Documentation Index
Fetch the complete documentation index at: https://docs.mindset.ai/llms.txt
Use this file to discover all available pages before exploring further.
To make technology more human
We started with a first principle question; can we build technology that adapts to people, instead of people adapting to technology?
We believe that technology can bridge the gap between ambition and ability. We believe technology has become cumbersome and frustrating over time, often harming instead of helping people.
Yet when implemented correctly, technology unlocks information, freedom and creativity.
To stand at the forefront of the AI revolution
We also exist because the moment matters. Software, and the way work gets done more broadly, is going through the most significant shift in a generation. We want to be at the forefront of that shift, not watching it from the sidelines.
Being at the forefront isn’t a marketing line for us. It shapes what we build, how we hire, how we run ourselves. We use AI in every part of the company. We put it in our customers’ hands as fast as we can make it safe. And we treat our own operating model as something to actively evolve, not something to defend.
To evolve the roles humans play in an AI world
The hardest and most interesting question of this era isn’t “can AI do this?”. It’s “what does it mean for us to work alongside AI, every day, on everything?”.
We don’t think the answer is that humans get displaced. We think the opposite: the more capable AI becomes, the more the work moves toward the things only humans can do well, deciding what matters, shaping the taste of the product, carrying the judgement and context no model can reconstruct.
We take it as part of our job to explore that question openly, to share what we learn, and to help the people we work with, our team, our customers, our industry, grow into the new roles this transition creates. Memex AI is one of the places where this thinking is showing up in product form — the tool we built to keep humans at the centre of the decisions, while AI agents get on with the execution.
