Daisychain - AI Prompt Workflow Platform

Built the foundation for complex AI workflows when GPT-3 had a tiny context window. AI workflow orchestration before it was mainstream.

Co-founded and led product development for a visual prompt chaining platform that solved the 4K token context window problem plaguing early 2023 AI applications.

Core Technical Achievements:

Architected TypeScript/React/Node.js platform enabling multi-step AI workflows with state management across prompt chains.

Pioneered visual prompt orchestration - A simple interface that made complex AI accessible to non-technical users.

Solved critical workflow bottlenecks by building error handling, variable interpolation, and multi-LLM provider integration.

Market Impact: Validated prompt chaining demand before it became industry standard - influenced development of similar tools across AI space.

Enabled previously impossible workflows - reduced multi-step AI tasks from hours to minutes Demonstrated market timing expertise in emerging AI infrastructure, identifying workflow gaps others missed

Key Innovation: Built sophisticated AI workflow state management and execution engine that handled complex branching logic and intermediate result preservation - technical patterns now standard in AI orchestration tools.

This role established my expertise in AI infrastructure, workflow optimization, and building developer-focused tools that unlock new capabilities.