Red Rook AI
Red Rook AI builds resources, tools, and services for operators and teams running agentic AI systems in production. We focus on the problems that emerge after deployment: mounting API costs, configurations that break under load, data quality gaps that compound silently, and security vulnerabilities that documentation does not cover.
Services
Pipeline Audit
A structured, two-week diagnostic that maps data quality failures across ingestion, annotation, transformation, and output. Covers five audit areas with severity-ranked findings and specific remediation guidance. Built for teams whose data feeds AI models, dashboards, or business intelligence systems.
View Pipeline Audit details and pricing
Consulting
Strategic and technical guidance for teams evaluating or scaling agentic systems. Scope is defined before work begins. Deliverables are specific and actionable.
Custom Builds
End-to-end agent configuration and workflow design. We scope the system, build it, and deliver a production-ready handoff. No open-ended engagements.
Resources
Guides and Kits
Practical resources for OpenClaw operators covering security hardening, cost reduction, memory architecture, and agent configuration. Built from production deployments, not documentation summaries.
The Brief
A free weekly newsletter covering what is actually moving in agentic AI. New vulnerabilities, configuration changes, tool releases, and field notes from operators running systems at scale. No hype. No filler.
Background
Red Rook AI was founded by L.B. Kaelin, a former team lead at xAI with direct experience in AI training data quality across multiple major AI labs. Prior work includes data annotation and quality evaluation for Bard, Gemini, and GPT. Twenty years in professional writing and editing ensure that every deliverable, from audit reports to technical guides, is written for both technical and non-technical audiences.
Contact
Questions or project inquiries: [email protected]