Tag: AI
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vTSafeKernelInvoker – Efficient Semantic Kernel Plugin Execution Without Extra AI Token Costs, Especially for Large Output Data
vTSafeKernelInvoker is a lightweight .NET extension for Semantic Kernel that introduces the method InvokePromptFunctionUsingCustomizedKernelAsync. This method helps reduce AI service token usage and cost by avoiding unnecessary AI post-processing of plugin results. Curious about Semantic Kernel? Explore the official overview here: https://learn.microsoft.com/en-us/semantic-kernel/overview/ Why Use This Package? When using standard Semantic Kernel methods like InvokePromptAsync or GetChatMessageContentAsync (via IChatCompletionService) etc, the plugin result is […]Read This Post: vTSafeKernelInvoker – Efficient Semantic Kernel Plugin Execution Without Extra AI Token Costs, Especially for Large Output Data -
AI replacing the Browser? and Front-End dead? Exploring ‘Model Context Protocol’ (MCP)
I recently experimented with something I believe could reshape how we interact with internal data using AI assistants like ChatGPT, Copilot, and Claude. It’s called MCP: Model Context Protocol. and it’s a game changer! What is MCP? MCP (Model Context Protocol) is an open protocol that enables AI assistants to access real-time, internal data directly from […]Read This Post: AI replacing the Browser? and Front-End dead? Exploring ‘Model Context Protocol’ (MCP) -
How We Use AI in Our Projects – A Simple Example with Address Entry
Two months ago at NeST Tech Fest 2025, I proudly showcased my personal project “SmartQueryBot” : a fusion of database tech and artificial intelligence. During the exhibition, one enthusiastic developer asked me a powerful question: “It’s great… “How and when would we actually use AI in our projects?” To answer this, I’ve created a simple yet powerful […]Read This Post: How We Use AI in Our Projects – A Simple Example with Address Entry
