Portfolio

Projects

A consulting-style portfolio of products, platforms, and operating experiments across AI, marketing operations, data, recruiting, education, and financial information.

AI & Automation Marketing Operations Data & Consulting Recruiting / Career Tech Education / Decision Support Financial Information

Marketing Operations 01

PlaybookM

PlaybookM presents itself as a marketing decision platform built to make marketing production visible. Its homepage focuses on helping teams find gaps quickly, align around strategy, and invest in the work that is actually moving performance.

Strategic problem: Marketing teams need a clearer operating layer for strategy, work, budget, and evidence instead of disconnected planning artifacts.
What it demonstrates: Positioning a complex marketing workflow product around visibility, decision quality, and accountable execution.

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Data & Consulting 02

The Data Consulting Company

The Data Consulting Company positions itself around responsible AI, reliable insight, and stronger data foundations. The homepage emphasizes helping organizations use governance, engineering, and AI-ready infrastructure to drive smarter decisions and automate work.

Strategic problem: AI adoption creates pressure for stronger data foundations, governance, and executive confidence.
What it demonstrates: Consulting positioning that connects technical capability to responsible adoption and commercial decision-making.

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AI & Automation 03

Operrai

Operrai currently presents Workflow Models, an operational workflow intelligence system for drafting workflows from a defined start and finish. Its homepage focuses on using AI to generate the middle of a process, validate the structure, and keep the resulting graph editable.

Strategic problem: Operators need AI to help structure repeatable work without losing human review, editability, and process control.
What it demonstrates: An AI product narrative grounded in workflow intelligence, validation, and practical operating utility.

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AI & Automation 04

StaffOps.AI

StaffOps is framed as a digital staffing hub for role-based digital employees. The homepage focuses on orchestrating cross-functional operations with controls, approvals, and measurable outcomes so AI systems can move beyond assistance and into accountable execution.

Strategic problem: Companies want AI labor to produce accountable outcomes, not just chat outputs or isolated task assistance.
What it demonstrates: A control-plane story for AI operations, approvals, role-based work, and measurable execution.

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Education / Decision Support 05

TrueCostEdu

TrueCostEdu is a college planning workspace built to help students understand the real cost of school before they commit. The homepage centers on organizing school options, validating cost assumptions, and comparing decisions with clearer recommendations.

Strategic problem: Families need decision support that turns confusing college costs into comparable, defensible options.
What it demonstrates: Product framing for high-stakes consumer decisions where clarity, collaboration, and risk reduction matter.

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Financial Information 06

TickrTape

TickrTape is a web-based, Bloomberg-style market window that gives users a fast, compact view of stocks, market movement, and financial signals in one browser-based dashboard. It is built for investors and market watchers who want a lightweight market terminal experience without the cost or complexity of enterprise trading software.

Strategic problem: Market watchers want fast signal and context without the overhead of enterprise-grade terminals.
What it demonstrates: Information architecture for dense data, financial scanning, and lightweight decision support.

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Recruiting / Career Tech 07

JB Match AI

JB Match AI presents itself as an AI hiring platform built to predict candidate performance and help teams make more informed recruiting decisions. The homepage focuses on analyzing resumes against job descriptions, generating suitability scores, and reducing guesswork in early screening.

Strategic problem: Hiring teams need a more consistent way to compare role fit before human review time gets wasted.
What it demonstrates: AI positioning in a trust-sensitive workflow where scoring, transparency, and decision quality matter.

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Portfolio context

The point is not the screenshots. It is the operating pattern.

Each project is a way to pressure-test positioning, workflow design, decision support, data systems, or AI-era commercial infrastructure.

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