LAYER 4 · APPLIED AI · STAGE 4
LLM evals for FDEs
Quick answer
Fixed test sets and scoring that show whether an AI system is good enough. Without evals you cannot tell whether a change helped, or sign off a deployment.
Practise it
- 1. Build a 50-example eval set from real inputs
- 2. Score outputs with rules and a model judge
- 3. Gate a release on the eval result
Where it sits
Stage 4 of the roadmap: Applied AI. You can build an LLM feature on private data and prove it works.
Field problems
Answer HR policy questions with RAG over 400 PDFs [ MEDIUM ]Build an eval harness for a refund-approval agent [ HARD ]Portfolio projects
Contract clause extractor with evalsMulti-agent workflow for finance opsRegression eval platform for promptsField packs
P2: RAG over enterprise documentsA gap skill for: sres, prompt engineers, solutions engineers