Case Studies

Case Studies

Selected work showing how I turn manual processes, scattered information, and fragile implementation details into clearer systems people can use.

GetPrompting Free n8n Workflow Library

Value delivered: built a 10-workflow n8n library that turns GetPrompting's automation writing into a practical, downloadable proof asset.

The project includes beginner-friendly workflows, scrubbed GitHub repos, documentation, screenshots, tutorial articles, and internal linking that supports GetPrompting's workflow automation cluster.

This is the clearest example of turning content strategy into usable systems: each workflow teaches a specific automation pattern while giving readers something they can import, study, and adapt.

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Pixel Command Center: A Local AI Operating System

Value demonstrated: replaced a scattered collection of notes, tasks, inbox checks, content tools, local models, and media workflows with one visible operating layer.

Estimated time reclaimed: 3 to 6 hours per week by reducing repeated daily planning, context retrieval, inbox triage, content preparation, asset coordination, and system setup.

Pixel now spans 11 focused workspaces for daily planning, Kanban work, content, editorial review, guarded coding, editable documents, reply preparation, image review, Reels, temporary inbox memory, and resource control. Obsidian remains durable memory, while consequential actions stay behind human approval.

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Daily Action Brief Builder

Value delivered: turned messy working notes into a reusable n8n workflow that creates a clean Google Doc action brief.

The workflow uses AI cleanup, structured formatting, and Google Docs output to move from scattered notes to a reviewable daily planning document.

The result is a small but practical automation pattern that can be packaged, taught, reused, and adapted for teams, creators, and consultants.

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Physics of Value: WordPress Redesign and Interactive Content Build

Value delivered: stabilized and polished a complex WordPress presentation layer so a live client site became easier to review, navigate, and trust.

The work covered page cleanup, design consistency, interactive graph QA, readability fixes, custom wrappers, and turning fragile draft material into a cleaner client-facing experience.

This is the clearest example of live consulting delivery: taking something complex, respecting the existing material, and improving the system around it so the final experience feels steadier and more professional.

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SEO Keyword Research Automation

Value delivered: turned manual keyword research cleanup into a repeatable workflow that produces cleaner planning data for content decisions.

The workflow collects, cleans, deduplicates, and structures keyword data using n8n, OpenAI, DataForSEO, and Google Sheets.

The result is a reusable system that makes SEO research easier to run, easier to trust, and easier to extend into future content planning workflows.

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Research Vault: Modular AI Knowledge Retrieval System

Value demonstrated: built a modular retrieval foundation for ingesting knowledge, grounding answers, and making AI workflow experiments easier to debug.

The system uses structured ingestion, document normalization, metadata handling, embeddings, vector retrieval, and local model experimentation to keep knowledge workflows more inspectable.

This prototype shows how I think about AI systems as maintainable workflow infrastructure, not just a chatbot interface.

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Next Step

Need help with a workflow like this?

If your team has a recurring process that is too manual, scattered, or hard to reuse, we can start with one focused workflow and decide whether an audit, prototype, or documentation cleanup is the right next move.

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