Research
Accelerate hardware experiments with AI-assisted sensor reading and actuator control.
Challenge
A grad student spends months building the rig, weeks writing scripts, then the data's not reproducible because someone changed a calibration constant in a Google Doc.
With afrog.ai
afrog.ai captures the full experimental loop — hardware definitions, calibration, agent decisions, raw telemetry — into a single reproducible artifact you can cite or share.
Example run
agent run · lab-b / rig-01 / thermal-chamber
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The loop
01 · Define
YAML protocol → agent plan, checksum logged
02 · Read
4-wire Kelvin probe + chamber thermistor
03 · Act
PID drives chamber, samples at 500ms
04 · Log
Parquet dataset + full agent trace
Put AI in control of your research.