Work

Real systems.
Measurable results.

Every project follows the same pattern: understand the problem, build the system, prove it works. Here's what that looks like in practice.

01

Steinmetz Real Estate

Real Estate / William Raveis

18 AI agents running a 2,000+ page real estate platform.

The problem

A growing real estate practice needed technology that didn't exist — market analysis across dozens of neighborhoods, automated property research, client communication at scale, and business intelligence that kept pace with a fast-moving market.

18

AI agents deployed

2,000+

pages of content

30+

neighborhoods covered

24/7

system uptime

The process

Built a complete real estate platform from scratch using the multi-agent framework

Deployed 18 specialized AI agents across market analysis, property research, client communication, and operations

Integrated with MLS data, public records, market APIs, and communication tools

Created neighborhood-specific intelligence covering pricing, schools, demographics, and market trends

The payoff

A complete AI-powered real estate operation — from lead capture to market analysis to client communication — running autonomously 24/7. The platform that proved the framework works in production.

02

KabbalahQ.ai

Education / AI Learning Platform

An AI-powered learning platform that adapts to each student.

The problem

A complex educational domain with thousands of interconnected concepts, but no way to guide learners through it effectively. Traditional course structures didn't work — every learner needed a different path.

1,000+

interconnected concepts

Adaptive

learning paths

AI-powered

content generation

Personalized

per learner

The process

Mapped the entire knowledge domain into a structured graph of concepts and relationships

Built AI agents that assess each learner's current knowledge and generate personalized learning paths

Created an adaptive quiz system that adjusts difficulty based on demonstrated understanding

Deployed content generation agents that produce explanations tailored to each learner's background

The payoff

A learning platform where no two students have the same experience. AI agents continuously adapt content, pacing, and difficulty to match each learner's progress and style.

Interested in something similar?

Every project starts with a conversation — tell me what you're dealing with and I'll give you an honest take on what's possible.

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