Codex Replaced $700 Software, but AI Design Still Does Not Know the Size of the Wall

For the “ToTheMoon tonight” scene, the decisive point is this: the question establishes a test: what changes, who benefits, and who is accountable for failure.

The boundary of the “ChatGPT in Excel” case is defined by this point: ChatGPT can assemble spreadsheet formulas and logic, but the value is a reliable, checkable result on your real data, not a flashy demo.

The practical meaning of “The AI revolution in design: a 3D-modeling case” is that a model convincingly shows a room, color, or furniture, but dimensions often come from nowhere, so a 3D-modeling case tests where the tool actually helps and where the physical world's exact measurements are still required.

The practical meaning of “Real case: ChatGPT helped calculate the paint, tools and opening for the wall” is that the most convincing value looks ordinary — it shortens the path from an unfamiliar task to a clear list of tools and materials, even without completing the purchase.

The practical meaning of “Case: how Codex replaced $700 software” is that instead of a universal $700 product, a model can build the exact function for one specific job, and that is a serious threat to small B2B software.

The discussion of “Is there any room for Excel and Word in the old form?” yields a practical test: models replace expensive digital wrappers, so the interface loses value where the needed function can be generated, but tools survive where precision and control over details matter.

For the “New ChatGPT memory function: interesting, weak implementation” scene, the decisive point is this: showing which memories an answer relies on is the right idea, but the implementation can still forget what matters and confidently use what was incidental.

The decision in “Codex, fast mode, and the chaos of OpenAI models” depends on one criterion: too many modes and versions push the choice onto the user; a strong tool should not make you guess the right engine — the value is in reliable daily work, not in the number of switches.

The boundary of the “AI's limits in design: a case with colors and dimensions” case is defined by this point: the model shows a convincing room, color, or piece of furniture, but the dimensions appear from nowhere and do not fit the real space, so a color sensor and exact measurements still matter more than visual plausibility.

The “In China, everyone uses Claude, not local models” scene leads to a working conclusion: the market is decided by the quality of a specific job, not by national labels; AI already kills expensive interfaces, but engineering precision remains a boundary that a beautiful render cannot replace.