What we think. What we build. What we learn.
No fluff. No hype cycles. Just hard-won lessons from building AI systems that run in production.
AI Tools LangChain vs LlamaIndex: Which Framework for Production RAG in 2026? Most comparison guides end with 'use both.' This one starts with a decision. An honest framework comparison from a studio that runs LangChain in production. Sep 1, 2026 · 12 min read -
AI Tools Agentic AI vs Generative AI: What's the Difference and Which Do You Need? Everyone's saying 'agentic AI' now. Most of them mean different things. Here's what actually separates agentic from generative AI, where the hype outpaces reality, and a scoring framework to decide which one your company needs. Aug 31, 2026 · 16 min read -
AI Architecture Agentic RAG: How Autonomous Agents Improve Retrieval-Augmented Generation Four positions on the agentic RAG spectrum, the patterns behind each one, and the workload profile where classical still wins. With published benchmark data. Aug 31, 2026 · 15 min read -
Build vs Buy Should You Build Your Own RAG System or Hire Someone? A Decision Framework We build custom RAG. Here's when we'd tell you to buy Glean or use Bedrock instead. A 5-filter decision framework with real vendor prices and crossover math. Aug 31, 2026 · 16 min read -
HR AI Strategy HR Data Readiness: What Each of Your Systems Can Actually Carry A system-by-system read of the HR stack: what each one holds that you can trust, what only looks trustworthy, what an AI idea could do with it this year, and where the joins between two systems quietly break. Aug 31, 2026 · 16 min read -
AI Tools OpenAI Agent Builder: Everything You Need to Know Honest review of OpenAI Agent Builder for engineers. The 12-node canvas, AgentKit vs Agents SDK distinction, April 2026 SDK update, pricing math, and a firm verdict. Aug 31, 2026 · 17 min read -
AI Architecture RAG Architecture Explained: Components, Patterns, and Production Considerations The five architectural decisions that determine whether a RAG system works in production. Trade-offs, failure modes, and the reasoning behind each call. Aug 31, 2026 · 21 min read -
HR AI Strategy Where Is HR on AI? The Answer That Survives a Board Question Four stages of HR AI maturity, measured in trust earned, with the paragraph to say to your board at each stage, the evidence to bring, and the claim to leave out. Aug 20, 2026 · 16 min read -
HR AI Strategy Employee Experience Consulting: What You're Buying and When to Skip It Four kinds of employee experience consulting, compared: what each one delivers, what your team pays in time, what you own when it ends, the cases where you shouldn't hire anyone, and the questions to ask before you sign. Aug 19, 2026 · 15 min read -
People Analytics Employee Insights That Change a Decision An insight nobody acts on is a slide. Seven employee insights worth having, each tied to the decision it feeds, the person who owns that decision and the number it should move, five tests that separate a real insight from a restated metric, and what to stop collecting. Aug 19, 2026 · 17 min read -
People Analytics Employee Turnover Causes: Which Leavers, and What HR Can Change A company-wide attrition rate hides the only useful question: which leavers, from which segment, and could anything have changed it. How to cut turnover data so it becomes actionable, tell regretted exits from the rest without guessing, sort causes by what HR can move, and why per-person flight-risk scoring stays a no. Aug 19, 2026 · 19 min read -
HR AI Strategy How HR Can Contribute to Business Growth: The Chain to a CFO Number The growth answer that survives a CFO's questions is employee lifetime value: how well people perform and how long they stay. Here's the chain from an HR lever to a number finance already reports, which links AI helps with, and what to bring to the next growth conversation. Aug 19, 2026 · 15 min read