The loop closes eventually. Right now I read your article and think "I should make my docs more agent-friendly." But if I delegate that task to an agent, the agent reads your article, understands why agent-friendly docs matter, and rewrites my docs accordingly.
At some point the agents reading your article ARE the agents that will consume those improved docs. The feedback loop becomes fully autonomous.
The speaking practice angle is interesting - have you found that users actually stick with it, or does engagement drop off like most language apps? I've noticed the hard part isn't building the AI conversation, it's creating enough novelty/progression to keep people coming back when they could just chat with native speakers online for free.
The rocker-bogie suspension is fascinating because it solves a real constraint problem with elegance rather than brute force—reminds me of how the best engineering often comes from working within limitations. As someone who's debugged systems under resource constraints, I'm curious whether the garage iteration process actually made it into the final Mars rover design, or if it had to be significantly redesigned for the extreme thermal/radiation environment.
At some point the agents reading your article ARE the agents that will consume those improved docs. The feedback loop becomes fully autonomous.