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MCP Episode 1: Understanding MCP and Its Importance Today | by Toni Maxx | June 2025
Jun 02

MCP Episode 1: Understanding MCP and Its Importance Today | by Toni Maxx | June 2025

Large Language Models (LLMs) have revolutionized how we interact with technology, effortlessly responding to prompts and enhancing conversations. However, there lies a significant challenge that often goes unaddressed: “They forget. Instantly.” Each time a user engages, it’s as if the model is starting from scratch, which complicates tasks requiring consistency or memory. For simple trivia … Read more
MCP Episode 1.1: The Protocol Behind Agentic AI’s Personality | By Toni Maxx | June 2025
Jun 02

MCP Episode 1.1: The Protocol Behind Agentic AI’s Personality | By Toni Maxx | June 2025

Recent discussions on “agentic AI” have gained traction, highlighting its potential capabilities. At its core, agentic AI refers to systems that can: Set and pursue goals Utilize tools and APIs Make sequential decisions Learn and reflect over time “Without structured context management, agentic AI is just improvisation.” While that sounds promising, there’s a critical oversight … Read more
MCP Episode 2: Exploring MCP’s Structure, Sessions, and Context Blocks | Toni Maxx | June 2025
Jun 02

MCP Episode 2: Exploring MCP’s Structure, Sessions, and Context Blocks | Toni Maxx | June 2025

In the realm of artificial intelligence, current applications often manage “context” in a limited manner, primarily as long strings of conversation logs. While this approach can function effectively, it faces significant limitations: No memory control: AI struggles to retain relevant information across interactions. No role awareness: There’s often a lack of understanding about the roles … Read more
MCP Episode 3: Exploring Patterns, Agents, and Practical Applications with Toni Maxx | June 2025
Jun 02

MCP Episode 3: Exploring Patterns, Agents, and Practical Applications with Toni Maxx | June 2025

Exploring Innovative AI Tools for Efficiency As technology advances, new AI solutions are transforming how we work and communicate. Here are three key innovations worth noting: Personal AI Workspaces: Imagine a writing assistant that adapts to your unique style, tone, and tasks over weeks, enhancing your productivity. Enterprise QA Copilot: This smart chatbot keeps track … Read more
MCP: Final Recap—Transitioning from Prompts to Protocols as the MCP Era Begins
Jun 02

MCP: Final Recap—Transitioning from Prompts to Protocols as the MCP Era Begins

MCP: Final Wrap-Up — From Prompts to Protocols: The MCP Era Begins In this insightful wrap-up of the Model Context Protocol (MCP), you’ll discover how this innovative approach reshapes the future of AI: Episode 1 emphasized why context is vital for creating smarter and more trustworthy AI solutions. Episode 1.1 linked MCP with agentic AI, highlighting its … Read more
MCP Episode 1: Understanding MCP and Its Importance Today | by Toni Maxx | June 2025
Jun 01

MCP Episode 1: Understanding MCP and Its Importance Today | by Toni Maxx | June 2025

Large Language Models (LLMs) are undeniably impressive, allowing users to engage in fluid conversations by simply prompting them. However, a significant flaw lurks beneath this engaging interface: they forget instantly. Each interaction acts as a complete reset, making consistency and memory challenging—especially for long-term tasks. This poses a problem when you need an AI to … Read more
MCP Episode 2: Exploring Structure, Sessions, and Context Blocks | Toni Maxx | June 2025
Jun 01

MCP Episode 2: Exploring Structure, Sessions, and Context Blocks | Toni Maxx | June 2025

Many current AI applications rely on a simplistic approach to “context,” often represented as lengthy logs of conversation. While functional, this method has its limits, leading to issues such as: No memory control: AI lacks the ability to recall past interactions effectively. No role awareness: The AI struggles to understand its position or purpose in … Read more
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