I constantly am thinking about Developer Platforms, Public APIs, and agentic AI (incl MCP, RAG, workflow orchestration) powered ecosystems.
- Start with the problem, not the technology. Every tool I've built exists because I hit a real friction point — not because the tech was interesting. If nobody needs it, it's shelfware.
- Prototype before you spec. I build working POCs to pressure-test ideas before committing engineering resources. The best specs come from building, not theorizing.
- Stay close to the users. I run discovery calls, read support tickets, and use my own products. You can't build for developers if you've never felt their friction firsthand.
- Ship small, learn fast, iterate faster. I'd rather validate with a rough working version this week than debate a polished spec for a month. Assumptions are cheap to hold and expensive to ship.
Every tool here started as a proof-of-concept to solve friction I hit while shipping enterprise AI infrastructure. I prototype before I spec.
Agent Universe Python
Enterprise-grade agent builder factory. A composable framework for building governed AI agents with structured tool access, memory, and orchestration patterns.
MCP Server Generator TypeScript
Paste an OpenAPI spec, get a production-ready MCP server. Built to eliminate the boilerplate that slows agentic adoption — the same friction I kept hitting when onboarding teams to MCP at scale.
Semantic Router TypeScript
Classifies user queries by complexity and routes them to the right LLM — fast model for simple questions, heavy model for complex reasoning. Cuts inference costs without sacrificing quality. Exposes latency, model, and cost telemetry per request.
Zero-Trust PII Proxy Agent TypeScript
A privacy-preserving proxy that sits between your application and your LLM. A fast model sanitizes input (replaces PII with placeholders), the heavy model processes only clean text, and the response is unmasked before returning. Enterprise compliance without crippling AI capability.
Persona Extractor TypeScript
Extracts structured behavioral personas from writing samples — communication style, decision-making patterns, values, expertise markers, and 15 behavioral dimensions. Feed it emails, docs, or feedback; get a portable PERSONA.md that evolves over time. The cognitive fingerprint that demographics miss.
AI Cost Estimator TypeScript
Agentic workflows cost 10-50x more than the pricing page implies. This calculator models what no other tool does: context accumulation across multi-step agent loops, tool call overhead, orchestration pattern multipliers, and prompt caching savings. Eight interview-ready presets with dual API/Bedrock pricing and per-component stack breakdowns.
All deployed and live at seekgb.com
I've spent 12+ years building platforms at Microsoft (Power BI/Synapse, Windows Shell), T-Mobile, Trend Micro, and Qualtrics. The recurring problem: powerful infrastructure exists, but the people who need it can't reach it. These tools are my way of closing that gap — building the missing pieces I couldn't find when I needed them.