How AI products come to life—straight from the builders themselves. In each episode, we dive deep into how teams spotted a customer problem, experimented with AI, prototyped solutions, and shipped real features. We dig into everything from workflows and agents to RAG and evaluation strategies, and explore how their products keep evolving. If you’re building with AI, these are the stories for you.
All content for Just Now Possible is the property of Teresa Torres and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
How AI products come to life—straight from the builders themselves. In each episode, we dive deep into how teams spotted a customer problem, experimented with AI, prototyped solutions, and shipped real features. We dig into everything from workflows and agents to RAG and evaluation strategies, and explore how their products keep evolving. If you’re building with AI, these are the stories for you.
When AI Becomes Your SRE: How Incident.io Is Automating Incident Response
Just Now Possible
1 hour 8 minutes
1 week ago
When AI Becomes Your SRE: How Incident.io Is Automating Incident Response
When your site goes down, every second counts. For years, Incident.io has helped engineering teams coordinate through chaos—getting the right people in the room, keeping stakeholders informed, and restoring order fast.
Now, they’re building something new: an AI SRE that can actually help diagnose and respond to incidents.
In this episode, Teresa Torres talks with Lawrence Jones (Founding Engineer) and Ed Dean (Product Lead for AI) about how their team is teaching AI to think like a site reliability engineer. They share how they went from simple prototypes that summarized incidents to a multi-agent system that forms hypotheses, tests them, and even drafts fixes—all from within Slack.
You’ll hear how they:
- Identify which parts of debugging can safely be automated
- Combine retrieval, tagging, and re-ranking to find relevant context fast
- Use post-incident “time travel” evals to measure how well their AI performed
- Balance human trust and AI confidence inside high-stakes workflows
This is a masterclass in designing AI systems that think, reason, and collaborate like expert teammates.
Just Now Possible
How AI products come to life—straight from the builders themselves. In each episode, we dive deep into how teams spotted a customer problem, experimented with AI, prototyped solutions, and shipped real features. We dig into everything from workflows and agents to RAG and evaluation strategies, and explore how their products keep evolving. If you’re building with AI, these are the stories for you.
