customer service flows with multi-turn evaluation using a customer GPT.
Cookbook demonstrating OpenAI Evals API for audio-based model evaluation using native audio inputs, model sampling, and audio grading without transcription.
A chat flow template for building a copilot assistant specifically designed to help users work with Microsoft Promptflow, enabling conversational AI
Evaluate perceived intelligence of LLM responses to gauge originality, insight, creativity, knowledge, and adaptability.
Question Simulation generates suggestions for the next question based on previous chat history and outputs [STOP] when the chat history indicates the
End-to-end framework for building voice-enabled AI agents using Model Context Protocol (MCP) and OpenAI Agents SDK, with RAG, database, and web search tools.
