How we work.
One Brain engine holding thousands of scoped brains, a growing bench of virtual employees, guardrailed playbooks for guaranteed quality, multiple LLMs working in harmony, one universal console, and compute that lives wherever the work needs it. This is the operating model behind every division we run.
People to create. Virtual employees to carry the load.
It's the lesson 25 years of hiring taught us: repetitive work quietly burns people out. So we drew a clear line. Virtual employees run the repetitive, high-volume work without tiring — and the people we hire are the creative minds who direct them, set the standard, and make the calls only a human should.
Every request runs through that pairing: human judgment on top, tireless execution underneath. It's why our teams stay small, senior, and genuinely creative.
One Brain engine. Thousands of brains, each scoped to the job.
Magora doesn't run on one big knowledge base. The Brain is an engine that holds thousands of brains — one per entity, per project, per division — each carrying exactly the knowledge its work needs. Real people feed them: decisions written down, playbooks authored and reviewed, customer history, code and process all curated into the right brain, the way we actually want it used.
Every brain is governed. Employees and virtual employees are granted privileges to specific brains, and use them only inside the playbooks and workflows they're cleared for. The engine can even compose new brains out of existing ones — assembling sources by ruleset — so a fresh use case gets its own purpose-built brain in minutes.
And the Brain keeps every relation straight: which brain belongs to which entity or project, which person or virtual employee may use it and with what privileges, and every execution that drew on its knowledge. That web of relationships is what makes the rest of the model possible.
Virtual employees and virtual hands, matched to the task.
A virtual employee owns a role end to end — client success, content, engineering support. Virtual hands are narrower: a single capability (research, drafting, monitoring, first-pass QA) dispatched into any workflow that needs it. Together they amplify every person on the team instead of replacing them.
See what we doTalk to a virtual employee like a colleague. A playbook keeps it honest.
There's no dashboard to configure and no prompt to engineer. You ask, hand off, correct — exactly like working with a person. Behind that conversation sits a playbook: a pre-trained, tested, guardrailed workflow that keeps the output consistent no matter who asked, what day it is, or which model answered.
Playbooks are what turn "an AI replied" into "the work was done right."
One request, one guaranteed-quality pipeline.
Every task — whatever the division, whoever asked — moves through the same operating pipeline. Nothing skips the guardrails.
Context loaded
Brain pulls relevant history
VE picks it up
Right virtual employee, right role
Playbook runs
Guardrailed, pre-trained steps
Model routed
Local or premium LLM, by need
QA check
Automated + human-in-the-loop
Delivered
Logged, costed, traceable
Local and premium models, working in harmony.
No single model runs everything. A router classifies each request and sends it to the model that fits — a fast local model for routine work, a premium model when reasoning gets hard — so quality never depends on which LLM happened to answer, and cost never spirals.
A single chat console runs the whole company.
Tasks, approvals, reports, hand-offs — one universal console ties every division together. Whether you're managing content, code, or customers, you talk to the same interface, and it routes you to the right virtual employee for the job.
- Cross-division visibility, one login
- Every conversation is provenance-tracked
- Works the same on desktop and mobile
Hundreds of nodes. The right node for the right task.
Sensitive workloads run on our own hardware; burst workloads spill to the cloud; light tasks run at the edge, close to the user. A task never cares which node answers it — only that the right one does, and that capacity scales up or down on demand.
About the operating model.
See the model at work in our divisions.
Every division we run — and everything we build — runs on this exact operating model. Take a look, or come say hello.