WorkLog AI

Overview

A work and task logging platform with two front doors: an authenticated workspace for people, and machine endpoints for agents. Both write to the same record, so autonomous work is visible in the same place as human work.

The problem

Once AI agents start doing real work, the work log fractures: people file tasks in one tool, agents emit logs into another, and nobody can answer what actually happened. Retrofitting an agent API onto a human tool usually means bolting a token onto a session-based system.

What we built

The machine interface is a first-class surface, not an afterthought — designed alongside the human workspace against the same underlying log. Agents post to API endpoints; people use an authenticated workspace; both produce entries in one timeline.

Worth knowing

• Designed for the case where most of the writes eventually come from software, not people.