Stop failing on the path to production: A better way for agentic platforms
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Building agentic platforms that reach production requires more than just connecting LLMs to tools. Key requirements include durable execution, user-level data security (OAuth-aware MCP servers), full auditability of agent decisions, visibility into running processes, and avoiding lock-in to specific harnesses or model providers. Temporal is presented as a foundation that addresses these needs via Workflow Executions, Activities, Signals, Queries, and Updates. The post distinguishes between desktop agents and deployed agents, advocating for opinionated, infrastructure-hosted agents with custom guardrails and security profiles for business workflows. AI platform teams must also drive adoption and organizational trust alongside technical implementation.
