Jordan Augé

Jordan Augé

Research Software Engineer — Tech Lead

Outshift @ Cisco

Working at the intersection of systems research and engineering — from networking and security to agentic AI. This site gathers my research work and a personal blog where I document whatever I'm building or tinkering with at the time.

Design and evaluation of robust agentic AI systems

My current work focuses on the design and evaluation of robust agentic AI systems, with a focus on observability and interpretability. As part of this effort, I am chairing the Accuracy and Reliability working group of the AAIF.

More details

Background

View CV →

Education

  • PhD in Networking, 2014 Telecom ParisTech & Orange, France
  • Engineering Degree in Computer Science (MSc), 2004 ENSIIE, France

Previous positions

  • Postdoctoral researcher Telecom ParisTech / LINCS, 2014
  • Research engineer UPMC / LIP6 / LINCS, Paris, 2009-2014
  • Research assistant University of Cambridge, 2008-2009

MAS-Lab Accepted at AGNTCon + MCPCon Europe

2026-07-22

“MAS-Lab: An Open Framework for Spec-Driven, Interoperable Multi-Agent Systems” has been accepted at AGNTCon + MCPCon Europe 2026. I’ll be presenting this work and also attending as chair of the AAIF Accuracy and Reliability working group.

AAIF Chairs Interview on Open Source and Agentic AI

2026-07-09

Interview with colleagues at the AAIF on open source and agentic AI. We discuss why open source matters for agentic systems, and the standards we’re building around agent failure modes, multi-agent observability, and operational practices for production AI systems.

MAS-Lab Open-Source Release and arXiv Paper

2026-06-30

We have released MAS-Lab, a specification-driven validation framework for reliable multi-agent systems, as open source on GitHub, together with an arXiv preprint.