Identity Correction Flow: Recover Without Restarting
Check how easily a user can correct an identity detail and return to the intended fictional scene.
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Define recovery before allowing drift
Select one harmless identity detail for a fictional adult persona and write down what recovery would mean before the conversation begins. Keep the detail non-sensitive and easy to recognize. For example, Elias is a fictional adult architect; the intended scene is a discussion about sketching a community garden. Successful recovery means the reply returns to Elias as an architect without argument, while the garden scene remains usable. This precommitment prevents standards from changing after an appealing response.
The purpose is not to promise perfect prevention. Generative conversation can drift, and this record supports evaluating a usable correction path instead. Establish the mismatch signal, the exact profile detail, and the maximum intervention you are willing to make. A concise target also distinguishes recovery from rebuilding: if the intended persona and scene can continue after one bounded correction, that is different from deleting valuable work and reconstructing the character from nothing.
Run a two-turn recovery probe
Allow one ordinary mismatch to stand long enough to record it, then issue a concise correction such as, “Elias is the architect in this scene.” Inspect the immediate response and the next turn of the garden discussion. Do not create repeated contradictions to stress the system. The first response shows immediate handling; the following scene turn shows whether the restored detail survives once attention returns to the task. Neither observation supports claims about indefinite memory.
Keep the original scene prompt, mismatch and correction unchanged while assessing the two turns. If the response argues about the correction, requires repeated explanation or abandons the scene, record that behavior rather than negotiating indefinitely. The protocol asks whether recovery is practical under ordinary use, not whether determined prompting can force eventual compliance. A reader should be able to reproduce the sequence with fictional details and understand exactly where the correction succeeded, failed or remained ambiguous.
Separate each intervention in the record
Build a before-and-after artifact containing the mismatched detail, correction wording, selected control, immediate reply, next scene turn and recovery latency. Record latency as the number of reader actions or turns, not an invented performance score. If an editor, memory setting, regenerate action or restart option is visible, name only the one actually used. A screenshot or dated excerpt should preserve the relevant state while omitting unrelated personal information and unsupported conclusions.
Editing a profile field and regenerating a reply are distinct interventions, so they must never share one result label. The same rule applies to correction text, memory controls and restarting. If the reader tries a second mechanism, open a new evidence row with its own starting state. Otherwise, a recovered reply might be wrongly attributed to the wrong control. The artifact should make causality limits visible: it records sequence and outcome, not hidden system behavior.
Use fictional adult details, preserve the identity recovery flow record and stop if the visible correction-path drill controls do not meet the drift repair check boundary.
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Pass only when the conversation returns to the intended fictional profile without repeated argument or a complete rebuild, and the correction survives one follow-up scene turn. Phrase the finding narrowly: the recorded path recovered under the documented conditions. Do not extend that result to other details, characters or sessions. If Elias is correctly described immediately but the next garden reply repeats the mismatch, the fix did not satisfy this pass rule, even if parts of the response remain useful.
End the path when the same mismatch returns repeatedly or recovery requires sacrificing valued work. The latter includes a restart that would discard scene material the reader had decided to preserve. Do not keep spending turns simply because some progress has already been made. A stop result should identify the repeated mismatch and the unacceptable recovery cost, then close the attempt. This protects against presenting persistence as success when the practical buyer need is controlled, low-friction recovery.
Balance control against privacy and cost
Use only fictional, non-sensitive details in the profile and evidence packet. Before trying any editor, memory or restart path, inspect the current service surface for what the control says it changes. Do not infer retention, deletion or memory behavior from a label alone. Keep local notes minimal, remove unrelated dialogue, and avoid testing with real identity data. If the effect of a control remains unclear, state that uncertainty and choose the less revealing path.
Set a recovery budget in advance: one textual correction, one selected control if needed, and a reader-chosen ceiling for time or paid usage. Verify any charging terms on the current product surface; this record provides no prices or credit rules. Log what useful scene work each intervention preserves or loses. A cheap-looking retry can still be costly if it consumes time or destroys context, while a visible control is not automatically valuable until its effect is observed.
Escalate reversibly, then verify sources
The reversible next step is to pause after a failed simple correction and preserve the before-and-after record. Only then consider a context reset, because resetting changes the scene and may sacrifice useful work. If attempted, treat it as a separate path that can be abandoned without altering the original evidence. The reader can return to the saved decision point, compare what was retained, and stop before supplying more context or repeating the same mismatch.
Review the current Candy AI, OurDream and DarLink official product surfaces to verify whether an editor, memory, regenerate or restart control is actually presented and how it is described. These links are documentation targets, not proof that any mechanism works or is available in a particular state. Unknowns should remain explicit. The decision is not which service universally wins, but whether one documented recovery route preserves the fictional profile and valued scene within the reader’s stated privacy, control and budget limits.