Sharp-GPT empowers .NET developers to create robust AI agents by leveraging custom attributes on interfaces to define prompt templates, configure models, and manage conversational memory. It offers streaming output for real-time interaction, automatic JSON deserialization for structured responses, and built-in support for fallback strategies and logging. With pluggable HTTP clients and provider abstraction, you can switch between OpenAI, Azure, or other LLM services effortlessly. Ideal for chatbots, content generation, summarization, classification, and more, Sharp-GPT reduces boilerplate and accelerates AI agent development on Windows, Linux, or macOS.

Dialogflow CX Chatbot is an AI-driven conversational agent built on Google's Dialogflow CX framework. It processes natural language inputs, identifies user intents, and extracts entities to maintain context-aware dialogues across multi-turn interactions. With features like slot filling, conditional flows, and webhook integrations, it can dynamically fetch external data and trigger backend services during conversations. The chatbot supports custom event handling, fallback strategies for unrecognized queries, and multilingual setups, providing consistent responses. Developers can design visual state machines in the Dialogflow CX console, mapping conversation paths and testing interactions in real time. Easily deployed via webhooks or client SDKs, this chatbot integrates with websites, messaging platforms, and voice channels to streamline customer service, automate FAQs, and drive user engagement.