How do you know when an AI agent is reliable enough for production, and where do you look when it fails?
Join AAIF Community London, Braintrust and Modal for a hands-on technical workshop on evaluating agent behaviour, investigating traces and improving reliability.
Bring your laptop.
What you'll work through
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Build evals that identify agent failures
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Investigate agent behaviour through traces
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Run eval workloads in Modal serverless sandboxes
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Measure and improve agent quality with Braintrust
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Explore how evals fit into production agent development and reliability workflows
The emphasis is on hands-on implementation, debugging and evaluation practice.
Agenda
18:00 - Doors, registration, canapés & networking18:30 - Welcome from AAIF London18:40 - Technical introduction from Braintrust & Modal19:00 - Hands-on workshop20:30 - Food, drinks & networking22:00 - Close
Who should come?
For senior engineers and technical practitioners working with AI agents, evals and production AI, including:
AI/ML engineers · Applied AI engineers · Research engineers · Agent developers · ML/platform engineers · Technical founders
AAIF London events are curated and registration approval is required.
About AAIF, Braintrust & Modal
Braintrust is an evaluation and observability platform for AI applications and agents.
Modal provides serverless infrastructure for AI and ML workloads.
AAIF Community London is part of the Agentic AI Foundation under the Linux Foundation, bringing together engineers and researchers working across agent infrastructure, interoperability, evaluation, developer tooling and production AI.
AAIF community events are technical, practitioner-led and vendor-neutral.
Registration & privacy
Capacity is limited.
For this workshop, registration email addresses may be shared with Braintrust and Modal solely to provision and operate the sandbox environments required for participation.
Attendee information will not be shared with event partners for marketing, sales outreach or lead generation without a separate, explicit opt-in.
By attending, you agree to the Linux Foundation Code of Conduct and Privacy Policy.