Summer 2026 Pilot Prototype

Socratic Coach AI

Turning deep domain expertise and sound instructional design into reusable, testable AI Skills.

Behavior Before Infrastructure

Most AI products start with a chat box and hope the model behaves well. This platform is built from the inside out starting with a library of versioned, testable specifications that define precise agent behavior.

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Skills Asset Layer

Reusable instructional assets (SKILL.md + TESTS.md) capturing pedagogical or enterprise logic—not trapped in one-off chat prompts.

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Multi-Agent Routing

Dynamic orchestration engines that evaluate user context, map intents, and load specific architectural skills natively.

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Regression Evals

Automated test suites evaluating response quality and maintaining academic or enterprise integrity across versions.

🏆 2026 Presidential AI Challenge — Pennsylvania State Winner

Bio Buddy

An AI-powered biology study coach that guides student reasoning through Socratic questioning—not shortcut answers. Developed with Chris Killinger at Wyomissing Area High School, Bio Buddy embodies the same thoughtful AI adoption principles this platform is built on.

Watch the Demo

Built for Thoughtful AI Adoption

Whether scaling a K–12 computer science Socratic tutor or building stateful compliance orchestration frameworks for heavy enterprise operations, the Minich AI Platform decouples domain logic from application code.

Current Milestones

  • CS1 Unit 1 & 2 Tutor Skills — Validated behavior specifications
  • Skill Behavior Tests — Passing evaluation benchmarks (30/30)
  • Local Prototype — Next.js chat layer & agent routing logic
  • Vercel Edge Deployment — Global, low-latency live hosting pipeline
  • Durable State Memory — Auth, persistent profiles, and constructivist tracking