Onboarding

Hi, I’m Taylor Waldon.

// package
name: taylor-waldon
version: vFueled
type: director_technical_product_ownership
status: in_production
release: merged_to_main → deployed_to_team 
env: fueled

 Quick Start Guide

Welcome to Taylor vNext — this website is development deployment (or employment) documentation for me, Taylor Waldon, as a living software system.

The metaphor’s meant to make you think — but don’t worry if it feels like too much at first. Here’s the fastest way to get your bearings:

Read the Docs	Everything you need to get oriented with this website is in the user documentation section.
Understand the README	My README is the foundational guide to how I work. It’s my values, principles, work style, and company fit information.
Explore the Branches	There are two main showcase pages that house a collection of projects (called “artifacts”). Each has a unique central theme. Legacy = LearnDash Product Owner Role Experimental = AI Workflow Optimizations
Check the Human API	If you want to know more about me and my skills in depth, the API page is the place to do it.
Book a Demo	Contact me to talk product, AI workflows, or anything you found here.

Version History

vGiveWP → vStellarWP → vLearnDash → vFueled

Roadmap

 What is the roadmap in this context?

What you’re seeing here is my personal version-history: where I’ve been, what I’ve shipped, and the next build in progress. Think of this as the “changelog” for Taylor my work history.

April 2024 – Nov 2025
vLearnDash.legacy
Product Owner — led strategy built from customer voices and collaboration.

// release
name: vLearnDash.legacy
role: product_owner
org: nexcess 
period: 2024-04 → 2025-11
focus: team_alignment, platform_stability, internal_ai_enablement
commits:
  - reporting_refactor: 93% faster; 87.5% less_memory
  - customer_signals_alignment: refunds -42%; support_volume -30% YoY
  - ai_ops_workflows: ~+50% personal_efficiency
  - cross_functional_ai_adoption: training + custom_gpt_tools
status: archived

 LearnDash Product Owner Highlights

This chapter was about transformation through constraint.

• I stabilized the product’s core systems and rebuilt the reporting engine, cutting query times by 93 % and memory use by 87.5 %.
• I reconnected the roadmap to real customer needs, which drove refunds down 42 % and reduced support volume by 30 % year-over-year.
• I designed AI-assisted workflows that automated triage and communication, reclaiming half my workweek for higher-impact thinking.
• I trained cross-functional teams on new AI tools and workflows, building confidence and alignment across departments.

Summary: this was where I learned to rebuild from the inside out — turning technical debt, team fatigue, and scattered priorities into momentum and clarity.

Current Release
vFueled
Director of Technical Product Ownership — AI-assisted product ownership at agency scale.

// release
name: vFueled
role: director_technical_product_ownership
org: fueled
period: 2026-02 → present
focus: platform_extensions, release_quality, agentic_product_ops
status: in_production

 Fueled Director Highlights

This chapter is about shaping a brand new discipline on the Platform Extensions team.

• I’m defining what technical product ownership means at Fueled: what the role owns, where it sits between client and Engineering, and what “ready” means.
• I shape it by doing it, as the hands-on product owner on client platform projects, and then turning what works into the standard.

Summary: version one of a new role, shipping while it’s being built.

In Development
vFueled.next
Building the system behind the role.

// release
name: vFueled.next
state: in_development
focus: ai_assisted_product_ops, human_in_the_loop_review
outcome: new_discipline_in_practice
pipeline: draft → review → publish
result: new artifact → experimental branch

 What’s in the next build?

This build is about making the role scale beyond me.

• I’m building an AI-assisted toolkit that checks tickets, breaks partner specs into stories and runs acceptance testing, with a person approving every result.
• I’m turning it into a playbook so the next product owner can pick it up and run.

Summary: the next release ships when the system works without me in the room.

Commit Messages

Here’s what teammates committed to the branch had to say:

Explore Repositories

Two repositories — legacy deployment and experimental branch.

• Legacy Branch: How I guided LearnDash through one of its most transformative years.
• Experimental Branch: Experiments and systems that make AI more practical—and more human-in-the-loop.

// summary
feat: built human-in-the-loop AI operations framework in Cursor  

// functionality
- triages support tickets → checks completeness + dev readiness  
- synchronizes multi-tool workflows → (Jira, GitHub, Help Scout)  
- converts AI insights → real-time, human-verified actions  

// outcome
result: ~50% time-savings  
focus: judgement, empathy, innovation  

// summary
release: LearnDash 5.0  

feat: REST API refactor + Model Context Protocol (MCP) integration  

// purpose
creates: foundation for Agentic AI in LMS software  

impact: transformed technical debt → forward momentum  

// outcome
framework: enabled smarter releases with every iteration  

Environment