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ECN is organized in layers. Each layer builds on the one below it, and a single cross-cutting AI Gateway meters every AI action regardless of where it originates.

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The layers

Businesses publish a portable, federated profile to the Murmurations network. ECN is both a node and an aggregator, so a profile is not locked into ECN.
A Django control plane owns the canonical records: Business (the directory listing), Organization (the tenant boundary for a workspace), and Membership (which users belong to which org, with roles). Ownership flows through claims and invites. See the data model.
Each business compiles into a ContextPack — a structured, versioned, embeddings-backed surface that agents read. AI-authored content enters as seeded and is never auto-marked verified. Provenance is tracked per claim.
The workspace: Contacts, Accounts, Deals, Tasks, Conversations, Forms, and a graph-based automation engine. The Unified Prospecting Engine lives here and powers Sales, Recruiting, and Fundraising.

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The AI Gateway is sacred

Every LLM call, embedding, agent run, and paid external lookup goes through one gateway (backend/ai/gateway.py). It:
  1. Resolves credentials — managed ECN provider keys for the hosted product.
  2. Preflights cost against the rate card and the org’s budget caps.
  3. Executes the provider call.
  4. Meters a UsageEvent and records a CreditTransaction spend.
This is why metering is trustworthy: there is no path to spend money or call a model that bypasses the gateway. Read more in Metering & credits.

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Jaguar — the agent layer

Jaguar is a proactive, consultative growth partner built as a hierarchical crew: a master agent that delegates to read-only specialists (Sales, Recruiting, Operations, Fundraising). Every token the crew spends is routed through the AI Gateway, and any outbound action (email, post) is held as an approval-gated draft until a human approves it.