Experimental Branch | T.vNext.ai

Active experiments and prototype modules — shipping on a rolling basis. This is the live branch of Taylor vNext where I test, refine, and ship systems that turn intelligence into impact.

Build Philosophy

Center the human, automate the overhead. I design AI-augmented workflows that amplify judgment, not replace it. In practice, that looks like agentic co-pilots to pressure-test ideas before they hit engineering and context pipelines that turn scattered notes and tickets into one living source of truth.

Start condition: How does this make people better at what they already do best?

AI is a context engine — it connects signals across teams, makes decisions transparent, and moves creativity at the pace of understanding.

Highlights from T.vNext.ai:

  • Shipped an agentic AI Ops system across Jira, GitHub, Help Scout — crushed repetitive triage and surfaced key strategies.
  • Scaled into a decision engine — continuous, actionable insight on tap.
  • Deployed 5 custom GPT agents for writing, research, and CX — clarity at scale.
  • Built a rapid-personalization framework — deep user understanding in a single session.
  • Built an AI-assisted career toolkit — resumes and outreach that still read human.
  • Prototyped multi-agent collaborators — backlog pattern detection, documentation companions, and more. 

Each artifact ships against the same hypothesis: the future of AI is reinforcement, not replacement.

Featured → Agentic AI Ops System (Cursor)

What started as a lightweight workflow patch became an operational AI ecosystem for product management. By connecting Jira, GitHub, and Help Scout through a shared AI context, the system turned data into decisions and reshaped how teams plan, prioritize, and communicate.

View the Artifact →

Artifacts in this Branch

This index spans live systems, retired prototypes, and works-in-progress that continue to shape how I build.

⚙️Channel: open // inputs welcome; experiments ship continuously.

Tags
  • Building an AI-Driven Product Management Workflow System in Cursor

    feat: built agentic AI Ops prototype in Cursor design: unified data with strategy + triage with automation perf: improved efficiency by ~50%

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Peer Commits

“Taylor was also an early champion of AI within our organization. While many were still trying to understand the potential, she was already experimenting, implementing, and sharing insights with the team. Her willingness to dive deep into emerging technologies didn’t just improve her own work, it elevated our entire product team’s capabilities and mindset. She created a culture of learning and innovation that rippled across the organization.”

– Jack Kitterhing
Director of Product Management @ LiquidWeb, Cloud One Digital
on LinkedIn


“She has taken the lead in AI enablement, revolutionized product workflows, created internal tools for every department, and shared best practices with the company. Taylor’s penchant for leveraging AI has been a true asset to everyone around her.”

– Angela Blake
Senior Product Manager for GiveWP @ LiquidWeb, Cloud One Digital
on LinkedIn


“Her leadership in AI enablement has transformed not only how our teams collaborate, but also how I personally approach documentation. She’s helped me develop stronger, more efficient workflows that use AI in practical, meaningful ways, saving time while improving quality.”

– Stephanie Liy
Senior Technical Writer @ LiquidWeb, Cloud One Digital
on LinkedIn