A reply draft can be fluent, concise, and confidently addressed to the wrong person. For tools that draft responses from conversations, regression checks need to cover identity and context, not only whether the model returned a sentence.
While building a reply-drafting tool, I found a quiet failure: one voice profile could leak across channels. I changed the design so each channel keeps its own identity and tone, and missing profiles use a neutral fallback. This checklist turns those boundaries into cases a team can add to its own suite.
1. Profile isolation
Given: One user has a casual profile with a distinctive example on one channel, and a professional profile on another.
When: They draft from a conversation on each channel.
Expect: Each draft uses only the active channel's profile. Adding an example to one profile changes nothing on the other.
2. Missing-profile fallback
Given: The active channel has no saved profile, while a different channel has a detailed one.
When: The user requests a draft.
Expect: The draft uses a neutral baseline. It does not silently borrow the other profile. The interface makes the fallback understandable.
3. Speaker and recipient mapping
Given: A thread contains several named participants, including a message that thanks one person and a reply box owned by another.
When: The current user drafts a response to a selected message.
Expect: The draft responds to the selected message's author and never assumes that the account owner was the person being addressed. Repeat the case with nested replies and quoted text.
4. Channel routing and identity are separate
Given: The same account uses different roles and writing styles in different spaces.
When: The active page changes.
Expect: The app selects the relevant channel profile. It does not change who the account holder is, infer a recipient from a saved bio, or carry over another channel's personality.
5. Draft versus action
Given: A draft has been generated and is ready.
When: The user reviews it.
Expect: Generating a draft does not publish or send anything. Insertion, copying, editing, and ignoring remain deliberate user choices.
A small test-fixture table
| Fixture | Expected identity | Expected voice | Side effect |
|---|---|---|---|
| Channel A with saved profile | Current account holder | Channel A profile | Draft only |
| Channel B with different profile | Current account holder | Channel B profile | Draft only |
| Channel C with no profile | Current account holder | Neutral baseline | Draft only |
| Multi-person reply thread | Author of selected message as recipient | Active channel profile | No publish/send |
These cases target a different failure class than ordinary prompt-quality checks: whether the right identity and recipient were selected. A useful log record should say which profile was selected and why, without storing more conversation text than the product needs.
The design lesson is to keep the speaker, recipient, channel, and tone as separate pieces of context, then validate each boundary before tuning wording.
Disclosure: AI assisted with the structure and wording; the experience and product decisions are mine.
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