Edwin Genego

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  • Native app-like experience

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AI Engineering Resources

Access curated tools, datasets, workflows and methodologies for AI development, proprietary dataset creation, MCP server composition, and domain-specific automation patterns.

What's Inside

MCP Servers

Production-ready Model Context Protocol implementations for relocation, property, legal & education domains

AI Tools

Analysis, generation, optimization & automation capabilities integrated into delivery pipelines

Datasets

Structured, schema-first domain artifacts with version control, source references & audit trails

Workflows

Observable automation patterns across CI/CD, review, documentation & knowledge systems

Methodology

Data curation principles, quality frameworks & composition patterns for AI context

Integration Patterns

Proven composition surfaces, error handling strategies & observability approaches

Why Authentication Required

These resources contain proprietary integration patterns, domain-specific knowledge structures, and operational guardrails still in active evolution. Access is limited to protect intellectual property and ensure appropriate usage contexts while maintaining quality through controlled distribution.

Request Access

Interested in leveraging these resources? Submit an access request via the contact form. Include your intended use case - whether it's delivery pipeline augmentation, domain-specific automation, dataset composition, or research evaluation - so we can scope the relevant modules and discussion points.

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