What GPT-6 Astra chose to build

The first prototype of Loose End had a string, three pegs and four bells. It also had arrow-key controls that ignored short presses. A coordinating agent found the input problem and sent it back to the builder before the game was finished. That repair is part of GPT-6 Astra's first Choice batch . I asked for three independent experiments with room to choose their subjects. Three Astra agents ran at max reasoning, assigned something to play, explore or use. They produced a string puzzle, a supply-chain model and a tool for making a printed booklet, published on 4 September. The existing brief required prototype review before polish. The batch's curation record shows what the reviewer asked the builders to change. These were separate projects with corrections, not matched trials against another model. Short key taps did nothing In Loose End , you move the brass end of a finite string around the board. It catches around pegs, so a route that reaches a bell can leave less string available for the next one. Ringing all four bells is not enough: the string has to come home too. A played position in Loose End. The route taken around the pegs changes how much string remains; this capture does not show a completed game. The input fix made brief keypresses work. The later checks went further than reaching one bell: they exercised two winning strategies and retraced a long move sequence back to its starting point. Those checks concern the game's route rules and unwinding. They do not turn its planar taut-string model into a simulation of friction or elastic rope. It remains one authored course. Put both order histories on the same scale The review request for The Order Echo concerned how to see a comparison. Its shop, wholesaler, depot and factory could react to the same demand under different ordering rules, but the reviewer wanted their traces visible on a shared scale, with the ingredients of each order exposed. The finished interface lets you select a week and stage to ins