AI System Design
Real-world AI system design challenges with architecture diagrams, clarifying questions, component breakdowns, and follow-up Q&A - structured for a 1-hour interview.
AIOps Incident-Response Agent
Design an agent that receives production alerts, investigates root cause, and executes or proposes a fix - without making things worse.
Study challengeEnterprise Knowledge Agent
Build a permission-aware Q&A assistant over internal docs (Confluence, Drive, Jira, Slack) - users only see answers from docs they're allowed to read.
Study challengeIntelligent Document Processing
Design an agent that ingests invoices and claims, extracts structured data with LLMs, validates against business rules, and pushes to downstream ERP systems.
Study challengeDeep Research Agent
Design an agent that decomposes complex queries into sub-questions, searches the web in parallel, and produces faithfully cited synthesis reports.
Study challengeReal-Time Voice Agent
Design a low-latency speech-to-speech conversational agent with streaming ASR, LLM, TTS, and barge-in support targeting sub-1s perceived response time.
Study challenge