AI Workshop Agenda & Hands-On Lab Plan
Design an AI-assisted workflow that converts inputs about a workshop's audience level, theme, allowed tools, and desired outcomes into a complete 60–120 minute training package. The package must include an agenda, lab exercise, facilitation notes, and take-home resources while respecting constraints such as inclusivity, non-sensitive examples, and a no-install option. The workflow should help an AI educator rapidly generate practical, team-based workshop materials.
Schema Change Impact Analyzer
The workflow helps a data engineer evaluate the downstream impact of a proposed schema change. It identifies which consumers may break, classifies the type of change, recommends mitigation strategies, and produces a communication and cutover plan. The goal is to ensure safe, predictable data migrations with minimal disruption.
LLM Agent Evaluation Harness Scorecard
The workflow aims to generate a repeatable, rigorous evaluation framework for an LLM-based agent. It transforms inputs such as agent goals, tools, example conversations, success criteria, and failure modes into a structured rubric, representative test cases, scoring format, and analysis recommendations. The objective is to help builders benchmark agent performance both offline and during live monitoring without exposing sensitive data.
