---
title: >-
  Lifestyles of the AI-Native: Voice-coding, agent skills, hooks and scheduled
  tasks
category: talks
date: '2026-06-29'
time: '4:30pm-5:30pm'
track: Workshops Day 1
room: Track 7
speakers:
  - Nick Nisi
  - Zack Proser
sourceLabels:
  - Official conference schedule
  - Public YouTube metadata
last_auto_summarized: '2026-07-06T19:01:18.863Z'
scheduleTrack: "Workshops Day 1"
scheduleRoom: "Track 7"
scheduleLabels: ["Workshops Day 1", "Track 7", "workshop", "confirmed"]
---
# Lifestyles of the AI-Native: Voice-coding, agent skills, hooks and scheduled tasks

## Conference Context
- Date/time: 2026-06-29 · 4:30pm-5:30pm
- Track/room: Workshops Day 1 · Track 7
- Speaker(s): Nick Nisi, Zack Proser
- Session type/status: workshop · confirmed

- Track: Workshops Day 1
- Room: Track 7
- Session type: workshop
- Status: confirmed

## Session Description
Most engineers are bolting AI onto a workflow that was designed for a pre-AI world. The result is a faster version of the same grind. This talk is about the other path: rebuilding the daily practice of software engineering from the ground up, around what agents are actually good at. Two senior practitioners from WorkOS will walk through how we actually work now as AI-native engineers — not in the aspirational sense, but the literal one. We think out loud and voice-code instead of typing our way to clarity. We package recurring expertise into agent skills so we're not re-explaining context every session. We wire up hooks that fire on the events we care about, and hand off scheduled tasks to agents that run overnight, while we're away from the keyboard, or otherwise off the clock. The throughline is intentional design: deciding what a human should hold onto and what should be delegated, then building the machinery to make that real. Because there are two of us, you'll see more than one set of habits — where our setups converge on the same patterns, and where they diverge based on how each of us thinks and works. The pitch isn't "do more." It's that an AI-native setup, designed deliberately, buys back attention and protects you from the burnout that comes from treating agents as a turbocharger for an old loop. Attendees will leave with a concrete mental model for voice-driven development, a pattern for authoring reusable agent skills, and working examples of hooks and scheduled automations they can adapt the same week.

## Media Evidence
[Your Attention Is the Bottleneck, Not Your Agents — Zack Proser, WorkOS](https://www.youtube.com/watch?v=so9l_MwS2yg) (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions).

- Source video: `youtube-so9l_MwS2yg`
- Slide deck: [[youtube-so9l_MwS2yg-reconstructed-slides|Reconstructed Slides: Your Attention Is the Bottleneck, Not Your Agents — Zack Proser, WorkOS]] — 4 visible slide image(s); 4 HTML recreation(s).
![[assets/reconstructed-slides/so9l_MwS2yg/slide-002.jpg]]
![[assets/reconstructed-slides/so9l_MwS2yg/slide-003.jpg]]
![[assets/reconstructed-slides/so9l_MwS2yg/slide-004.jpg]]
- Additional slide evidence: [[youtube-so9l_MwS2yg-slides|Slides: Your Attention Is the Bottleneck, Not Your Agents — Zack Proser, WorkOS]]
- Slide-derived themes for `youtube-so9l_MwS2yg`: bottleneck, imagining, recommend, finding, developer, balance.

## Evidence Graph
This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

### Media Signals
- `youtube-so9l_MwS2yg` — 3 slide-derived text signals
- Slide-derived themes for `youtube-so9l_MwS2yg`: bottleneck, imagining, recommend, finding, developer, balance.
- Evidence links for `youtube-so9l_MwS2yg`: [[youtube-so9l_MwS2yg]], [[youtube-so9l_MwS2yg-slides]], [[youtube-so9l_MwS2yg-reconstructed-slides]]

### Agent Reading Notes
Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.

## Summary
This confirmed Workshop Day 1 session frames AI-native engineering as a redesign of the working day, not just a faster editor loop. Nick Nisi and Zack Proser are both connected to WorkOS, which makes the workshop less a generic tooling survey than a practitioner account of how developer-experience, TypeScript tooling, applied AI, and developer education habits can be reorganized around agents. The official description emphasizes four concrete workflow primitives: voice-coding as a way to externalize intent before implementation, reusable agent skills as packaged context, event-driven hooks for moments that deserve automated intervention, and scheduled tasks for work that can run while the engineer is away from the keyboard.

The speaker context sharpens the division of labor. Nisi's profile points toward developer experience, TypeScript, and community teaching through JS Party and NebraskaJS, so his side of the session likely grounds the topic in day-to-day engineering ergonomics: how prompts, voice notes, tools, and repo conventions become repeatable habits. Proser's WorkOS applied-AI background, earlier developer-education role, and prior infrastructure and AI experience at Pinecone and Gruntwork connect the same practices to agent-system design, retrieval-heavy context work, and teaching engineers how to operate new workflows without turning them into brittle rituals.

The linked supporting video and extracted slide page, “Your Attention Is the Bottleneck, Not Your Agents,” are marked as related context rather than a confirmed recording of this exact workshop. Even with that caveat, they reinforce the workshop's central claim: the limiting resource is not agent throughput but human attention, judgment, and handoff quality. The adjacent wiki resources also place this session in a broader voice-first cluster, including “Voice In, Visuals Out,” but this page's strongest evidence remains the official schedule description plus the WorkOS speaker and slide connections. Treat the synthesis here as grounded in those linked sources, with transcript-level claims deferred until an exact recording or confirmed transcript is available.

## Transcript Status
Related video transcript availability: English auto-captions. Treat this as supporting context, not a recording of this exact scheduled session unless later confirmed. Not fetched yet.

## People
- [[nick-nisi]]
- [[zack-proser]]

## Supporting Slides
- [[youtube-so9l_MwS2yg-slides]] — extracted from the related public AI Engineer video.

## Synthesis
### Synthesized Breakdown
# Lifestyles of the AI-Native: Voice-coding, agent skills, hooks and scheduled tasks ## Conference Context - Date/time: 2026-06-29 · 4:30pm-5:30pm - Track/room: Workshops Day 1 · Track 7 - Speaker(s): Nick Nisi, Zack Proser - Session type/status: workshop · confirmed - Track: Workshops Day 1 - Room: Track 7 - Session type: workshop - Status: confirmed ## Session Description Most engineers are bolting AI onto a workflow that was designed for a pre-AI world. The result is a faster version of the same grind. This talk is about the other path: rebuilding the daily practice of software engineering from the ground up, around what agents are actually good at. Two senior practitioners from WorkOS will walk through how we actually work now as AI-native engineers — not in the aspirational sense, but the literal one.

### Speaker And Company Context
- No speaker profile is attached in the official schedule data.

### Topics Covered
- [[agent-security]]
- [[agentic-search]]
- [[coding-agents]]

### Derived Links And Source Material
- [[youtube-so9l_MwS2yg]] — related YouTube source page.
- [[youtube-so9l_MwS2yg-slides]] — slide evidence.
- [[youtube-so9l_MwS2yg-reconstructed-slides]] — slide evidence.

### Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.

### Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.
