Cover Image for AI Show and Tell - New York
Cover Image for AI Show and Tell - New York
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AI Show and Tell
A global AI events series, each month we will welcome thought leaders, founders and innovators to share and discuss their work.
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About Event

​Agents are easy to demo. Running them is the hard part.

​Global AI New York is back at Microsoft Lafayette for an evening about what happens after the demo: evaluating agents, governing them, and running a team of them in production.

​Three talks, real systems, real failure modes. Plus a light dinner and time to talk to the people building this stuff.

​Agenda

​6:00pm Welcome and light dinner

​7:00pm Your New Teammates: Architecting a Multi-Agent Workforce
Henk Boelman
Inside hamba.nl, a live Dutch travel magazine run by seven Foundry-hosted agents that cover the full editorial pipeline from draft to published article. Scoping, orchestration, MCP, handoffs, and where the human stays in control.

​7:30pm From Findings to Fixes: How SCOPE and Azure Cosmos DB Improved the Agentic Product Experience
Jay Gordon and Cedric Vidal
Eight AI-generated use cases, six stacks, three months of testing. Broken SDK usage, expensive queries, unsafe data patterns, and what it took to actually fix them.

​8:00pm From Intent to Enforcement: Open-Source Evaluation and Governance for AI Agents
Mehrnoosh Sameki
ASSERT turns plain-language expectations about agent behaviour into executable evaluations. ACS carries them into production as portable policies. Together they close the loop from intent to enforcement.

​Who should come
Developers, architects and anyone putting agents in front of real users.

​Free to attend, seats are limited.

​Full details and speaker bios: https://globalai.community/e/783bfa20

​Hosted by Global AI New York, part of the Global AI Community.

Location
Microsoft Research Lab
300 Lafayette St, New York, NY 10012, USA
Avatar for AI Show and Tell
Presented by
AI Show and Tell
A global AI events series, each month we will welcome thought leaders, founders and innovators to share and discuss their work.
248 Went