AI-Accelerated Workflows
Overview
I actively integrate AI tools into education, documentation, content development, and product support workflows. These tools are most valuable when they improve speed and consistency while keeping expert review, technical accuracy, and user needs at the center.
This page focuses on the AI-assisted workflows I built at Aptech. For the broader portfolio case study that also includes internal AI learning programs, see AI Learning and Workflow Enablement.
Key AI Implementations
Custom GPT for Documentation Drafting
Developed a custom GPT workflow that generated first-draft technical documentation directly from GAUSS source code. This accelerated documentation turnaround and improved style consistency across functions while preserving expert review for accuracy and examples.
Referenced in: GAUSS Online Documentation Hub
AI-Powered Blog and Content Strategy
Used AI tools to:
- Suggest internal links based on keywords and topics
- Generate outlines and first drafts for tutorials and announcements
- Align blog tone and voice across multiple authors
- Repurpose technical content across docs, blogs, and training materials
Referenced in: GAUSS Data Analytics Blog
Markdown and HTML Automation
Applied AI models to:
- Convert drafts to clean Markdown and HTML
- Standardize formatting across documentation and training pages
- Reduce post-production time for content creation
- Improve consistency across content types
Referenced in: GAUSS Data Analytics Blog
AI-Assisted Prompt Engineering for Code Generation
Used targeted prompting and iterative refinement to:
- Generate GAUSS code templates from user requests and product features
- Convert economic modeling logic into usable examples
- Support content creation in both blog and documentation contexts
- Improve the speed of prototype examples and tutorial drafts
Referenced in: GAUSS tspdlib Library, GAUSS Data Analytics Blog