hexisteme is an independent collection of software, data, and engineering notes. The notes document failures encountered while building and operating local automation, agent systems, and media or app pipelines. They focus on the evidence that exposed a failure and the change that followed.
Published by hexisteme.
AI tools assist with research, drafting, code, and checking. Their output is not treated as a source by itself. Articles distinguish observed facts from calculations, scenarios, and inference where that distinction affects the conclusion. The linked source and stated observation date are the record readers can inspect.
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