mcp-and-agent-systems
MCP Is Not the Product, Operating Rules Around It Are
Protocols create possibility. Products are created by boundaries, permissions, evaluation, and task design.
2026-04-23 · makeyourAI.work
Tag
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mcp-and-agent-systems
Protocols create possibility. Products are created by boundaries, permissions, evaluation, and task design.
2026-04-23 · makeyourAI.work
mcp-and-agent-systems
The model should not be trusted simply because the prompt says to behave. Permissions belong to systems, not to wishes.
2026-04-19 · makeyourAI.work
ai-engineering-fundamentals
A user story tells you what the person wants. An AI product spec must also describe how the system behaves when probability does not cooperate.
2026-04-16 · makeyourAI.work
prompting-and-llm-interfaces
Routing between models is useful only after you know what the task is, how quality is measured, and where the real variance comes from.
2026-04-15 · makeyourAI.work
retrieval-and-rag
A larger context window does not make irrelevant information harmless. It just makes expensive confusion easier to hide.
2026-04-14 · makeyourAI.work
mcp-and-agent-systems
An agent without evals is not a system with autonomy. It is a system with excuses.
2026-04-13 · makeyourAI.work
retrieval-and-rag
Many teams reach for RAG because it sounds like the modern answer, not because retrieval is actually the cleanest way to solve the product problem.
2026-04-09 · makeyourAI.work