From Demo to Production: Building Reliable AI Agents | Hands-On Workshop

Your agent works. Until it doesn't.
The demo looked great. The prototype passed every test. Then it hit real users and everything fell apart. Wrong answers. Hallucinated tool calls. Edge cases nobody anticipated. This isn't a skill gap. It's an infrastructure gap. Almost every team shipping AI agents runs into it.
This workshop exists to address it.
In three hours, you'll take a raw AI agent through simulation, evaluation, and optimization, using Workato's Agent Studio to build and Future AGI's open-source libraries to harden it for production. You’ll leave with an agent you can use daily and concepts you can apply in your work.
What You'll Build: Three stages: generate hundreds of adversarial test conversations, run structured evals measuring accuracy, hallucination, and tool-calling correctness, then turn the results into targeted fixes. No slide-heavy theory, you'll spend the night actually building.
Who This Is For: Engineers, product managers, and technical leads with 3+ years of experience. Whether you're already shipping agents or getting serious about it, this applies directly to your stack.
What to Bring Laptop with Python 3.10+ installed. Workato and Future AGI access provided on the day.
📅 May 18 · 5:00–8:30 PM · San Francisco · Free · Limited to 30–50 engineers
Spots are limited. Register now to confirm your seat.

Agenda
5:00 PM: Doors open, networking, snacks, get settled
5:30 PM: Welcome & intro: the reliability gap in production AI
5:50 PM: Stage 1, Simulate: generating realistic test conversations at scale
6:30 PM: Stage 2, Evaluate: structured evals beyond "does it respond"
7:15 PM: Stage 3, Optimize: closing the loop from failure to fix
8:00 PM: Networking, snacks, Q&A, and wrap up

The Tools
You'll build your agent in Workato's Agent Studio, then run the full reliability loop — simulation, evaluation, optimization, observability, and guardrails — on Future AGI's open-source libraries. You'll leave with the code, the tools already configured on your machine, and a workflow you can take to any agent stack.

About Workato
Workato is the Enterprise MCP company, providing the connective layer that gives AI agents secure, governed access to enterprise systems and data. Built on a decade of integration expertise spanning 14,000+ applications, Workato's platform enables organizations to move from simple automation to agentic AI that can reason, act, and orchestrate work across the entire business. You can explore Workato's end-to-end capabilities in our developer sandbox here.