Multi-Agent Research Fan-Out Per Row — The Real Shape of Augment-It's Capability Runtime

Augment-It's capabilities are not single LLM calls. Each row in a CRM export gets enriched by multiple specialized research agents running in parallel — one fetches social profiles and vanity KPIs (X handle, X followers, LinkedIn), another crawls every linked page on the company's website looking for team changes, press mentions, blog posts, and PDF publications. The capability runtime, the @lossless/in-app-agent transcript shape, and the chat UI all need to handle (rows × agents) fan-out, partial results, heterogeneous latencies, per-agent rate limits, and per-agent caching. The memopop character-cast pattern is the UI surface this maps to.