Project TraceIT - AI user support (part 4 - understanding screenshots and pictures)

Continuing the TraceIT series on building an AI agent for IT support, let’s explore how to implement one of the most practical and useful features: enabling the agent to understand and process user attachments - especially pictures and screenshots, which users send all the time when requesting help. A few real-world examples: Account locked due […]

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Project TraceIT - AI user support (part 3)

Check out my latest YouTube video showcasing TraceIT AI Support, a Proof of Concept for a 24/7 AI agent I developed to assist end users! This intelligent agent tackles basic troubleshooting, provides clear guidance on internal processes and SOPs, and understands natural language and user intent effortlessly. It dynamically adapts if users switch topics mid-conversation […]

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Project TraceIT - AI user support (part 2)

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 […]

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Project TraceIT - AI user support (part 1)

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.

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