Beyond chat wrappers: designing stateful, multimodal AI apps as interaction conductors

dr_cintas · x · 2026-10-16

The author argues most consumer AI apps are static chat wrappers, while real learning apps need dynamic, stateful interaction flows. He breaks down four pillars of building a live learning loop: pacing output like a coach instead of dumping text; millisecond-synced voice/canvas/cards in a live workspace; full-duplex audio with checkpoint recovery so side questions don't kill the main session; and a stateful memory graph compiling friction points into persistent cross-session state. His thesis: interface design is moving from content-driven generation to interaction-driven orchestration.

Original post →

More from coding & agent

coding & agent channel →