Section 4.0
Twenty six years of professional practice — documented, verified, and linked to the work itself.
Three tracks. Eleven case studies. Each track presents a thesis — about the depth of the technical writing practice, the rigor of the instructional design practice, and what AI-augmented collaboration looks like for the two inter-working disciplines when applied at professional scale. Every card below links directly to the full set of case studies.
Use this page to explore Vincent's potential and productive engagement with your teams and your environment.
Not sure which track to read first? Each track is designed for a different evaluative question.
Track 1
Technical Writing
Four employer engagements across 26 years of senior technical writing practice — API documentation, enterprise network infrastructure, SaaS platform documentation, and retail technology. Each case study documents a specific organizational problem, a documented approach, and a measurable outcome.
Each card below shows the headline result. The full problem, approach, and outcome — with writing samples and tools — are one click away in the case study.
After reading these four case studies, you will be able to evaluate whether the range, depth, and environment match what you are hiring for.
Additional Track 1 case study — post-launch
Track 2
E-Learning Instructional Design
Three e-learning projects demonstrating the full instructional design workflow — from adaptive learning architecture and enterprise LMS deployment through a UCI-graded certification storyboard and a practitioner-authored comprehensive course with Bloom's Taxonomy integration across 87 learning objectives.
Each card names the ID workflow stage the artifact represents. The full design rationale — including audience analysis, Bloom's alignment, and production decisions — is in the case study.
After reading these three case studies, you will be able to evaluate whether the instructional design methodology, the platform experience, and the production depth align with what your L&D program requires.
Track 3
AI-Augmented Professional Practice
Three case studies documenting original methodology developed through sustained, high-intensity AI collaboration. This track is not an employment history. It is an intellectual contribution — governance frameworks, information architecture principles, and best practices for professional collaboration with AI that emerged from doing the work documented in Tracks 1 and 2.
Each card names the primary methodology contribution. The full governance framework, design decisions, and transferable principles are in the case study.
After reading these three case studies, you will be able to evaluate whether the AI collaboration methodology documented here represents the level of structured, rigorous practice your organization needs.
Track 3 — AI-Augmented Practice
In the course of developing ScribeAndStrategy.com through sustained AI-augmented collaboration with Claude AI (Anthropic), a body of original professional methodology emerged that constitutes its own intellectual contribution. This methodology is documented as Track 3 of the portfolio and is available as a transferable framework for any practitioner managing complex AI-augmented projects.
Emergent Discovery Principle
Track 3 case studies, blog architecture, two-layer schema, and Bloom's Campaign all emerged from doing documented work — not from planning sessions. Structured work creates the conditions for unstructured insight.
One dozen discoveries, or related strategies, developed in organic fashion during design of this website and the related content, particularly for the Blog page and six related theses. More information is imminent.