Multi-tool agents, workflows, and orchestration patterns.
Powered by Claude Opus 4.5—understands meaning, not just keywords. Try “how do I configure Claude Code?”
Auto-advancing highlights for this topic.
6 of 6 parts
Why ESS replaced codenames with business names in production systems to reduce incident response time, simplify onboarding, and improve operational clarity.
Your agent fleet doesn't need a fancier orchestration framework — it needs one authoritative control plane, explicit failure boundaries, and a memory system you can actually trust.
Silent fallbacks hide real failures in agent systems. Here's how explicit failure boundaries prevent split-brain behavior and improve operator trust.
Apple's M5 Pro and Max chips are tempting, but upgrading hardware before rebuilding your agent platform's control plane just accelerates a brittle system. Here's why we're choosing kernel-first.
The M5 may improve local AI inference, but for agent platforms the smarter move is stabilizing the kernel first, then scaling hardware in phases.
Apple's M5 Pro and M5 Max improve local AI throughput, but better silicon only helps agent platforms with dependable scheduling, observability, and control-plane authority already in place.
GPT-6 Astra's context window is 1,050,000 tokens, but crossing 272,000 on input reprices the entire request, not the overage. What that does to agent budgets, and how to design around it.
The June LTS had its final release and the 9.x line turned sub-agent orchestration on by default. How to choose, what actually changed, and the rebuild step that wastes an afternoon when you skip it.
Learn how MCP Tasks decouple long-running agent work from blocking tool calls with polling, subscriptions, state management, and production safeguards.
Learn practical OAuth 2.1 token lifecycle patterns for MCP agent systems, including rotation, delegation, DPoP, and enterprise IdP integration.
Get practical AI insights delivered to your inbox or schedule a consultation to discuss your AI strategy.
