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AI Operations and Workflow Infrastructure - Work Samples

This repo contains production work samples covering AI operations, workflow QA, data integrity, and system design - built to keep outputs consistent and workflows traceable.

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What I do well in this area

What I do well in this area

  • Keep AI-assisted workflows consistent when inputs are messy
  • Build prompt templates and SOPs that reduce drift and rework
  • Maintain clean, usable data (standardization, required fields, deduping, naming conventions)
  • Design operational systems and hold scope discipline through the build
  • Troubleshoot issues and document what went wrong so problems don't repeat

The Relocation Roadmaps samples come from a real project (https://relocationroadmaps.com) and are shared to show process, structure, and decision-making, not as polished client deliverables. The Chargeback Defender samples are from a live product built and shipped in 9 days (https://guideworks.co/chargeback-defender).

What you'll find

  • Chargeback Defender artifacts: decision calculator, dispute tracker with rate monitoring, evidence assembly guide, test cases, project conventions, and schema documentation - Systems/Chargeback-Defender
  • AI audit workflow artifacts: structured outputs (TSV and JSON) and review tracking across Sheets, Zapier, and Notion
  • QA artifacts: test plans, test cases, and sample bug reports
  • AI workflow examples: evaluation scorecards and reviewed guide sections
  • Prompt system excerpts: redacted prompt templates used to produce structured output
  • Systems notes: brief documentation of live automations

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AI ops work samples: audit workflow, prompts, QA

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