Guests

Lawrence Jones, Founding Engineer at Incident.io
Ed Dean Product Lead for AI at Incident.io

Key Takeaways

AI’s biggest impact comes from compressing time—identifying causes minutes instead of hours.
Retrieval-augmented reasoning still benefits from simplicity: deterministic tagging and re-ranking often beat complex vector setups.
Post-incident “time travel” evals let teams score AI accuracy after they know what really happened.
Building trust in AI isn’t just about precision—it’s about showing reasoning and uncertainty in ways humans understand.

Mentioned Tools & Concepts

Slack as the interface for human-AI collaboration
PGVector and Postgres for retrieval experiments
RAG (Retrieval-Augmented Generation)
Multi-agent orchestration
“AI as your company’s immune system”

Chapters 00:00 Meet the Founders: Lawrence and Ed 00:41 Introduction to Incident.io 01:25 Evolution of Incident.io Products 02:14 Understanding SRE and Its Importance 04:01 Real-World Incident Management 05:51 The Role of AI in Incident Management 10:12 Challenges and Innovations in AI SRE 12:14 Prototyping and Iterating AI Solutions 16:25 Refining Retrieval Strategies 21:52 Balancing AI and Human Interaction 32:06 User Experience and Trust in AI Systems 36:08 Interactive Slack Integration 37:08 Understanding the AI Investigation Process 37:50 Parallel Checks and Data Sources 38:35 Building Hypotheses and Refining Findings 40:09 Human-Agent Collaboration 49:23 Evaluating AI Effectiveness a01:04:13 Future Developments and Integrations

Isaiah 12: On Enjoying Your Broccolini as You Read the Bible (Ep. 163)