How Deft works, in 50 seconds.
From your brief to an evidence report a person reviews: plan, collect, clean, relevance gate, three separate scores, clusters, the coordination check, early warning and the report.
Transcript
One name in, evidence out. You brief and Deft plans: nothing is collected until you approve the exact plan and its spend cap. Deft collects public data only from Google Maps reviews, X, Threads and TikTok, honouring robots.txt. Deft cleans every post into one shape and turns author handles into salted pseudonyms. Deft judges relevance: posts about the subject are scored, namesakes are set aside, and unsure posts get a second check. Deft scores each post three ways, source reliability, output validity and sentiment, and never merges them. Deft groups similar posts into clusters. Deft checks whether a cluster looks organised, using a transparent rule on size, tone and concentration; in the pilot, one cluster scored 0.93 and was flagged for review. Deft watches for recurring topics and signals that rise before others, with confidence stated. You review with receipts: what was observed, what was inferred, and what is not known. Book a reputation read at deft-analytics.com.
The relevance cascade shown is a lab result; production uses a large language model today. Pilot figures come from an internal, anonymised study.