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.

Let's be honest: most of the time, using a website's search function is a source of frustration. It often involves endless scrolling and multiple page changes to find what you're actually looking for. I’m not even talking about searching by post category, date, or "God forbid" the author. This is because a typical search function […]

It looks like we, the humans, are doing it again. Every time a new technology makes its way into our lives we don't start learning and elevating ourselves to use it, but instead we dive head first and usually ... well, not the expected result. I always smile whenever I see an em dash (—) […]

I'm exploring replacing the WordPress search engine with an AI-powered search that uses AI models to better understand human queries beyond simple keywords, delivering more natural and comprehensible responses. After indexing and embedding my content using text-embedding-ada-002 in the Azure AI Search Service index and performing some queries, I noticed that the query responses varied […]