HOW IT WORKS
The AfiliatexOS operational cycle.
Each stage is navigable. See what enters, what the system observes, which intelligences participate and where the flow goes next.
1. CONTEXT
GEO, tenant, operating model, budget, platforms, affiliate IDs, product, offer, niche, market signals.
What enters
Operator and market operational data
What it observes
Portal/Overview collects the current context
Intelligences
Market Intelligence, Offer Intelligence
Decisions
Opportunities generated with signals and rationale
Risks
Policies, market risks
Result
Normalized opportunities with NEW status
Next:
INTELLIGENCE
2. INTELLIGENCE
Observe, understand, correlate, contextualize, decide, act, learn.
What enters
Opportunities and market data
What it observes
Simulation/ignite generates niches and signals
Intelligences
Opportunity Engine, Risk Intelligence
Decisions
APPROVE / ADJUST / DISCARD decision
Risks
Decision risk analysis
Result
Decision trace persisted
Next:
OPPORTUNITY
3. OPPORTUNITY
Signals, rationale, state — NEW → INVESTIGATING → APPROVED / DISCARDED.
What enters
Operator decision
What it observes
Status updated with traceability
Intelligences
Performance Intelligence
Decisions
Opportunity approval or discard
Risks
Policy validation
Result
Decision persisted with trace_id
Next:
CAMPAIGN
4. CAMPAIGN
Draft, simulation, pre-flight, review, approval, execution, performance.
What enters
Decision trace_id
What it observes
Draft created from the decision
Intelligences
Simulation, Pre-flight, Review
Decisions
Operator OK → materialize
Risks
Policy and risk validation
Result
Campaign persisted with pipeline_status
Next:
PERFORMANCE
5. PERFORMANCE
Operational and economic metrics with period and definition.
What enters
Campaign in execution
What it observes
Real-time events and metrics
Intelligences
Performance Intelligence
Decisions
Performance-based adjustments
Risks
Anomalies and risks
Result
Metrics persisted and memory fed
Next:
MEMORY
6. MEMORY
History, decisions, campaigns and performance feed the future context.
What enters
All operational data
What it observes
Context updated with learning
Intelligences
Managerial AI, Memory
Decisions
New opportunities based on history
Risks
Lessons learned
Result
New context for the next cycle
Next:
CONTEXT