Ai product management

Sep 29, 2026

Where AI products go next: voice, agents, and self-driving software | Tara Sesha and Nan Yu (OpenAI)

A live talk from the Lenny and Friends Summit with OpenAI's Tara Seshan and Nan Yu and host Claire Vo on building AI products when both technology and user expectations change rapidly. Topics include shipping imperfect features (the ChatGPT "toggle"), the 2 to 3 month model-capability horizon, enterprise absorption limits, single versus multi-agent design, platform layering with computer use as a fallback, working with research through evals, direct user relationships, and predictions for voice, proactive agents, and hardware.

Jul 28, 2026

How Forward Deployed Engineering is done at Decagon — Sunny Rekhi

Sunny Rekhi, CTO of Forward Deployed Engineering at Decagon, explains how his company builds and scales AI customer service agents. He delves into the dual nature of forward-deployed work – agent configuration and product development driven by customer asks – and how this role blends with core product engineering. The discussion covers critical strategies for scaling from 50 to 500 employees, emphasizing restraint, early success definition, industry specialization, and the ethos of turning custom solutions into self-serve, reusable product features.

Apr 27, 2026

It's 2026, and We're Still Talking Evals

Maggie Konstanty, AI Product Manager at Prosus, provides a candid look into the realities of LLM evaluation in production. She argues that standard metrics like accuracy are misleading and advocates for a culture of continuous, goal-oriented evaluation focused on deep failure analysis and understanding real user behavior, asserting that mature teams inevitably build custom tooling to meet their specific needs.