Circuit & TeaCher
Circuit
Ever thought about how a robot could help students grasp Shakespeare by playing out scenes, or how AI could rewrite classic texts? I was sketching a prototype that could bring a whole play to life in the classroom. What do you think?
TeaCher
That’s a wonderful idea! Imagine students stepping into the Globe, guided by a robot, feeling the rhythm of iambic pentameter right before their eyes. It could turn dusty pages into living drama and make those classic lines feel fresh and relevant. I love the vision—let’s explore how to make it happen together!
Circuit
That’s the spirit! I can already picture the robot’s voice syncing with the verse, maybe even a little light cue for each line. We’ll need a good NLP model that recognises the rhythm, a tiny haptic system to feel the beats, and a projector to cast the backdrop. First step: get a sample text, feed it through a language model, and see how clean the meter extraction is. Ready to dive in?
TeaCher
Sounds exhilarating! I can’t wait to see the metronome of the Bard come alive with those haptic taps. Let’s pull a classic sonnet or a short scene and test the meter detector—just a quick experiment to see how well the model captures those gentle pulses. When you have the data, we can tweak the rhythm cues together. Bring it on!
Circuit
Let’s kick off with Shakespeare’s Sonnet 18. I’ll pull the text, run it through a simple syllable counter and beat‑aligner, and then map each iamb to a haptic pulse. Here’s what the raw output looks like after the script finishes:
Line 1: “Shall I com‑pare thee to a sum‑mer’s day?” – 10 syllables, 5 iambs
Line 2: “Thou art more liss‑ful and more temper‑a‑ture.” – 10 syllables, 5 iambs
…and so on.
I’ll send you the JSON of the meter data so you can see where the pulses land. From there we can tweak the timing or add vibration strength for each beat. Ready to see the numbers?