SpeakersAgendaWhy attendPartnersVenue
Locations ▼
Text here
Text here
Sign In
Register
SpeakersAgendaWhy attendPartnersVenue
Locations ▼

Get invited

Register

Partner with us

Secure your seat

Event starts in:
115

days :

22

hours :

25

minutes

31

D.C.'s #1 assembly of engineers & execs. Secure your pass for January 2027 today.

January 28, 2027
Washington

View the
agenda

Sponsor

Download brochure

View full summit page

What's on
Main Stage
Networking & exhibition
January 28
January 28
January 28
08:00
Networking & exhibition
Registration & welcome breakfast
See the details
09:00
Main Stage
Crash, resume, undo: Durable execution for long-running agents
Patrick Falvey, Member of Technical Staff, OpenAI
Eric Koch, Member of Technical Staff, OpenAI
See the details
09:30
Main Stage
Every agent needs an ID badge: Scoped identity and delegated auth for agents and MCP
See the details
10:00
Main Stage
The agent that ate the budget: Controlling token spend at runtime
See the details
10:30
Networking & exhibition
Coffee break
See the details
11:00
Main Stage
Panel | Inside the black box: Observability and debugging for autonomous agents
Nelson Claros, Data Engineering Manager, DoorDash
Isabela Reeves, Senior Machine Learning Engineer, Dollar General
Luis B., Director, AI & Data Science, Foot Locker
Magdalena Dwulit, Lead Delivery Manager, Enterprise Architecture & Data, Hilton
See the details
11:30
Main Stage
The agent that ate the budget: Controlling token spend at runtime
See the details
12:00
Main Stage
Panel | The oversight tax: How much review agentic AI actually needs
Lars McCarter, Head of AI, Privacy & Security Assurance, Amazon
Takunda Jora, Senior Data Scientist, Reddit
See the details
12:30
Networking & exhibition
Lunch break
See the details
13:30
Main Stage
Agents with no internet: Building agent stacks for air-gapped environments
See the details
14:00
Main Stage
No API, no problem? Computer-use agents on legacy systems
See the details
14:30
Main Stage
Panel | Building Eval Pipelines That Actually Catch Regressions
Jeffrey Pincus, Data Science Manager | Syndication Insights, Comcast
See the details
15:00
Networking & exhibition
Coffee break
See the details
15:30
Main Stage
Supervisor, handoff or shared state: Multi-agent architecture patterns that survive production
See the details
16:00
Main Stage
Grading the trajectory, not the answer: Evals for multi-step agents
See the details
16:30
Networking & exhibition
Networking drinks
See the details
What's on
Main Stage
Networking & exhibition
January 28
January 28
January 28
08:00
Networking & exhibition
Registration & welcome breakfast
See the details
09:00
Main Stage
Crash, resume, undo: Durable execution for long-running agents
Patrick Falvey, Member of Technical Staff, OpenAI
Eric Koch, Member of Technical Staff, OpenAI
See the details
09:30
Main Stage
Every agent needs an ID badge: Scoped identity and delegated auth for agents and MCP
See the details
10:00
Main Stage
The agent that ate the budget: Controlling token spend at runtime
See the details
10:30
Networking & exhibition
Coffee break
See the details
11:00
Main Stage
Panel | Inside the black box: Observability and debugging for autonomous agents
Nelson Claros, Data Engineering Manager, DoorDash
Isabela Reeves, Senior Machine Learning Engineer, Dollar General
Luis B., Director, AI & Data Science, Foot Locker
Magdalena Dwulit, Lead Delivery Manager, Enterprise Architecture & Data, Hilton
See the details
11:30
Main Stage
The agent that ate the budget: Controlling token spend at runtime
See the details
12:00
Main Stage
Panel | The oversight tax: How much review agentic AI actually needs
Lars McCarter, Head of AI, Privacy & Security Assurance, Amazon
Takunda Jora, Senior Data Scientist, Reddit
See the details
12:30
Networking & exhibition
Lunch break
See the details
13:30
Main Stage
Agents with no internet: Building agent stacks for air-gapped environments
See the details
14:00
Main Stage
No API, no problem? Computer-use agents on legacy systems
See the details
14:30
Main Stage
Panel | Building Eval Pipelines That Actually Catch Regressions
Jeffrey Pincus, Data Science Manager | Syndication Insights, Comcast
See the details
15:00
Networking & exhibition
Coffee break
See the details
15:30
Main Stage
Supervisor, handoff or shared state: Multi-agent architecture patterns that survive production
See the details
16:00
Main Stage
Grading the trajectory, not the answer: Evals for multi-step agents
See the details
16:30
Networking & exhibition
Networking drinks
See the details
What's on
Main Stage
Networking & exhibition
January 28
January 28
January 28
08:00
Networking & exhibition
Registration & welcome breakfast
See the details
09:00
Main Stage
Crash, resume, undo: Durable execution for long-running agents
Patrick Falvey, Member of Technical Staff, OpenAI
Eric Koch, Member of Technical Staff, OpenAI
See the details
09:30
Main Stage
Every agent needs an ID badge: Scoped identity and delegated auth for agents and MCP
See the details
10:00
Main Stage
The agent that ate the budget: Controlling token spend at runtime
See the details
10:30
Networking & exhibition
Coffee break
See the details
11:00
Main Stage
Panel | Inside the black box: Observability and debugging for autonomous agents
Nelson Claros, Data Engineering Manager, DoorDash
Isabela Reeves, Senior Machine Learning Engineer, Dollar General
Luis B., Director, AI & Data Science, Foot Locker
Magdalena Dwulit, Lead Delivery Manager, Enterprise Architecture & Data, Hilton
See the details
11:30
Main Stage
The agent that ate the budget: Controlling token spend at runtime
See the details
12:00
Main Stage
Panel | The oversight tax: How much review agentic AI actually needs
Lars McCarter, Head of AI, Privacy & Security Assurance, Amazon
Takunda Jora, Senior Data Scientist, Reddit
See the details
12:30
Networking & exhibition
Lunch break
See the details
13:30
Main Stage
Agents with no internet: Building agent stacks for air-gapped environments
See the details
14:00
Main Stage
No API, no problem? Computer-use agents on legacy systems
See the details
14:30
Main Stage
Panel | Building Eval Pipelines That Actually Catch Regressions
Jeffrey Pincus, Data Science Manager | Syndication Insights, Comcast
See the details
15:00
Networking & exhibition
Coffee break
See the details
15:30
Main Stage
Supervisor, handoff or shared state: Multi-agent architecture patterns that survive production
See the details
16:00
Main Stage
Grading the trajectory, not the answer: Evals for multi-step agents
See the details
16:30
Networking & exhibition
Networking drinks
See the details

Useful links

Contact us

Privacy

made with Acara

Join the conversation