The published method never works the first time. Your lab's real version does.
LabOS captures how your lab actually runs each protocol, the local forks and the unwritten why, so it survives turnover, an audit, and the next person who has to run it.
Four flows. One place for how your lab actually runs.
Every lab loses its hardest-won knowledge when a person leaves, and re-teaches it to the next. LabOS is the system that stops both. Each flow below is fully clickable in this prototype; take the guided tour to see them in story order, or open any one directly.
Your protocols live in people's heads. Make them findable.
Lab setup: connect existing material and LabOS builds the lab's knowledge graph and a default onboarding journey.
Stop re-teaching the same thing to every new hire.
New-hire journey and competency sign-off: a personalized path for a new rotation student, gated on verified competence rather than view counts.
Answers from your lab's real method, never an invented step.
Ask the Lab Brain: a grounded, citation-bearing co-pilot over this lab's own protocols that refuses to invent a hazardous step.
When the expert leaves, the know-how stays.
Skills matrix and tacit capture: see who can do what, where the single-points-of-failure are, and capture knowledge before it walks out the door.
Why it keeps working
Video is leverage, not the point. Your knowledge stays useful because three layers work together, and they compound with every interaction.
The Lab Knowledge Graph
01A typed, per-lab graph whose unit of record is this lab's locally-forked protocol, not a generic one. Roughly 70 to 90 percent of real protocols are locally modified.
The intelligence layer
02A co-pilot that reads and reasons over the graph and mints a new structured row on every interaction. It cites a source or abstains, never an invented step.
Competency verification
03Turns “I watched it” into an audit-grade “verified to do this lab's version of it,” bound to a person, a skill, and a protocol version.