Building a remote MCP server on Cloudflare Workers
How to scope, design, and deploy a Model Context Protocol server that connects Claude to internal tools through a secure, authenticated endpoint.
MCPBlog.
Notes and step-by-step guides on how these systems actually get built. Written for people doing the work, not for search engines.
MCP agents and function calling: when to use each
How tool-calling agents differ from MCP-connected workflows, and where each pattern fits in internal AI systems.
MCPHow to run a workflow audit before you automate
Map inputs, decisions, tools, memory, outputs, review steps, and failure modes before choosing what to hand to an AI system.
StrategyThe three phases of AI deployment
A practical model for moving from workflow audit to pilot build to controlled rollout without forcing every engagement into the same timeline.
StrategyRAG evaluation for internal knowledge bases
How to measure retrieval quality, answer grounding, and failure modes before trusting a RAG system in production.
RAGContext engineering for large codebases
How coding agents get better when repo instructions, retrieval, dependency maps, and definitions of done are treated as infrastructure.
AgentsUsing AI for code review with judge agents
How to build a judge-model loop that reviews pull requests for correctness, style, and risk without replacing the human in the loop.
AgentsAI governance for small and mid-size businesses
A lightweight governance framework for teams that need policy, access controls, and audit trails without an enterprise compliance team.
StrategyLLM retrieval and grounded answers
How retrieval-augmented generation works in practice: chunking, embedding, retrieval ranking, and keeping answers tied to source documents.
RAGClaude Skills vs MCP: when to use each
Skills package how Claude should do something; MCP grants access to do it. A practical guide to choosing between the two and when you need both.
SkillsHow to write a SKILL.md that actually gets used
Why most Skills fail to trigger or bloat the context window, and the disciplines that make a Skill reliable: a sharp description, a lean body, and on-demand reference files.
SkillsNo tutorials match your search.
Industry field guide
Real Estate
A four-part guide to moving AI beyond chat and into the files, systems, and recurring work that commercial real estate teams rely on.
Download the field guide
Claude in CRE: Skills
Turn the underwriting steps your team repeats into reusable instructions Claude can follow consistently.
Read the field guide
Claude in CRE: Connectors
Connect Claude to the CRM, property systems, and local market data where the real work lives.
Read the field guide
Claude in CRE: Cowork
Let Claude work directly inside local files so underwriting models stop bouncing between tabs and downloads.
Read the field guide
Claude in CRE: Scheduled Tasks
Build recurring market and pipeline routines that run whether or not you are sitting at your computer.
Read the field guideRather not build it yourself?
These write-ups are the same methods we use on client work. If you would rather have it built and handed over, start with the call.
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