Guides, engineering and product updates
Blog & Updates
How to build, run and watch Coworkers: practical guides, engineering deep dives and product updates from the team behind Rerun.
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Engineering articles.
What Is AI-Native? Architecture, Products, and Real-World ExamplesA practical definition of AI-native, the architecture behind it, real examples, and a 10-point test for separating genuine AI-native products from AI add-ons.
MCP vs A2A: Key Differences, Architecture, and When to Use EachCompare MCP vs A2A across architecture, discovery, task state, security, and use cases, then learn when to use MCP, A2A, both, or neither.
AI Email Agents: How to Automate Triage, Drafting, Follow-Ups and Your InboxLearn how AI email agents automate triage, drafting, sending, and follow-ups with risk-based approvals, observability, and secure inbox operations.
AI Agent APIs: How to Connect, Control, and Run Agents ProgrammaticallyA practical, vendor-neutral guide to the API contract behind controllable agent runs, including lifecycle state, events, approvals, cancellation, observability, and auditability.
Context Engineering for AI Agents: Patterns, Tools, and Best PracticesLearn how to engineer the instructions, state, retrieval, memory, tools, and evaluation that reliable AI agents need at runtime.
AI Agents for Procurement: Sourcing, Vendor Analysis and Purchase OrdersA practical guide to using AI agents for supplier sourcing, vendor analysis, RFQs and purchase orders with bounded autonomy and human approval.
RPA vs AI: Differences, Use Cases and When to Combine ThemCompare RPA vs AI across execution, decisions, costs, risks, and real use cases. Learn when to choose one, combine both, or use an API instead.
Multi-Agent Systems: Architecture, Patterns, and Real-World ExamplesA practical guide to multi-agent system architecture, patterns, examples, failure modes, and the controls required to run multiple AI agents safely.
How to Choose an AI Agent Development Company: A Practical Buyer’s GuideA practical buyer’s guide to evaluating AI agent development companies on production evidence, security, testing, integrations, operations, and total cost.
Agentic OS: What an Agent Operating System Actually IsAn agentic OS is a real layer of responsibility, not a product you can buy. Here is where the operating system metaphor holds, the four places it breaks, and the seven questions to ask any vendor claiming to be one.
Self-Hosted AI Agents: What It Actually Costs to Own the RuntimeSelf-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.
AI Agent Infrastructure: The Runtime & Serving StackAI 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.2,000+ businesses run on Rerun
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