What it does
Against a keyword baseline, the rule lights all fifteen red at the word urgent, while Jev reads 'not urgent but I want a reply today' as caution. Only Jev has an output for unsure — low confidence dims the light.
Apps & data pipelines
A physical hello world: one line of text becomes the colour, count, brightness and blinking of fifteen addressable LEDs on an obniz board.
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Against a keyword baseline, the rule lights all fifteen red at the word urgent, while Jev reads 'not urgent but I want a reply today' as caution. Only Jev has an output for unsure — low confidence dims the light.
Your developer can adapt this project to turn text messages into physical lights. They will need an obniz device. They also need an access key that connects the app to the TypeSafe AI service. The code asks the AI to judge message urgency and changes the lights to match.
Your developer can change the AI questions to fit your needs. They could include the sender or the time of day to adjust the judgment. The project limits the maximum brightness of the lights. This prevents the device from drawing too much power.