---
title: "Always-on agents run production without the on-call tax"
category: "talks"
date: "2026-07-01"
time: "2:25pm-2:45pm"
track: "Agentic Engineering"
room: "Track 8"
speakers: ["Justin Smith"]
sourceLabels: ["Official conference schedule", "Public YouTube metadata"]
scheduleTrack: "Agentic Engineering"
scheduleRoom: "Track 8"
scheduleLabels: ["Agentic Engineering", "Track 8", "session", "confirmed"]
---
# Always-on agents run production without the on-call tax

## Conference Context
- Date/time: 2026-07-01 · 2:25pm-2:45pm
- Track/room: Agentic Engineering · Track 8
- Speaker(s): Justin Smith
- Session type/status: session · confirmed

- Track: Agentic Engineering
- Room: Track 8
- Session type: session
- Status: confirmed

## Session Description
Most production teams have the same problem. The work that keeps systems healthy- deployment checks, on-call handoffs, anomaly reviews- never makes it into a sprint. It falls to whoever has bandwidth, gets done inconsistently, and disappears when people are stretched thin. Background agents fix this by running that work on a schedule, using the same production context a senior engineer would, without waiting for someone to initiate it. Justin Smith, Founding Engineer at Resolve AI, walks through the architecture behind always-on agents, the use cases teams are starting with today, and what we have learned from running them in our production environment.

## Media Evidence
No related AI Engineer channel video found yet.

## 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
No linked video, transcript, or slide source has been attached yet.

### 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.

## Transcript Status
No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.

## People
- [[justin-smith]]

## Notes
- Pending transcript synthesis when an official recording or confirmed matching video is available.

## Synthesis
### Synthesized Breakdown
# Always-on agents run production without the on-call tax ## Conference Context - Date/time: 2026-07-01 · 2:25pm-2:45pm - Track/room: Agentic Engineering · Track 8 - Speaker(s): Justin Smith - Session type/status: session · confirmed - Track: Agentic Engineering - Room: Track 8 - Session type: session - Status: confirmed ## Session Description Most production teams have the same problem. The work that keeps systems healthy- deployment checks, on-call handoffs, anomaly reviews- never makes it into a sprint. It falls to whoever has bandwidth, gets done inconsistently, and disappears when people are stretched thin. Background agents fix this by running that work on a schedule, using the same production context a senior engineer would, without waiting for someone to initiate it.

### Speaker And Company Context
- [[justin-smith|Justin Smith]] — Founding Product Engineer at [[resolve-ai|Resolve AI]].

### Topics Covered
- Topic links are pending transcript-backed classification.

### Derived Links And Source Material

### 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.