From POC to Production: Shipping AI Features
From POC to production: why AI demos stall, a four-gate sequence for shipping AI features safely, and the signals that mean you should kill the project instead.
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The Agent OS Blog
Research, playbooks and field notes on building, deploying and scaling autonomous AI agents. Written by the team that runs them in production.
Building Operator Dashboards for AI Systems
Operator dashboards for AI systems: the four signal layers to instrument, what belongs on the screen, and the anti-patterns that turn a dashboard into wallpaper.
Read articleAI Guardrails and Human-in-the-Loop Design
AI guardrails explained: a three-layer design for production AI agents — scope permissions, validate actions, and route the decisions that need a person.
Read articlePredictive Maintenance with AI Agents
Predictive maintenance with AI agents: what the agent layer actually adds, a three-step build sequence, an illustrative rollout, and when a workflow fix wins.
Read articleAI-Powered Quality Control in Manufacturing
AI-powered quality control in manufacturing: what it changes, the three applications that pay for themselves, an illustrative pilot, and when not to build it.
Read articleDigital Twin Technology for Manufacturing
Digital twin technology for manufacturing explained: what a twin really is, a three-step build approach, an illustrative example, and when not to build one.
Read articleIndustry 4.0 Smart Factory Automation Guide
A practical smart factory automation guide: how to scope a first phase, the four layers to build in order, and when a simpler control fix wins instead.
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LLM Ops and Production AI Pipelines
LLMOps guide — move an LLM feature from proof of concept to a reliable, cost-controlled production AI pipeline with retrieval, evaluation, and monitoring.
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AI Infrastructure Setup for Startups
AI infrastructure for startups explained: a lean five-layer stack — model access, retrieval, orchestration, observability, and security — you can ship on.
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Micro SaaS Ideas Powered by AI Agents
Ten micro SaaS ideas powered by AI agents, plus how to choose one, when to use an agent vs plain automation, and the risks worth managing.
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