Product Edu: Your AI Edge

AI models are incredibly powerful, but on their own, they can be highly unpredictable and difficult to control. That is why developers use an AI harness. Think of it as a set of strict guidelines and safety structures built directly around the artificial intelligence. This harness manages the AI's memory, sets firm boundaries, and forces the system to follow exact rules. When you feed data into the AI—like text logs or voice transcripts—the harness ensures the system processes that information

This episode breaks down what an AI agent is without overcomplicating it: a coordinator that interprets your request, determines what needs to happen, and chooses the next step. It explains the key components an agent needs—an underlying chat model (e.g., GPT, Claude, Gemini) to understand and respond, memory to retain context such as prior customer support issues, and tools to take real actions like checking order status, sending emails, updating a CRM, creating tickets, or calling APIs. The co

Sample mock up AI agent build to learn features of platform.

Sample mock example to test capability of AI agent platform and to understand how agents can be built.