How can game writers keep final control of AI-generated dialogue?
For a game writer reviewing AI-generated dialogue, the key is to separate what the story cannot change from what a character may say in different words. Put canon, plot beats and character rules into a concise scene brief; let the model suggest lines only for clearly marked open slots; then have a writer approve, reject or rewrite each candidate. Record the accepted line and the reason for the decision so the approved text—not an unreviewed suggestion—becomes the working script.
Start with the scene’s nonnegotiables
Before generating dialogue, write down what must remain true in this scene. Include the scene’s purpose, its place in the sequence of events, facts already revealed to the player, clues the scene must convey, and rules that constrain what each character knows or can do. These are not stylistic prompts. They are conditions the final line must satisfy.
A useful distinction is between fixed content and open expression. Keep a clue, a plot rule, a revealed fact, a required choice, or a specific action fixed when a change could confuse the player or break later events. If the player must learn that the west gate is sealed, for example, the line must communicate that fact. The sentence carrying it may still vary if the wording does not obscure the information or imply something else.
Leave room for surface phrasing and optional flavor: a greeting, a transition, a pause, or a character’s nonessential reaction. A character might deliver the same warning tersely or with dry humor, provided neither version alters the warning, contradicts the character’s rules, or creates an unintended promise. Mark an element as open only when the writer can accept more than one valid expression of it.
Give the model bounded open slots
Prepare a handoff that distinguishes source material from permission to improvise. Supply the relevant canon and character rules, identify the beat the scene must reach, and mark the exact line or exchange where candidates are wanted. For each open slot, say what the line needs to accomplish and what it may vary. Avoid asking for a complete scene when the task is to fill a single response; a wider request gives the model more opportunities to invent transitions or facts that the writer did not authorize.
Character rules should be concrete enough to review against a line. “Mara avoids giving direct orders” is more useful here than a broad label such as “Mara is guarded.” Rules can cover vocabulary, knowledge, relationships, speech habits and boundaries on what the character would reveal. They guide review; they do not guarantee that a model will follow them. A candidate that violates a rule still needs to be rejected or rewritten by the writer.
Treat every generated line as a proposal. Do not let candidate text silently replace approved script text, and do not treat fluent phrasing as evidence that a line is consistent with canon. The writer’s task is to compare the proposal with the scene brief and decide whether it earns a place in the script.
Use a review sheet that captures the decision
A compact sheet makes the handoff and decision visible to anyone revisiting the scene. Give every candidate a stable scene and slot reference. Record the decision at line level, especially when several alternatives target the same beat.
An illustrative line review
Here is a short illustrative entry for a fictional scene:
The example demonstrates how to document a decision; it is not a claim about a tested model or production outcome. In an actual review, link the row to the relevant script location and keep the approved wording easy to distinguish from rejected candidates and drafts. If a writer changes a candidate, store the final line and a concise reason—for instance, “rewrote to retain the east-route fact.” That record helps another writer understand what the approved line is meant to preserve.
Review the line against facts, beat and character
Read each candidate in context, then check it in a deliberate order. First, does it convey the required information accurately, without disclosing a fact that should remain hidden? Second, does it preserve the intended beat and leave subsequent events possible? Third, does it fit the speaker’s knowledge, voice and established rules? Finally, does any improvisation add a promise, clue, motive or world detail that the brief did not authorize?
If a candidate fails a nonnegotiable, reject it or rewrite it; do not rescue it just because the phrasing is attractive. If the required content is correct but the line sounds wrong for the character, keep the fact and change the wording. When the problem is ambiguous—perhaps the brief does not say whether the character knows the clue—resolve that canon question before accepting a line that depends on an assumption.
Approval should apply to the reviewed text in its scene context. If the line is later changed, the new wording needs review against the same constraints. A record of the accepted text and reason provides a practical handoff: it tells the next editor what wording is current and what story condition the decision protected.
What research supports—and what it does not
Research on human–AI writing can inform interface and control choices, but it does not establish a ready-made game dialogue production pipeline. Arnold and Kim’s 2025 In2Writing paper studies interaction designs for human control in text revision, including predictive-text interaction and highlighting possible edits. It is evidence about co-writing interaction, not proof that a particular game review sheet or approval workflow works in production. Read the paper in the ACL Anthology.
Zhong and colleagues’ 2023 EACL paper investigates writing-mode controls for collaborative fiction writing and evaluates how those controls relate to author intention. It concerns writing-mode control and collaborative text generation, not final approval of dialogue in a shipped game. Read the paper in the ACL Anthology. The review sheet and fixed-versus-open distinction above are editorial recommendations derived for this game-writing task, not findings claimed by either study.
Keep authorship decisions reviewable
A reliable handoff gives the model a bounded invitation and gives the writer a clear decision at the end. Lock the clues, plot rules and revealed facts that the scene depends on; open only the wording and flavor the writer is willing to vary. Keep candidate lines separate from approved dialogue, record approve, reject or rewrite, and note why the accepted text fits. This preserves a human writer’s final control while allowing generated suggestions to contribute where the brief leaves room.