From Chatbot to Decision Engine: Build Agentic AI Live

​Free 2-hour live online session: the 4 layers of agentic AI engineering (prompt, context, harness, loop) plus an intro to Jev.

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​What does it take to engineer an AI agent that works beyond a demo? In this free live session from Decoding Data Science, we break agentic AI engineering into four layers: prompt engineering, context engineering, harness engineering and loop engineering. You will see what each layer does, how the layers fit together, and where agents tend to break.

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​We also introduce Jev by TypeSafe AI, a System 1 decision model. Instead of generating free text, Jev answers typed questions (yes/no, category, rating) in a single pass and returns calibrated probabilities. That makes it useful for fast agent decisions such as routing a request, flagging a possible prompt injection, or deciding whether an action is safe to automate.

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​Live online with Q&A. Led by Mohammad Arshad, founder of Decoding Data Science. Free to join.