01.08

Attribute every failure to a layer

Place every AI failure in the model, the context, the harness, or the surface, then fix the cheapest layer that owns it, the diagnostic reflex the whole course reuses.

• Making AI Product Decisions
• 12 min
• Free

Who's hiring for this skill

35 companies have live AI-PM roles that ask for skills taught in this lesson.

• Anthropic
• Glean
• Datadog
• Brex
• Coursera
• Gusto
• Fireworks
• Grafana
• Speak
• Scale AI
• Nebius
• GitLab
• Snowflake
• Stripe
• Okta
• Databricks
• Asana
• CoreWeave
• JetBrains
• Mercor
• Reddit
• Temporal
• Cohere
• Lovable
• Vercel
• Calendly
• Lightning Ai
• Luma AI
• Arize AI
• Drata
• Eve
• LangChain
• Make
• Render
• Weaviate

Concepts in this subchapter

• Failure Taxonomy
• Harness
• System Prompt
• Retrieval Augmented Generation
• Context Rot
• Tool Call Accuracy
• Prompt Engineering
• Fine-Tuning
• Hallucination
• LLM Trace

Source video: Evals, error analysis, and better prompts: A systematic approach to improving your AI products, How I AI.

Keep going

• Previous: 01.07 Read a benchmark honestlyFree
• Next: 01.09 INTEGRATION CASEFree
• 01 Making AI Product Decisions9 lessons
• The full curriculum
• AI PM Knowledge Graph219 concepts