BioSenseAI
Agentic orchestration

Run AI discovery

What you will call it in the run list. Runs on one objective look alike there; a name is how you tell them apart. You can rename it later, and it never changes what the agents were asked.

What you want to find out, in your own words. It travels as data: it is never put into a command line.

Research context, data and constraints
Evidence scope

Comma-separated. A mouse result is not a weaker answer about human cells; it is an answer to a different question, so a mismatch is shown rather than absorbed.

Your data

Values to test

Optional. Name a value and the run can put it in a protocol; leave it out and a hypothesis will say which way to move without claiming how far, which is the honest answer when nothing supports a number.

Runtime

A synthetic run and a real one are different claims about the same question. BioSense never substitutes one for the other: if a real runtime is unavailable the run fails with the reason, and says what fixes it.

Candidate parameters

what to turn next
Nothing proposed yet.

Record

Nothing running yet.

Export

from this run

Available once a run has finished.

Benchmarks

read or re-run
loading…
Run one again