Our process - How we work

We start by listening to how experienced workers actually think through their work. Rather than forcing rigid step-by-step procedures, we understand that expertise is built on heuristics, judgment calls, and contextual rules.

Traditional vendors try to map everything into flowcharts, but real work isn't that simple. We speak directly with the people doing the work to understand their mental models and the exceptions that make them experts.

Our goal is to identify where AI can handle the routine data gathering and assembly work, leaving experts free to apply their judgment to the decisions that actually require human insight.

We build iteratively, starting with the smallest possible solution that provides immediate value. Rather than grand roadmaps, we focus on measurable improvements to workers' daily experience.

Our development process respects expert knowledge by building tools that adapt to how people actually work, not forcing them to change their proven approaches. We validate each iteration with the people who will actually use it.

Transparency is key—workers see progress regularly and provide feedback that directly shapes development priorities. No black boxes, no surprises, just steady progress toward tools that genuinely make work better.

True success means knowledge workers—whether employees, contractors, or freelancers—gain genuine autonomy, not just efficiency that gets exploited. We're the "no manager" platform that measures outcomes without surveilling how people spend their time.

Our autonomy metrics focus on boundary violations: unwanted off-hours usage and whether quality outcomes are being achieved within reasonable timeframes. High performers who choose to excel for their careers are supported, not penalized.

If quality and delivery remain strong while forced overtime drops, that's success for everyone. If clients or employers start demanding more output just because tasks got faster, our metrics flag that as exploitationrather than progress.