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