Technology
Cloudflare, MCP, AI agents and infrastructure.
Who Authorized the Work Is Not Where It Ran
Why consequential agent workflows need separate evidence for workload identity, execution environment and human business acceptance.
Make Multi-Agent Stage Boundaries Explicit and Restartable
A recoverable agent workflow needs more than a completion message: each stage should declare its dependencies, prove its artifact, and specify when the next stage may begin or the plan must be restarted.
When an AI Recommendation Changes, You Need More Than a New Answer
AI-assisted planning becomes easier to trust when a changed recommendation can be traced to the source, the constraint, or the execution path that changed.
Before You Add an Agent, Pass the Architecture Gate
Multi-agent work is an operating mode to test, not a default upgrade. Start with a single-agent baseline, classify the task, choose the simplest topology that fits, and make every handoff reviewable before you scale collaboration.