Claude
Why we build on Claude Claude is our default large language model for both delivery work and the products we ship. The reasons are practical rather than tribal: strong instruction-following on long, messy real-world…
MCP
The problem MCP solves An assistant that can only read what you paste into it is a toy. An assistant wired directly into production systems with broad credentials is a liability. Model Context Protocol…
RAG / Vector DB
Retrieval is what makes AI answers checkable Retrieval-augmented generation is the architecture we default to whenever accuracy matters more than creativity. Your approved content is indexed into a vector store; at query time the…
LangChain
When a workflow outgrows a single prompt Plenty of AI features are one question and one answer. The interesting ones are not: retrieve a record, decide which path applies, call a tool, check the…
Claude Code
What agentic coding actually changes A meaningful share of software work is mechanical rather than creative: upgrading a framework, writing tests for existing behaviour, renaming a concept across two hundred files, documenting an API,…
AI Evals & Observability
The control that decides whether AI survives production An evaluation suite is a fixed set of real cases with known-good outcomes, scored automatically whenever anything changes. It is the least glamorous part of AI…
Guardrails & AI Policy
A prompt is guidance; a guardrail is a control Instructing a model to stay on topic is a request. A guardrail is enforcement: filtering on input and output, hard limits on scope, permissions on…