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Design governed AI workflows
Turn ambiguous work into scoped, reviewable systems with clear human authority.
Applied AI engineering · governed systems · consulting
Build useful AI systems with control.
FrankAI is an independent applied AI engineering and consulting initiative founded by Raymond Wooler. We combine systems engineering, AI-assisted research, agent architecture and automation to build practical production-oriented systems.
Human-directed operating model
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Reconstruct context and constraints
Reconstruct context and constraints.
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Design the workflow and authority boundary
Design the workflow and authority boundary.
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Build, test and preserve evidence
Build, test and preserve evidence.
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Deploy carefully with recovery in mind
Deploy carefully with recovery in mind.
Frank is the AI counterpart used throughout Raymond’s research, architecture, development and problem-solving workflow. Accountability remains human.
What FrankAI does
Engineering depth applied to real work.
The practice brings together architecture, implementation and disciplined research across systems where governance, sovereignty and recoverability matter.
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Integrate tools, data and systems
Connect agents and applications to operational workflows without hiding failure modes.
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Research local and resilient architectures
Evaluate practical approaches to private inference, evidence and infrastructure independence.
Featured work
One body of engineering work, at different stages of maturity.
Platforms, services, methods and labs are shown together without pretending they are all finished products.
Platform
OperationalFrankAI Core Platform
An evolving first-party platform for human-directed, AI-assisted engineering and governed operation.
Visit FrankAIService
OperationalAI Consulting
Practical architecture and implementation for governed AI, automation and information systems.
Explore consultingMethod
OperationalFrankAI Context Engineering Method
A disciplined method for turning ambiguous requests into validated, maintainable work.
See the complete, privacy-safe portfolio and maturity register.
Browse all workEngineering principles
Governance is part of the build.
Least privilege, role separation, provenance, auditability, staged deployment, backup and recovery are treated as engineering concerns—not decorative promises.
Human accountability
AI assists the work; people retain responsibility for consequential decisions.
Evidence and provenance
Important outputs should be traceable to context, authority and validation.
Sovereignty and continuity
Private processing, explicit boundaries and recoverable systems guide design choices.
Start with context