Claude Agent SDK: How to Build Production AI Agents
Learn how to take the Claude Agent SDK from prototype to production with sandboxing, durable sessions, permissions, observability, approvals, and recovery.
Blog & Updates
How to build, run and watch AI agents: practical guides, engineering deep dives and product updates from the team behind Rerun.
AI Agents for Education: Teaching, Support and Administration
Education agents should expand institutional capacity without inheriting institutional authority. Use cases across teaching, student support, and administration, three detailed workflows, an action matrix, FERPA and GDPR caveats, and a staged path from shadow mode to limited autonomy.
What Is AI-Native? Architecture, Products, and Real-World Examples
A 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 Each
Compare MCP vs A2A across architecture, discovery, task state, security, and use cases, then learn when to use MCP, A2A, both, or neither.
How to Start an AI Automation Agency in 2026: Services, Tools, and Pricing
A practical guide to choosing a niche, packaging services, pricing projects, winning clients, and operating AI automations safely after launch.
AI Email Agents: How to Automate Triage, Drafting, Follow-Ups and Your Inbox
Learn 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 Programmatically
A practical, vendor-neutral guide to the API contract behind controllable agent runs, including lifecycle state, events, approvals, cancellation, observability, and auditability.
10 Best AI Agent Platforms in 2026: Compared and Ranked
Most AI agent platform roundups compare frameworks, builders and runtimes as if they were the same purchase. We scored ten on one question: can it safely run real work after the demo?
Context Engineering for AI Agents: Patterns, Tools, and Best Practices
Learn 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 Orders
A practical guide to using AI agents for supplier sourcing, vendor analysis, RFQs and purchase orders with bounded autonomy and human approval.
AI Agents for Project Management: Tools, Workflows, and Use Cases
A practical guide to AI agents for project management, with six workflows, tool categories, safety controls, and a 30-day pilot plan.
RPA vs AI: Differences, Use Cases and When to Combine Them
Compare RPA vs AI across execution, decisions, costs, risks, and real use cases. Learn when to choose one, combine both, or use an API instead.
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