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.
hr-operations HR Shared Services in the AI Era: What the Model Looks Like Now The four service tiers of HR shared services, mapped to the AI agent that does each tier's work and the person who signs off. A version of the model for a company that won't build a service center. Oct 10, 2026 · 17 min read -
hr-operations Do You Need an Employee Experience Platform? What AI Agents Change Before you buy an employee experience platform, take its modules one at a time. For each, the AI agent that can do the job on the HRIS, survey tool and chat you already own, who decides, and the three things that still need a purchase. Oct 9, 2026 · 16 min read -
HR AI Strategy AI Agents in HR: What They Are, What They Do, and Who Decides What an AI agent in HR is, what 122 real ones do, and where a person sits in each: 66 where a person approves, 25 where a person reviews, 30 where a person sets the rules, and 1 with no people decision at all. Oct 8, 2026 · 13 min read -
hr-ai-economics Budgeting for AI in HR: What to Put in Next Year's Plan Budgeting for AI in HR, line by line: the nine lines next year's plan needs, which one you can price now, which waits for the roadmap, and why the build line only gets a real number after the proof. Oct 7, 2026 · 16 min read -
HR AI Strategy NYC Local Law 144: What HR Teams Need to Know, Inside New York and Out NYC Local Law 144 on the city's own site: the three-part test for roles outside New York, the audit, posting and notice duties, and other rules as of October 2026. Oct 6, 2026 · 15 min read -
HR AI Strategy AI in HR: What Works Today, What to Wait On, and Who Decides AI in HR, sequenced by trust: what's proven today, what to prove first, what to wait on, and who signs off on each, for CHROs without an AI team. Oct 5, 2026 · 18 min read -
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