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.

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