Archive
When MCP earns its overhead, and when a direct API is better
A clean connector does not make a reliable agent
Tools, resources and prompts are not interchangeable
Where your MCP server runs is a production decision
What the MCP protocol actually standardises
Day 60: From model demos to mission-ready AI systems
Day 59: Why production AI is coordinated infrastructure
Day 58: Why governance belongs in the architecture
Day 57: Why retrieved content must stay untrusted
Day 56: Why evaluating the model is not enough
Day 55: Why observability is not optional for AI systems
Day 54: Why multi-agent systems need decision rules
Day 53: Why handoffs need contracts
Day 52: Why shared memory becomes a permission problem
Day 51: Why agents need a shared language
Day 50: Why role design matters more than agent count
Day 49: When decentralized agent behavior makes sense
Day 48: Why AI debate needs a reliable judge
Day 47: Why shared state needs structure and attribution
Day 46: Why peer agents need protocols, not vibes
Day 45: Why pipelines make AI handoffs inspectable
Day 44: Why dynamic dispatch needs ownership rules
Day 43: When hierarchy helps multi-agent work scale
Day 42: Why supervisor agents help and where they bottleneck