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Every week, sharp insights on the infrastructure layer underneath your AI systems.

Most AI content tells you what’s possible. Context Shift tells you what breaks — and why.

We’re in the middle of an agent explosion. MCP is becoming the connective tissue of AI systems. Everyone is building tool integrations, shipping demos, wiring up LLMs to everything they can find. And almost nobody is talking about the layer that determines whether any of it actually works in production.

Context Shift is written from the trenches of building sixdegree.ai — a live system intelligence platform that delivers real-time business context to AI agents via MCP. Every week I’m in the code, solving the same problems you’re solving: tool discovery, context windows, entity resolution, agent orchestration.

What you’ll get every week:

Practitioner insights on MCP architecture, agent context management, and the infrastructure decisions that separate demos from production systems.

Hard-won lessons from building context-aware AI in the real world — what the spec doesn’t tell you, what actually breaks, and what the smartest teams are building right now.

No hype. No roundups. No “AI is changing everything” takes. Just the specific, unglamorous knowledge that comes from shipping systems that work beyond Tuesday.

This is the newsletter I wish existed when I started building in this space.

If you’re building agents, designing MCP servers, or architecting the context layer underneath your AI systems — this is for you.

Join engineers building AI that works beyond the demo.