Dashboard → Operating Map

FayaScout Operating Map

The whole intelligence operation on one page. FayaScout is an Intelligence Command Platform with three business departments; each department has squads; each squad has members — real agents, engines, capabilities or workflows. Intelligence flows left to right until it becomes a package FayaHub can pitch.

PRODUCTION ENGINE

FayaHub / FayaScout owner
↓
Intelligence Command Platform · the dashboard
↓
Creator Intel “Who should we work with?” Brand Intel “Who have our creators worked with?” Commercial Opportunities “Who should we approach next?”
Research Ops is a cross-cutting operational layer that runs across all three departments — queue · freshness · quota · scheduling. It is not a fourth department. orchestration currently DISABLED / paused
↓
Verified, explainable intelligence — a package a human can act on
↓
FayaHub human commercial execution — outreach → response → rates → negotiation
↓
Deal → commission → recurring relationship
4501
Creators
254
Qualified
78
Brand-researched
97
Brands
115
Confirmed relationships
200
Opportunities
Department · Creator Intel

Creator Intel

Owner question: “Who should we work with?”

Find creators worth doing business with and make them commercially usable.

Discovery Squad

Find and qualify creators worth working with.

Receives: A research strategy and the seeds an operator points it at

Produces: A candidate creator that is qualified, rejected or pending

Capability Research Profiles proven — The creator-hunting strategy: niche, markets, size band, thresholds, a target qualified count. Many can be ACTIVE at once.
Capability Seeds / starting points proven — Channels an operator hand-picks as the place discovery should start from. Global creator records, not attached to one profile.
Engine YouTube Discovery Engine proven — Turns a seed or a frontier keyword into new candidate channels via keyword search and description-mention mining, within a quota budget.
Workflow Discovery Jobs proven — One run of the engine, governed by one Research Profile; stops enqueuing new exploration once the profile's target is met.
Engine Creator Qualification proven — Evaluates each candidate against every ACTIVE profile — records MATCHED / NOT_MATCHED with reasons, never a silent drop.
Engine Classification & scoring proven — Niche relevance, brand-safety and the FayaHub score that feed qualification.

Open Discovery Squad →

Readiness Squad

Turn qualified creators into commercially usable leads.

Receives: A qualified creator

Produces: A creator with a business contact, location, audience evidence and an outreach-readiness verdict

Engine Creator Location proven — Where the creator themselves are based. VERIFIED / INFERRED / UNKNOWN — never inferred from audience data.
Capability Audience Geography Evidence proven — Where the viewers are. Legitimately UNKNOWN — the public YouTube API does not expose it; only operator / media-kit data fills it.
Engine Contact Enrichment building — Finds a business email / booking link from public sources. Deployed; not yet run at scale on the confirmed creators.
Engine Outreach Readiness building — A derived READY / NEEDS_* verdict from contact + location + evidence. Every confirmed creator is still NOT_EVALUATED today.
Capability Media kit / rates planned — Rate card and media-kit data. Not captured yet — the gating gap before a serious pitch.

Open Readiness Squad →

Department output: Qualified, commercially usable creator
Department · Brand Intel

Brand Intel

Owner question: “Who have our creators worked with?”

Discover and verify genuine creator ↔ brand commercial relationships.

Alpha Squad

Discover and verify genuine creator–brand commercial activity.

Receives: A qualified creator's recent videos

Produces: A verified verdict — CONFIRMED, REJECTED or UNCERTAIN — with evidence

Agent RASAD — Fast Brand Scout proven — Scans a qualified creator's recent videos for commercial signals — disclosures, promo codes, affiliate URLs, offers — and hands each candidate + evidence to FURQAN. Breadth and speed.
Agent FURQAN — Deep Confirmation proven — Takes each RASAD candidate and decides whether the evidence genuinely supports a commercial relationship. A deterministic corroboration gate is authoritative; the model only advises.

Open Alpha Squad →

Relationship Intelligence Squad

Turn verified evidence into a trustworthy creator↔brand relationship graph.

Receives: FURQAN's verdicts and their evidence

Produces: A creator ↔ brand relationship graph with history and competitor context

Engine Brand Directory proven — Every brand FayaScout has evidence for, and how many creators have genuinely worked with it.
Engine Brand Alias Resolution proven — Collapses string variants (Hfly → Holafly) only via explicit alias rows — never a fuzzy merge.
Engine Relationship Graph proven — Projects FURQAN evidence into owner-level relationships and derives EXISTING / PAST-STALE / SOFT-WARM / UNKNOWN. Never makes a commercial judgement itself.
Capability Relationship Evidence / Provenance proven — Every relationship keeps its videos, disclosure text, promo codes, corroboration score and the run that produced it.
Capability Relationship History proven — Repeated sponsorships accumulate; a relationship is marked recurring, and old evidence is never overwritten.
Capability Competitor Relationship Context designed — Seeded competitor pairs (Airalo ↔ Holafly, Incogni ↔ DeleteMe) — not a global competitor database.

Open Relationship Intelligence Squad →

Department output: Verified creator ↔ brand commercial intelligence
Department · Commercial Opportunities

Commercial Opportunities

Owner question: “Who should we approach next?”

Turn trusted intelligence into actionable creator × brand opportunities and prepare them for FayaHub.

Opportunity Squad

Find promising creator↔brand combinations worth pursuing.

Receives: The relationship graph and the qualified-creator pool

Produces: Opportunity hypotheses — new / renewal / expansion — each with a transparent reason

Capability Relationship Graph consumption proven — Reads confirmed relationships as the evidence base for every suggestion.
Engine Creator × Brand Mix & Match proven — Pairs brands proven elsewhere in the graph against qualified creators with no known tie to them.
Capability Opportunity Explorer proven — Browse opportunities by brand, by creator, or warmest-first across the whole graph.
Capability Transparent Opportunity Reasons proven — Every opportunity states why it exists. No fit percentage, no AI score. FACT ≠ HYPOTHESIS; UNKNOWN ≠ NO.
Engine Renewal / expansion identification proven — An existing or past relationship becomes a renewal / expansion opportunity — often the strongest kind, never an exclusion.

Open Opportunity Squad →

Commercial Action

Prepare strong opportunities for FayaHub outreach, and track the outreach through to a deal.

Receives: An opportunity plus the creator's contact, readiness and evidence

Produces: A tracked outreach conversation — from first contact to won / lost

Capability Outreach readiness & contacts building — The contact, location and audience evidence assembled next to the opportunity.
Capability Commercial context proven — Relationship evidence and competitor context carried into the handoff.
Capability Outreach Tracker building — The minimal outreach database — one lifecycle per creator (contacted → follow-ups → replied → negotiating → won / lost), channel-aware (email / Instagram DM / other), with append-only history. Replaces the spreadsheet.
Human handoff FayaHub handoff proven — FayaScout prepares and records; the actual email / DM is still sent manually at FayaHub.
Human handoff Email / DM sending · reply sync · negotiation automation planned — Deliberately deferred. Sending stays in Gmail / Instagram; FayaScout records the action and the outcome. Automate only if real usage proves it a bottleneck.

Open Commercial Action →

Department output: Explainable opportunities, ready for a human pitch
Cross-cutting · not a 4th department

Research Ops

Manage research workload, freshness, scheduling and quota across FayaScout.

Receives: Research freshness across every creator, and the remaining YouTube quota

Produces: A quota-aware plan — who to (re)scan tonight, who to defer, what to retry

Capability Research Queue proven — The ordered plan of who to research next and the quota each entry needs.
Engine Research Freshness proven — Per creator: never scanned / new uploads / stale / fresh / partial-failed.
Engine Quota Capacity Planner proven — How many creators tonight's budget can afford, and how many nights to clear the backlog.
Workflow NIGHTLY orchestrator designed — The night-shift manager: never-scanned first, then new uploads, then stale, then retryable. Quota-aware, not rescan-everything. Ships DISABLED.
Workflow NIGHTLY_REFRESH designed — The refresh pass for creators with new videos. Ships DISABLED.
Workflow RESEARCH_ORCHESTRATOR designed — Would execute the queue plan automatically. Implemented and tested; ships DISABLED — enabling it is a separate operator decision.

Open Research Queue →

Where automation stops

FayaScout intelligence → FayaHub human commercial execution

Everything above is FayaScout. Everything below is run by a person at FayaHub today — it is not automated and not tracked in FayaScout. That line is real, not a placeholder.

FayaScout opportunity + package → FayaHub outreach→ response→ rates / media kit→ negotiation→ deal→ commission→ recurring relationship

Reading this map

Agent a real named AI agent — only RASAD and FURQAN Engine deterministic code that does one job Capability a feature / data surface Workflow a scheduled or multi-step process Human handoff a person takes over
proven working end to end in production building deployed, not yet proven at scale designed implemented + tested, ships disabled planned not built yet

Same vocabulary as the Dashboard and the Business HLD (docs/architecture/FAYASCOUT-BUSINESS-HLD.md).