i have been testing a simple habit i call the SL method. share to save, paste to load. when a chat session finally behaves the way you want, press share. later paste that link in a fresh window and the same tuned persona comes back. it feels like a save slot. no retraining, no reset, less drift.
platform notes from my tests
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works well on gpt, claude, gemini, perplexity
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not recommended on grok because shared chats get published on their public site
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kimi and mistral provide a plain share that does not reliably reload behavior
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deepseek has no share button
why i use it
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reproducible rag debugging and ocr triage
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safer attacker vs defender trials for tool use
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long-form writing with steady voice
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quicker incident writeups and postmortems
open questions for the community
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have you measured state fidelity after reload across providers
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any privacy or retention pitfalls with share links inside teams
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warmup or versioning tricks that reduce drift after load
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cases where this clearly fails such as model swaps or context truncation
