Product Portfolio 2025-2026

Challenging the Status Quo
Creating innovative new ways to build and launch advanced AI

A showcase of 9 functional applications, evolving novel ideas into production products through creative engineering.

Enterprise Architecture

18 Agent Teams. One Knowledge Graph.

ProductIntel.io isn't a wrapper.

A massive prototype demonstrating complex multi-agent orchestration, pointer-based token reduction, and real-time behavioral heuristics (Apprentice AI).

AgentWeave

Pointer-based context passing orchestrating 18 agents with ~40x less token consumption.

Customer APIs

Public roadmaps, AI-generated release notes, and RAG Consumer Chat for feature requests.

Inference Inspector

"Why did the AI say this?" Narrative plain-English traces detailing exact retrieved context and costs.

Cost Calibration

A/B testing test-cases across models to right-size cost vs quality in real-time.

The Portfolio Journey

A curated tour through product innovation

1

The Hook

I take novel ideas and transform them into prototypes that evolve into production products through creative problem-solving and deep industry knowledge. Each application demonstrates real AI integration, live data persistence, and functional workflows, not hardcoded demos.

147K+
Lines of Code
9 Apps
Working Prototypes
Real AI
Live LLM Integration
3

Enterprise Scale

EasyComm

Enterprise Multi-Channel Communication Platform

A production-grade platform for print and mail service providers. Features dual-mode rendering (semantic vs exact replica), multi-LLM synthesis for compliance, and audience-based pricing calculators.

4
LLMs Synthesized
80%
Faster Onboarding
4

What This Demonstrates

Product Thinking

  • • Identified real user pain points
  • • Designed solutions, not just features
  • • Made conscious trade-off decisions
  • • Measured impact with metrics

Technical Execution

  • • Multi-LLM architecture & RAG systems
  • • Production-grade full-stack apps
  • • Real-time systems & WebSockets
  • • Type-safe, well-architected code
Coming Soon: Phase 2

Chat with this Codebase

I'm building an interactive RAG agent that will live on this site. Soon, you'll be able to ask implementation questions like "How is the project data structured?" and get answers cited directly from the repo's source code.

Vercel AI SDKOpenAIVector Search
user:Explain the architecture...
agent:Scanning /lib/projects.ts...

Ready to see more?