Part 2: system diagram and thoughts This isn't the optimal or most advanced design yet, but it's functioning effectively as a proof of concept. I've already revamped much of the logic to enhance the AI component, making it more human-like and less dependent on deterministic decisions. Below is a highly simplified diagram and only the […]

While developing the TraceIT AI ICT user support agent, I encountered a challenge. The bot performs well with multiple conditional nodes but struggles with reverting to generative responses or deciding when to use a tool to investigate an issue. I’m seeking a way to enhance the decision-making process, which could be improved by implementing a […]

Enhancing response times and elevating the customer support experience does not require traditional lateral scaling; instead, integrating intelligent AI solutions is the key to transformative efficiency.

In a previous post, I detailed the process of deploying an AI model with Azure AI Foundry. Now, in this article, I’ll guide you through integrating it into a website as a chatbot. The idea is to have a PHP file on the server that will deal with the AI endpoint. This file will receive […]

In addition to the public services provided by AI players and their APIs, there are situations where we prefer to deploy a model within our own tenant to ensure better alignment with legislation, data compliance, and data regionalization requirements. Microsoft offers a straightforward solution for this through Azure AI Foundry. The Azure AI Foundry portal […]

Microsoft deprecated it, so I built my own LAPS UI.