orchestrate-interview-readinesslisted

# Orchestrate Interview Readiness The AI judge interview is 30% of the Orchestrate score — the single largest weighted component, tied with code and output. It is scored by the same evidence-anchored philosophy HackerRank describes for Chakra generally: *"every score traces back to a specific, verbatim moment in the interview transcript,"* and vague or theoretical answers are explicitly scored as **not met** (a 1 on their 4-point scale), regardless of whether the underlying understanding is real. This means a candidate who deeply understands their system but answers in generalities will score *worse* than the rubric intends to reward, purely because the scorer can't anchor the answer to evidence. Interview prep here is not about knowing more — it's about **making what you already know legible to an evidence-anchored scorer.** ## The core failure mode: true but unscoreable answers **Weak** (accurate, unscoreable): > "We handled edge cases by making sure the prompt was robust and testing against different scenarios." **Strong** (same underlying work, made specific): > "We found three failure categories in testing: direct prompt injection like 'ignore previous instructions,' injection hidden inside retrieved KB documents rather than the ticket itself, and legitimate angry customers who got false-positive-refused by an early over-aggressive filter. We fixed the third by removing keyword-based detection entirely and switching to structural delimiting instead — that's the chan