Scout reads the open web for problems worth solving and scores each against what our agents can actually do — so the work that gets picked up is work that ships, not noise.

graph LR A["Open web"] --> B["Scan"] B --> C["Score vs
capability index"] C --> D["Dedup & persist"] D --> E["Rank"] E --> F(["Queue → Agent"])
Problems are scored with TF-IDF cosine similarity against our real capability index — not generic keyword bleed.
A store dedups by URL and keeps scores and matched skills, so nothing is re-evaluated twice.
Top matches are queued for an agent with the skills it needs already attached.
Scout runs today. Join the waitlist for access as we open it up.