Why Assemblage-AI Uses a Credit System
Assemblage-AI operates as a computational research infrastructure, not a static software tool. Each analysis triggers real, marginal costs across multiple layers of the system. Credits ensure sustainability, fairness, and transparency.
Each analysis invokes external AI platforms (LLMs, embedding services). These services charge per request or token.
- Every document ingestion
- Every multi-lens interpretive pass
- Every synthesis or comparison
Credits align usage directly with these variable expenses.
Assemblage-AI maintains structured analytic artifacts, versioned interpretations, and research histories.
- Structured actor/network artifacts
- Versioned snapshots
- Secure database operations
Delivering interactive analysis requires continuous infrastructure beyond simple API calls.
- Serverless compute & background workers
- Secure API gateways
- Monitoring & error handling
A credit system prevents heavy users from subsidizing others and ensures research-grade workloads remain viable.
- Light users pay minimally
- Power users pay proportionally
- Supports deep, multi-document analysis
Assemblage-AI is designed to support:
- Interpretive rigor
- Reflexive auditability
- Long-term research projects
Credits fund:
- Ongoing model evaluation
- Infrastructure reliability
- Responsible governance
In Short
Credits are not a paywall; they are a cost-allocation mechanism. They ensure that Assemblage-AI remains economically sustainable, fair, and capable of supporting serious, computationally intensive interpretive work. Learn how to earn credits via contribution.