I built the tool .. but forgot the skill..
Building effective AI tools for telemetry analysis requires more than access to data and dashboards. The quality of questions asked and critical evaluation of AI responses are the real limiting factors in diagnosing performance issues.
"AI scales your thinking.. good AND bad. So if your team was bad at asking questions before… well. Did we solve anything?"
Key points
- Having access to telemetry, dashboards and AI does not fix the real bottleneck: asking good questions.
- BC Telemetry Buddy amplifies the quality of the input, so vague questions get vague but confident answers.
- AI analysis looks authoritative even when it is wrong, so users need enough telemetry knowledge to challenge it and ask for proof.
- The author wonders whether BC Telemetry Buddy could suggest better questions and ask users to validate its assumptions, but leaves this as an open idea.
Quotes
- “AI scales your thinking.. good AND bad. So if your team was bad at asking questions before… well. Did we solve anything?” (Highlights the fundamental limitation that AI amplifies existing thinking patterns without automatically improving problem-solving capability)
Context
- Features: BC Telemetry Buddy, Application Insights dashboards, KQL queries, AI analysis
Source: waldo’s blog, community blog. Summary, key points and quotes are derived (CONTENT-NOTICE.md); read the original for the full text.