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What if your next teammate was an AI coworker — one that could answer support tickets, process invoices, or even draft your next email — and your non-technical colleagues could teach it how to do those tasks themselves?
In this episode, host Teresa Torres talks with Seyna Diop (CPO), Job Nijenhuis (CTO & Co-founder), and Christos C. (Lead Design Engineer) of Neople, a company creating “digital coworkers” that blend the reliability of automation with the empathy and flexibility of AI.
They share how Neople evolved from simple response suggestions to fully autonomous customer service agents, the architecture that powers their conversational workflow builder, and how they designed eval loops that include their customers as part of the quality process.
You’ll learn how the team:
- Moved from “LLMs will solve everything” to finding the right balance between code, agents, and guardrails
- Designed evals that run in production to detect hallucinations before an email ever reaches a customer
- Helped non-technical users build automations conversationally — and taught them decomposition along the way
- Turned customers’ feedback loops into eval pipelines that improve product quality over time
It’s a fascinating look at how one startup is rethinking what it means to “work with AI” — not as a tool, but as a teammate.
Show Notes
Guests:
- Seyna Diop, Chief Product Officer, Neople
- Job Nijenhuis, CTO & Co-founder, Neople
- Christos C., Lead Design Engineer, Neople
Chapters:
00:00 Meet the Team: Introducing Neople’s Key Players
01:16 Understanding Neople’s Product: Digital Coworkers
03:25 The Origin Story: How Neople Came to Be
06:24 Customer Success: Real-World Applications of Neople
12:36 Evolution of Neople: From Suggestions to Automations
15:18 Integrations and Scaling: Making Neople Work Everywhere
20:33 Ensuring Quality: Feedback and Evaluation Mechanisms
37:13 Ensuring Quality in Customer Knowledge Bases
37:45 Visibility and Transparency in Neople Responses
39:42 Customer Feedback and Error Analysis
42:57 Technical Details of Knowledge Retrieval
49:15 Embedding Strategies and Document Types
57:06 Automation and Actions in Customer Support
01:06:37 Expanding Beyond Customer Support
01:11:02 Conclusion and Future Directions
Links & References:
- Neople.io – Learn more about Neople’s AI coworkers
- The Joy Lab – Neople’s community and podcast about AI and work
Full Transcript
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