Research
Original Data
Benchmarks and findings on AI visibility, WebMCP, and agentic readiness — measured, not asserted.
WebMCP Readiness Is a Property of the Site, Not the Widget
A controlled three-site benchmark of agentic readiness. The same AI commerce widget was run against porsync.com and two companies that sell WebMCP and agentic-commerce tooling. The site with declarative WebMCP attributes succeeded; the two without them failed — including the vendor's own homepage.
Published 2026-05-28
Before You Fine-Tune: A Quant-Retention Framework for Edge SLM Feasibility
Most edge-AI projects start by training a model and end by discovering it never fit the target device. This is the inverted method: a measurement-first framework that answers 'can a small model do this job on this hardware at all?' before a single training run — using quant-retention ratios, behavioural adherence rates, and a hardware envelope as the go/no-go gate.
Published 2026-07-05