How to build, run and watch AI agents. Guides, engineering deep dives and product updates from the Rerun team.
Self-hosted AI agents take a weekend to stand up. Operating them takes a team. A day-2 cost breakdown of uptime, containers, scheduling, state, observability, secrets and approvals, plus the self-hosted vs managed vs hybrid decision table.
An AI employee is an agent that owns a job, not a chatbot you prompt. What they are, the six runtime primitives they need, the eight roles they run today, what they cost, and how to deploy one this week.
LangGraph vs AutoGen in 2026 is not an even fight: AutoGen is in maintenance mode and LangGraph 1.0 is the live production choice. A straight build-vs-migrate guide.
Enterprise AI agents fail on operations, not intelligence. A practical guide to what enterprise-grade requires, why 40% of projects get canceled, and how to deploy agents you can watch, govern, and trust.
Agentic AI is AI that acts, not just answers. It plans, uses tools, and executes goals on its own. A clear guide to how it works, real examples, and the risks.
Computer use agents operate your whole desktop, mouse, keyboard, any app. How they work, the 2026 landscape (Claude, Operator, Mariner, Copilot), and how to run one safely.
The best n8n alternatives in 2026, sorted by the switch you are actually making: open-source, cheaper, more AI-native, or governed AI agents. Honest picks, compared.
AI agents already run three e-commerce workflows: customer support, order operations, and merchandising. Here is what they automate, and how to deploy them reliably with human-in-the-loop control instead of shipping another abandoned pilot.
Browser agents are AI systems that operate a real web browser to reach a goal you describe in plain language. Here is how they work, what they can and cannot do, and how to run one safely when it acts on the web.
AI agent infrastructure is the runtime and serving stack that keeps agents safe in production. The layers, the control plane, and why 40% of projects fail.
LangChain vs LangGraph, explained by engineers: they're from the same company. Learn which layer your AI agent needs in 2026, when to use both, and how to run either safely in production.
AI agents can triage claims, support underwriting, and flag fraud, but insurance is a high-risk, regulated vertical. Here are the real use cases and the governance-first architecture (human-in-the-loop approvals, least privilege, monitoring, audit trails) that make them safe to deploy.
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