The AI operating system Flowara works with
In-house systemClient: Flowara AI in-house systemSector: AI agencySince: July 2026
An in-house method: the context lives in files you can take anywhere, and every mistake becomes a written rule that the next job already applies.
The problem
Working with AI on several projects at once makes the context get lost between conversations. Every session starts from zero and mistakes repeat. What was learned with one client does not reach the next.
What was built
- A knowledge base in text files, ordered and linked, that does not depend on any tool.
- Working rules per project: what each agent can do, what it cannot and when it must stop.
- A log of mistakes that new rules come from, so they are not repeated.
- Handover summaries between sessions, to pick up without losing the thread.
- A catalogue of reusable capabilities taken from real projects.
- Strict separation of public and private material in every project.
What you can see
A video of how the system works, with examples that contain no client data.
What it shows
Context in files you can take anywhere, and rules that come from every mistake.