Dream 100 · Recorded synthetic test
Find the audience owners.
Prepare a useful next step.
A security company wants useful expert discussions with enterprise buyers. Four synthetic source records include an expert’s LinkedIn and YouTube properties, a relevant newsletter and a popular entertainment creator. The test groups the expert’s properties under one owner and prioritizes source-backed audience fit.
The request
Find the people and distribution properties that already have our enterprise identity security audience’s attention. Deduplicate owners across platforms, explain why they fit, and show the smallest useful next playbook action.
Business brief: Reach enterprise identity security buyers with an expert briefing.
The test mapped this request to the structured fixture. No live model parsed it. The output below comes from the actual directory logic, and the actual app workspace was rendered against those synthetic inputs.
Exact input records
{
"business_brief": "Reach enterprise identity security buyers with an expert briefing.",
"candidates": [
{
"candidate_ref": "profile:synthetic-expert",
"name": "Synthetic identity security expert",
"canonical_url": "https://www.linkedin.com/in/synthetic-expert",
"platform": "LinkedIn",
"channels": [
"LinkedIn"
],
"eligible_as_holder": true,
"provenance_state": "tenant_source_revalidated",
"follower_count": 1200,
"source_as_of": "2026-10-01T08:00:00.000Z",
"fit_evidence": {
"basis": "tenant_audience_engagement_report",
"match": "identity security buyer education"
},
"attention_evidence": {
"state": "observed_engagement",
"observed_audience_members": 3,
"meaning": "Three members of a synthetic workspace audience sample engaged; intent and total reach are unknown."
},
"source_evidence": [
{
"url": "https://www.linkedin.com/posts/synthetic-expert-security",
"kind": "workspace_engagement_sample",
"independently_verified": true,
"as_of": "2026-10-01T08:00:00.000Z",
"attributed_claim": "Three synthetic audience members engaged."
}
],
"owner_directory": {
"owner_key": "owner:synthetic-expert",
"ownership_identity_state": "verified_common_owner",
"owner_identity_evidence": [
{
"url": "https://expert.example/about",
"supports": "owner_relationship",
"independently_verified": true,
"as_of": "2026-10-01T08:00:00.000Z"
}
],
"channels": [
"LinkedIn",
"YouTube"
],
"region": {
"value": null,
"state": "unknown",
"source_evidence": []
},
"languages": [],
"language_state": "unknown",
"research_territories": [],
"aliases": [],
"contact_routes": [],
"published_rates": [],
"advertising_cost_status": "unknown",
"properties": [
{
"canonical_url": "https://www.linkedin.com/in/synthetic-expert",
"platform": "LinkedIn",
"relationship_state": "owner_primary",
"source_evidence": [
{
"url": "https://expert.example/about",
"supports": "owner_relationship",
"independently_verified": true,
"as_of": "2026-10-01T08:00:00.000Z"
}
]
}
]
}
},
{
"candidate_ref": "profile:synthetic-expert-video",
"name": "Synthetic expert channel",
"canonical_url": "https://www.youtube.com/@synthetic-expert",
"platform": "YouTube",
"channels": [
"YouTube"
],
"eligible_as_holder": true,
"provenance_state": "tenant_source_revalidated",
"source_as_of": "2026-10-01T08:00:00.000Z",
"owner_directory": {
"owner_key": "owner:synthetic-expert",
"ownership_identity_state": "verified_common_owner",
"owner_identity_evidence": [
{
"url": "https://expert.example/about",
"supports": "owner_relationship",
"independently_verified": true,
"as_of": "2026-10-01T08:00:00.000Z"
}
],
"channels": [
"LinkedIn",
"YouTube"
],
"region": {
"value": null,
"state": "unknown",
"source_evidence": []
},
"languages": [],
"language_state": "unknown",
"research_territories": [],
"aliases": [],
"contact_routes": [],
"published_rates": [],
"advertising_cost_status": "unknown",
"properties": [
{
"canonical_url": "https://www.youtube.com/@synthetic-expert",
"platform": "YouTube",
"relationship_state": "owner_primary",
"source_evidence": [
{
"url": "https://expert.example/about",
"supports": "owner_relationship",
"independently_verified": true,
"as_of": "2026-10-01T08:00:00.000Z"
}
]
}
]
}
},
{
"name": "Synthetic identity newsletter",
"candidate_ref": "external:synthetic-newsletter",
"canonical_url": "https://newsletter.example",
"platform": "Newsletters",
"channels": [
"Newsletters"
],
"eligible_as_holder": true,
"follower_count": 40000,
"source_as_of": "2026-10-01T08:00:00.000Z",
"fit_evidence": {
"match": "Identity security briefings for enterprise buyers",
"confidence": "unverified_client_citation"
},
"attention_evidence": {
"state": "provider_cited_public_claim_unverified"
},
"source_evidence": [
{
"url": "https://newsletter.example/about",
"title": "Public audience statement",
"supports": "audience_relevance_and_attention",
"attributed_claim": "The publisher says identity security practitioners read the newsletter.",
"accessed_at": "2026-10-01T08:00:00.000Z",
"independently_verified": false
}
]
},
{
"name": "Synthetic mass market celebrity",
"candidate_ref": "profile:synthetic-celebrity",
"canonical_url": "https://www.tiktok.com/@synthetic-celebrity",
"platform": "TikTok",
"channels": [
"TikTok"
],
"eligible_as_holder": true,
"follower_count": 10000000,
"source_as_of": null,
"fit_evidence": {
"match": "Celebrity entertainment and general lifestyle"
},
"attention_evidence": {
"state": "catalog_claims_unverified"
},
"source_evidence": []
}
]
}Recorded update
Start with the identity security expert whose three synthetic audience members engaged. Keep LinkedIn and YouTube under one sourced owner. Review the newsletter’s publisher claim before treating its audience as established. The large entertainment creator has no evidenced fit to this brief.
4 source records → 3 distinct owners. Follower counts do not determine the order. Total reach, trust and buyer intent remain unknown.
Review order 1 · Audience match observed
Synthetic identity security expert
LinkedIn · YouTube
Why this owner: Members of this workspace’s audience sample engaged with this owner.
Confidence: Observed audience sample
Source date: 2026-10-01T08:00:00.000Z
Reach: unknown · Trust: unknown
Distribution properties
- LinkedIn: https://www.linkedin.com/in/synthetic-expert · owner primary
- YouTube: https://www.youtube.com/@synthetic-expert · verified common owner
Evidence trail
- workspace_engagement_sample
https://www.linkedin.com/posts/synthetic-expert-security
Three synthetic audience members engaged. · 2026-10-01T08:00:00.000Z · Revalidated synthetic source observation
Next playbook: Creator collaboration
Signal: A new relevant episode, audience question or a published collaboration call.
Next action: Outline one useful demonstration or interview tied to an actual recent piece of content.
Dedicated creator activity connectors are unavailable in this slice.
Review order 2 · Cited fit needs review
Synthetic identity newsletter
Newsletters
Why this owner: Stored topic evidence matches the brief: enterprise, identity, security, buyers.
Confidence: Cited claim, unverified
Source date: 2026-10-01T08:00:00.000Z
Reach: unknown · Trust: unknown
Evidence trail
- Public audience statement
https://newsletter.example/about
The publisher says identity security practitioners read the newsletter. · 2026-10-01T08:00:00.000Z · Attributed public claim, unverified
Next playbook: Editorial partnership
Signal: A published editorial call, relevant issue or public partnership brief.
Next action: Draft a source-backed topic and the value it would give this owner’s readers.
Editorial source discovery needs review; no newsletter or placement monitor is active.
Review order 3 · Fit needs research
Synthetic mass market celebrity
TikTok
Why this owner: No source-backed match to this business brief has been established.
Confidence: Attention not established
Source date: Unknown
Reach: unknown · Trust: unknown
Evidence trail
No audience-fit source was available. Research is required before a relationship recommendation.
Next playbook: Validate audience fit
Signal: A recent discussion, public audience description or workspace engagement sample that matches the intended buyers.
Next action: Review one recent source and record which audience it demonstrates before planning placement or partnership.
Research step; no monitoring is active.
How this was tested
Synthetic deterministic test of the actual directory logic and app component. No live model parsed the request or assessed candidates, no provider search ran, no real audience reach was measured, and no outreach or monitor was started.
Repeat the fixture with node --test tests/dream100Directory.test.mjs tests/dream100Discovery.test.mjs tests/dream100RenderedWalkthrough.test.mjs tests/dream100Demo.test.mjs.