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I architect AI systems that drive adoption.

The Process

1

Technical Evaluation

~1 week

I evaluate your external touchpoints as your pro user: portal, console, SDKs, ADKs, and developer docs.

Report + Video
2

Product Showcase

~2 weeks

Your product, integrated into a production-grade application that turns developers into advocates.

GitHub + Video + Tutorial
3

AI Ecosystem Builder

Ongoing Partnership

Sustained engagement through technical partnerships, community-led growth, and continuous ecosystem development.

Retainer Available

Featured Work

Frequently Asked Questions

What AI systems do you build?
Production-grade AI agent systems — orchestration layers, tool-use pipelines, and multi-agent architectures. I build the infrastructure that makes AI agents reliable in production, then use those systems as proof points to drive adoption.
What is the Customer Zero approach?
Before advocating for any product, I adopt it as a pro user and simulate real customer workflows. I find production friction before your customers do. The result: authentic proof points and a tighter feedback loop for your product team.
How do I get AI agents/developers to adopt my API or SDK?
Show, don't tell. Reference implementations for developers, AI-native interfaces for agents. Technical partnerships to expand reach. Make the first 5 minutes effortless. Win customers.
How does AI engineering connect to ecosystem building?
Building real systems creates authentic credibility that no amount of marketing can replicate. When I ship production AI agent integrations, those become reference architectures that drive technical partnerships, community growth, and developer mindshare — all tied to winning customers.
How do you measure success?
Adoption. Revenue. Customers won.

Ready to win customers?

Let's accelerate adoption together.