MED-First Builder for Adult Learning & AI
Building minimum effective doses: working experiments at the intersection of adult learning, AI, and workflow design.
Build just enough to prove or kill an idea before scaling. Real experiments, real data, real decisions.
Think in parallel experiments, not single outcomes. Keep, pivot, or kill based on what the market shows.
Focus on genuine friction at the intersection of learning, AI, and workflow design. Not hype, not theory.
Possible Futures of Adult Learning Content
Transforms real-world media (podcasts, videos) + transcripts into rich, multi-modal learning experiences. Structured articles with highlighting, built-in audio, and guided reflection flows.
Testing multiple futures: podcast-driven learning, professional upskilling, or other adult segments. Looking for studio partners to explore and validate with real traction.
Safe LLM Workflows on Sensitive Data
Reversible anonymization layer for AI workflows. Replaces sensitive entities with code names, generates a JSON key, and round-trips outputs back to real data.
Attendance & Credential Infrastructure
Lightweight solution for knowing exactly who's "in the room" for training or events. Invisible check-in, clean record-keeping, foundation for richer credentialing.
Together: These MEDs show the thinking pattern—start with pain points, build small working experiments, then explore multiple futures with evidence-based decisions.
Find genuine problems at the intersection of learning, AI, and workflows—not theoretical gaps.
Create minimum viable experiments. Just enough to prove or kill the idea with real data.
Run parallel experiments. Explore multiple possible outcomes, not just one predetermined path.
Keep, pivot, or kill based on market signals and real traction—not attachment or intuition.
I'm looking for studio partners, VCs, and collaborators interested in exploring multiple futures for learning and AI. Whether you want to dive deep on Sublearn, integrate Blackout/Roll Call, or explore new MEDs together—let's talk.