From Chatbots to Agents: How Reducto builds for Agent Experience to Enable Real Work
Official Schedule Context
- Date/time: 2026-06-29 · 3:45pm-4:05pm
- Track/room: track TBD · Expo Stage 2 NW
- Speaker(s): Abhi Arya
- Session type/status: session · confirmed
Official Description
Many agent demos work. Most agent systems in production don't. The gap usually isn't the model or
the tools. It's everything in between: how context gets structured, how multi-step tasks stay on
track, how you handle the edge cases that only show up when real scenarios from real customers hit
your pipeline. At https://reducto.ai/, we've spent the last couple of months building agent-first
workflows for some of the most document-heavy industries out there. We've hit most of the failure
modes you're probably hitting too. This talk shares what we've learned, from how to think about
Agent Experience (AX) as a design layer, to the specific decisions that make complex workflows
actually reliable in production. You'll walk away with tactical approaches to structuring context,
model guidance, designing recoverable workflows, and building the feedback loops that let your
system improve over time without a full rebuild.
Related YouTube Video
No related AI Engineer channel video found yet.
Transcript Status
No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.
People
Notes
- Pending transcript synthesis when an official recording or confirmed matching video is available.