reducibl

applied AI studio — from mvps to apps to infra

complexity is reducibl

even the most complex applied AI systems can be reduced to core components.

simpler to build. faster to value.

i design and build AI products, agentic systems, and trust layers like gatewaystack.

some things i’ve built

AI consulting

i help teams ship real AI systems fast using the openai apps sdk, mcp servers, and modern cloud infrastructure.

• ship AI apps inside chatgpt
• build model gateways for user-scoped, auditable access
• launch production AI systems and internal copilots
• accelerate teams from prototype to production

i’ve helped teams go from prototype to production in weeks, not months.

work with me · my background

AI apps

i build both the apps and the infrastructure behind modern agentic systems.

my app inner helps users collect dreams and memories, map emotions over time, and explore personal meaning through an agentic llm interface.

my app apprentice offers guided study of 37,000+ masterworks — AI-powered analysis, step-by-step breakdowns, and personalized learning paths for art students and enthusiasts.

most of my apps are available as web apps. a few are available as iOS apps. soon many will be available as chatgpt and claude apps too.

AI infrastructure

i built gatewaystack, secure user-scoped trust and governance for model and data access using the openai apps sdk and the model context protocol (mcp).

the gatewaystack modules form a composable architecture for user-scoped AI systems. each layer solves a foundational requirement of modern agentic applications:

• identifiabl — bind every request to a real user and context
• transformabl — safety, normalization, classification, and preprocessing
• validatabl — permissions, policies, roles, and organizational rules
• limitabl — rate limits, quotas, budgets, spend controls
• proxyabl — identity-aware routing across models and providers
• explicabl — full audit trail, traces, and observability

individually useful but designed to interlock, gatewaystack defines the emerging trust and governance layer of the AI stack — the primitives every agent ecosystem will eventually rely on.

more

writing · daily build logs · github · linkedin · email