An applied AI lab building products, agents, and workflows.

A self-evolving todo app where users manage tasks and ask the interface to rewrite itself. Safe requests launch a cloud agent to update the live product.

A visual breakdown of how an AI agent thinks, calls tools, handles approvals, and turns context into useful work.

A live demo of an AI agent that generates UI on the fly — components, layouts, and interactions rendered as the model reasons.

A real $1 payment from your terminal to Dash via Stripe Link and the Machine Payment Protocol — agent-issued token, push approval, no card form.

An agent that scores new NYC listings against your preferences and only emails when something clears the bar — pure signal, zero noise.

Describe the task, answer eight questions, get the simplest system that actually works — from no AI at all to a multi-agent loop. The fastest way to disqualify the wrong architecture before code.

Drop a job post link and upload a resume or LinkedIn PDF. The agent scores fit and gives five moves to improve the application.

The shape of a tool decides what an agent can and can’t do. A one-line `sendEmail` next to a structured `queueEmailForApproval` — schema, evidence, confidence, approval gate, audit trail.