Working applications. Shipped with agentic AI.

Problem Addressed

Leadership lacked a unified view of strategic initiatives across business units, creating coordination gaps, reporting overhead, and limited executive visibility into transformation progress.

Build Approach

Built a full-stack application using Next.js, Prisma, and PostgreSQL with an AI-assisted development workflow. Shipped from concept to production in days — compressing a delivery cycle that would traditionally take months.

Why It Matters

Demonstrates how agentic AI workflows can dramatically compress enterprise software development cycles. The application is in active use, tracking real organizational initiatives.

Problem Addressed

Field teams relied on manual, error-prone processes for job scoping and pricing. Inconsistency created margin risk and slowed the sales cycle.

Build Approach

Designed and built a scoped estimation application with structured inputs, automated line-item calculation, and exportable outputs. Deployed using agentic AI tooling from specification to working prototype in under a week.

Why It Matters

Proves that operational software — not just internal dashboards — can be built rapidly with agentic AI. The result is a working tool solving a real operational problem.

Problem Addressed

The organization needed a modern digital presence and a member-facing portal that could be managed without ongoing developer dependency.

Build Approach

Architected and built a Next.js 14 application with a member authentication layer, a content-managed public site, and an administrative interface — all designed to be maintainable by non-technical staff.

Why It Matters

Illustrates the ability to translate a complex stakeholder brief into a production-ready digital product, using agentic AI to accelerate delivery without sacrificing quality or architectural integrity.

Problem Addressed

Business performance data lived in disconnected systems. Producing a coherent executive view required manual aggregation and was often stale by the time it was ready.

Build Approach

Built a lightweight data integration layer and dashboard using modern web tooling and AI-assisted development. Configured to pull from operational systems and render in a clean, executive-ready format.

Why It Matters

A practical example of AI-enabled product building applied to the data visibility challenge every organization faces but rarely solves elegantly.

Problem Addressed

Contract review was creating bottlenecks. Standard agreements were consuming legal bandwidth that could be reserved for complex or high-stakes documents.

Build Approach

Built a document ingestion pipeline with structured AI analysis, flagging clauses against a predefined risk taxonomy and surfacing a summary brief for human review.

Why It Matters

Demonstrates the practical application of large language models in a high-value business workflow — moving AI from experimentation to operational leverage.