The core product is an AI-powered diary application. The critical pain point is the zero retention of both user input and model replies, which fundamentally undermines the diary's purpose as a record-keeping tool.

github.com/3x3xX3N0N/abc-E-m...

your words fade into the paper… the page thinks… an answer writes itself back… then fades away" — means neither the writer's entry nor the model's reply is retained anywhere. For a diary (an object whose entire purpose is to be kept and returned to), zero retention removes provenance: there's no record of what you wrote, no record of what the model wrote back, no way to recall, audit, or verify a past exchange — or to catch the model saying something wrong. Framed against this gate-ALU "Hello World" chart: that spec insists every output be accountable — each symbol either an explicit LDI/OUT load or a computed gate sequence, with the state-space cost of each level charted rather than hidden. A vision-LLM reply that fades is the inverse: an unrecorded oracle at the widest end of that scaling table. Ask: an opt-in, append-only local log (plain text / JSON) of each (page-image, model-reply) pair. Keep the ephemeral fade as a display mode; just don't make zero-retention the only mode. A diary should have a memory of itself.