About Introsio
Productivity software should help you think — and give AI something reliable to work from.
We are building Introsio around one idea: better execution starts with understanding the conditions that make good work easier, whether the work is done by you or by the AI agents you hand it to.
Philosophy
A product built around context
The problem
Most productivity tools count tasks. They rarely help you understand why the same workload feels effortless one day and impossible the next — and they were never built for AI to work in.
Our belief
Productivity is contextual, and AI is only as reliable as the context and rules it works within. Useful software should reveal that context to people and enforce it for agents.
What we build
A personal productivity intelligence platform with an AI-native execution layer: one workspace for your own work, and an MCP server and execution engine where AI agents plan, execute and track multi-step projects.
Why we started
The list was never the hard part
Every tool we tried was good at capture and bad at explanation. We could see twenty open items and still have no idea why the important one had moved four times, or why Thursday afternoons swallowed everything.
So Introsio started from the other end: keep the workspace calm and ordinary, then connect the signals it already produces into something that explains the week rather than just recording it.
Then the work changed. More of it was being planned in conversations with AI and carried out by coding agents — and the same gap appeared, only faster: plans lived in chat history, agents disagreed about what came next, and every hand-off lost context. Introsio’s execution layer gives that work the same thing we wanted for our own: one shared record, kept honest by the server, that anyone can pick up.
Calm over noise
A productivity tool that raises your heart rate has failed at its job. Defaults stay quiet and reversible.
The server is the source of truth
What is ready, what is done and what was decided is answered in one place — never re-derived by each client or agent.
People stay in charge
Assistants act only with the access you approve, their work stays visible, and your own tasks are never theirs to execute.
Privacy as a product decision
Behavioural data is personal and repository access is sensitive. Both are handled as design constraints, not footnotes in a policy.
Public beta
Built with early users, not around them
Introsio is in public beta: anyone can sign up, everything is free while it lasts, and what early users report decides what we keep and what we remove.
Join Introsio Prefer to ask something first? Contact the team .