How Listen is building a system of AI Agents & subagents for specialized tasks | Florian Juengermann, CTO - Max Agency

Florian Juengermann is the co-founder and CTO of Listen, an AI startup that turns qualitative research across hundreds of interviews, surveys, and focus groups into structured, traceable insights. Listen's agents analyze responses at scale, and Florian has rearchitected the system multiple times to get there. In this conversation, he walks through the virtual table architecture at the core of their Research Agent, how small models run map-reduce classification across thousands of open-ended responses, and the self-reviewing feedback subagent that catches errors during long async runs.

We also discuss:

The three agents inside Listen's platform
How Listen rearchitected from a simple RAG bot to a multi-agent system multiple times
Why the PowerPoint subagent was completely rebuilt using Claude's code SDK
Contextual prompt engineering as an alternative to skills
How Listen keeps report numbers live as new interview responses come in
When to trigger the long-running agent vs. showing early results
What Florian looks for when hiring agent engineers

References:

Where to find Florian:

Where to find Harrison:

Where to find LangChain:

Send feedback or questions to [email protected]

Timestamps

00:00 Introduction

01:25 The three agents inside Listen's platform

03:15 Live chat vs. long async runs, and how Listen tunes for each

05:33 Under the hood of the Research Agent

06:37 Listen's virtual table architecture

07:34 How small models classify thousands of open-ended responses

10:05 Running code in a sandbox: how E2B fits in

11:52 Why Listen rebuilt the PowerPoint subagent from scratch

14:11 Contextual prompt engineering instead of skills

16:32 The feedback subagent that reviews its own reports

18:14 How Listen runs evals in production

19:47 Unexpected ways users push the agent to its limits

21:42 How many times Listen has rearchitected, and why

24:59 Trace observability: depth over breadth

26:10 Lessons from running Claude Code SDK inside E2B

27:42 Memory: what's solved and what isn't

29:10 The Composer agent UX: co-editing a document with AI

35:50 How Listen keeps report numbers live as new responses come in

43:47 What Listen looks for when hiring agent engineers

How Listen is building a system of AI Agents & subagents for specialized tasks | Florian Juengermann, CTO

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