MindsEye & MindScript: A Ledger-First Cognitive Architecture
This technical whitepaper presents a ledger-first cognitive architecture called MindsEye, which aims to provide full accountability for AI-powered automation by treating every decision as an immutable record.
Why it matters
MindsEye aims to address a critical gap in modern AI-powered automation by providing a comprehensive architecture for full accountability and traceability.
Key Points
- 1MindsEye combines Windows Server, Google Workspace, and an append-only ledger to enable AI-powered workflow automation with audit-grade accountability
- 2The whitepaper covers the network topology, data flows, security boundaries, and operational model for deploying MindsEye in a real-world enterprise environment
- 3The reference implementation is for a 42-user organization called Acme Operations Inc., using a 4-node Windows Server 2025 cluster and Google Workspace Enterprise
Details
The whitepaper starts by identifying the 'AI accountability gap' in modern organizations, where AI-driven decisions lack provenance and traceability. MindsEye is proposed as a solution, using a ledger-first approach to treat every decision as an immutable record. The technical architecture combines Windows Server for internal compute and identity, Google Workspace and Gemini for external perception and reasoning, and an append-only ledger as the source of truth. The whitepaper then reviews classical network topologies (star, mesh, ring) and maps them to the MindsEye cognitive network model, where the ledger acts as the logical center. It goes on to detail the network design, data flows, security boundaries, and operational model for the Acme Operations Inc. reference implementation, including specifications for the Windows Server and Google Workspace components.
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