Following a payment to a threat actor: a short guide to the order of work and where an AI assistant helps The order of work from a known payment, each step tied to a finding Hopline offers (open ends, known wallets, service hand-offs, not on screen), how to confirm names outside and record them, and the four assistant tasks with the moment each one is worth asking. Written around a ransomware payment, and usable for extortion, scams and thefts, forward or backward. Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Add the Accuracy page: how often the guesses are right, and where they break Results of the benchmark on synthetic data with known answers (change guess by confidence, clusters, the pattern badges), what the data cannot say, and what to do with the numbers. Linked from Home, the sidebar, Analysis and findings, and Development, which also gets the commands to run the benchmark. Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Move the detailed documentation out of the README The README is now a short introduction; these pages hold the details that used to follow it (wallet overview, the Trace layout and the other workspace controls, analysis, reports, labels, fiat values, data sources and limits, development, publishing a copy). The paragraphs were moved word for word; two references were repointed. Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>