AppliedAIPrep logoAppliedAI/Prep
← System Design for AI in Production / 94
expertOpenAIAnthropicMicrosoft

Design an agentic workflow platform where users compose LLM agents that call tools and run for minutes.

Long-running agents that loop, call tools, and spawn sub-tasks need durable execution, not a single request handler. Learn how to checkpoint state, recover from failures, bound runaway loops, and observe every step a non-deterministic agent takes.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Long-running agents that loop, call tools, and spawn sub-tasks need durable execution, not a single request handler. Learn how to checkpoint state, recover from failures, bound runaway loops, and observe every step a non-deterministic agent takes.

Unlock the other 750 answers · ₹2,000 / $25Your progress and mastery stay saved · 6 months · one payment · no auto-renew
UP NEXT ON YOUR JOURNEY
Next in this trackDesign an A/B testing platform for LLM features (prompts, models, retrieval) with trustworthy metrics.Next in this trackDesign a RAG-as-a-service platform that lets teams build retrieval-augmented apps over their own data.Next in this trackDesign a real-time speech translation system (speak in one language, hear another) with low latency.
DISCUSSION · 0

No comments yet — be the first to share your approach.