Your AI agent never learns from its own work — TokenRhythm wants to fix that
PrajwalTomar_ · x · 2026-09-16
Kicking off a long thread on TokenRhythm, Prajwal Tomar frames the problem: your AI agent never actually learns from its own work — it can fix a bug, figure out what went wrong, and still make the same mistake tomorrow, because none of that experience reaches the model underneath.
TokenRhythm aims to change that by turning useful agent runs into trainable data, via a stack of OpenSquilla (execution), the TokenRhythm API (model routing), and NeoHorse-1 (models trained from those runs).
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