· Prakash Natarajan · Reliability
AI Agent Observability Tools: What the Lists Skip
AI agent observability tools get compared on tracing and eval features. Here is the checklist that matters once your agent has its own paying customers.
Tag: ai agent reliability
· Prakash Natarajan · ReliabilityAI Agent Memory: What Breaks and How to Test It
AI agent memory lets an agent recall facts across sessions, but a shared memory store leaks between tenants and fails quietly. What to store, drop, and test before it reaches a customer.
· Prakash Natarajan · ReliabilityPrompt Injection Testing for Tool-Calling Agents
Prompt injection testing for AI agents has to check tool calls and tenant boundaries, not just chat replies. A concrete test method with real examples.
· Prakash Natarajan · ReliabilityAI Agent Observability: What to Trace First
AI agent observability means tracing every tool call and model call, then turning those traces into numbers your own customers can see, tenant by tenant.
· Prakash Natarajan · ReliabilityDeflection Rate, Explained: Formula and Benchmarks
Deflection rate can look great and still hide a broken support product. The formula, real benchmarks, and the cost-per-resolution number that matters.
· Prakash Natarajan · ReliabilityAI Agent Testing: What to Check Before Customers Do
AI agent testing catches tool failures and bad outputs before they land in the deflection and cost numbers you report to customers. Here is what to test first, with real failure examples.