Notes from the operating record.
Numbered notes from the engineers, architects and operators who write the source. A regular editorial series, two notes per week. Not content marketing.
The Record is an operating archive. Earlier issues are being released progressively, so issue numbers begin partway through the sequence. Archive refs (REF 058, REPL/048) are internal serials, not publication numbers.
Read by the problem you're trying to solve.
Notes are catalogued by category, but the more useful entry point is the brief on your desk. Pick a challenge to filter the feed below.
AI for B2B ecommerce: where to start safely
Integrating AI into B2B ecommerce requires a structured approach to data, security, and measurable outcomes. Identify low-risk, high-value applications first.
Why agentic checkout pilots fail in B2B and what the second attempt should fix
Agentic checkout in B2B is failing at the pilot stage for predictable reasons. The second attempt has to start from a different premise about the buyer.
Product data quality is the AI commerce question, not the model
AI in commerce is a data project with a model on top. The model is the easy part. The product data is the part that decides whether any of it works.
Where merchandising teams should refuse to hand work to an LLM
LLMs can automate some merchandising tasks, yet direct human intervention remains vital for brand representation, strategic decision-making, and sensitive data.
Evaluation harnesses for commerce LLM features: the bit nobody ships
Evaluating LLM features in commerce requires dedicated infrastructure, not just ad-hoc testing. This piece outlines methods for robust, continuous evaluation as key to real-world reliability.