Palestra
Curriculum/Observability & Platform Health/6.3 User-Facing Observability

6.3 User-Facing Observability

Design layered error presentation for Make's two audiences — raw stack traces for developers, AI-translated plain-language for builders — and the confidence gating and fix-confirmation patterns that prevent the LLM interpreter from modifying code on a wrong diagnosis.

🔒
Make Platform PM
A technical curriculum for Product Managers working on AI code-generation platforms — runtimes, preview environments, agent infrastructure, evals, observability, and extensibility.

Your balance: 0 ⚡

Or subscribe to Spark Pass for unlimited access

AI Fluency Platform

Evidence-based learning for the age of AI