Temporal positions itself as a durable workflow orchestration platform for building reliable AI applications and agents. It handles common pain points like LLM rate limiting, retries, state management, and failure recovery so developers can focus on business logic. Key features include workflows-as-code in Python, human-in-the-loop support, strong observability, and automatic self-healing. Use cases include AI agents, MCP tool integration, RAG pipelines, and context engineering. Replit and Retool are cited as customers who used Temporal to ship AI features faster with smaller teams.