How the Delivery Engine Works
The core problem in niche expertise markets: how does a market with 30 informed participants solve its own liquidity problem? Broadcast destroys signal quality. Manual curation does not scale. The delivery engine solves this with a five-stage pipeline that identifies the specific experts whose verified work makes them relevant, then delivers curated, exclusive opportunities at the click of a button.
Everything before the gate is system intelligence. Everything after it is authorized action. The gate is the point.
The Expertise Graph
Every expert's verified proofs produce a domain graph. Not self-reported skills. Not keywords. Capability scores derived from independently verified work through Virgil. Each node is a domain tag with a capability score, recency score, and citation count. Edges connect domains that co-occur in the same proofs, representing methodology intersections.
The graph is the input to everything downstream. Its integrity is what makes matching defensible.
The matching engine scores every expert against every opportunity using seven weighted components:
| Component | Weight | What It Measures |
|---|---|---|
| Domain Fit | 30% | How many of the opportunity's required domains the expert covers |
| Capability Depth | 25% | Average capability score across matched domains |
| Methodology Match | 15% | Cross-domain edges. Does the expert's work span the intersection the opportunity needs |
| Recency | 10% | How recently the expert published in matched domains |
| Marginal Signal | 10% | Does this expert add information the existing participant set lacks |
| Urgency | 5% | Time pressure from opportunity deadline |
| Exclusivity | 5% | How many qualified experts matched. Fewer means each matters more |
The Expert's Agent
This is the principal-agent problem solved by contract. The expert defines a mandate: their own policy for what their agent can do on their behalf.
The mandate specifies:
If the opportunity hits a novel domain the expert has never published in, it escalates to the human. If the source trust is below the expert's threshold, it escalates. Every evaluation produces an auditable check record showing which rules fired and why.
The Invitation
When the matching engine identifies a qualified expert and the mandate layer clears the opportunity, the delivery engine creates an OpportunityInvitation:
The expert sees exactly why they were chosen. The selection reasons reference their own verified work. This is not a cold email. It is a curated, evidence-backed introduction to an opportunity the system has determined they are uniquely qualified for.
The Receipt and Writeback
Every action generates a cryptographically hashed receipt with full provenance:
The receipt writes to Campo's Signal Ledger. Accept and auto-execute are strict: if the writeback fails, the action fails rather than silently dropping a commitment. Decline and snooze are tolerant: memory-only is acceptable for low-stakes actions.
The Campo Score updates. The expert's reputation compounds. The flywheel turns.
The system finds opportunities.
The expert controls what gets through.
Every cycle produces a receipt. Every receipt compounds reputation. Every reputation attracts the next opportunity.