Featured
Introducing SixDegree - The Context Layer for Enterprise AI
Introducing SixDegree - the context layer for enterprise AI. Business is about relationships. Now AI can reason over them.
AIMCPPlatform Engineering
Craig Tracey
sixdegree
Thinking in Relationships
Your RAG Passed Every Test and Failed Every User
Eval overfitting is real and underdiagnosed. Most RAG systems are built on a flat, static, insider-authored approximation of organizational knowledge. They don't have a model of the organization. They have documents about it.
AIContext
Craig Tracey
Building AI Agents: The Fundamentals
Twelve rules for building AI agents that actually work. What agents are, how the agentic loop works, and the mental models that matter.
AIAgentsPlatform Engineering
Craig Tracey
We Gave LLMs 150 Tools: Here's What Broke.
MCP tool overload is real. We benchmarked six LLMs with 25 to 150 MCP tools and measured accuracy degradation, latency spikes, and hard API limits. The cheapest model won.
AgentsMCP
Craig Tracey
MCP vs CLI: You're Asking the Wrong Question
The debate between MCP and CLI for agent tooling misses the point. The real question is which mode you're building for, and where the actual token costs hide.
MCP
Craig Tracey
Internal Developer Portals vs Context Layers
IDPs were built for humans browsing catalogs. AI agents need something different: queryable relationships, real-time state, and cross-system reasoning. Here's why IDPs can't close the gap.
Platform EngineeringAgentsContext
Craig Tracey
a16z Just Described What We've Been Building
Andreessen Horowitz published their thesis on why data agents need a context layer. Canonical entities, identity resolution, tribal knowledge, governance. We've been building exactly this.
ContextAgents
Craig Tracey