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Self-reflection for Agentic Control
The talk demonstrates how structured self‑reflection improves agentic workflows, using a browser‑interaction agent and visual verification, monitoring actions to prevent deviations.
My demo will explore self-reflection in agentic workflows. You will learn how structured self-reflection enhances agentic process quality and prevents system deviations. I will act as an agentic system that executes actions and an AI verifier will monitor my actions and assess my execution. Perhaps I will even be able to trick the verifier ;)
Some more details about the demo: I will be impersonating a browser interaction agent (similar to Google’s Project Mariner or OpenAI’s Operator) and the verifier (based on an LLM with vision) will use natural language description of my actions and screenshots of the webpage as input for verification.