Session
Ship Agentic AI on Azure: Tools, Plans, and Guardrails
Modern apps need agents that can reason, call tools, and get work done—safely. In this session, we’ll design a small, production-minded agent: define its mission, give it tools (APIs, retrieval), add planning, and wrap it with guardrails (scopes, approvals, logging). You’ll see code for orchestrating tool use, handling uncertainty with confidence thresholds, and recovering when plans go off-track. We’ll also discuss where agents shine, where they don’t, and how to measure usefulness beyond “wow” demos. By the end, you’ll have a repeatable pattern to stand up task-focused agents on Azure, plus a checklist for safety, evaluation, and cost control.
What you’ll learn:
- Model a task-focused agent (mission, tools, planner, memory).
- Add guardrails: scopes, approvals, audit logs, fallbacks.
- Evaluate behavior and track quality over time.
Who it’s for: NET engineers shipping real features, not just demos.

Ron Dagdag
Microsoft AI MVP and R&D Manager @ 7-Eleven
Fort Worth, Texas, United States
Links
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