AI for Game Personalization with Quest Selection & Dialogue

Executive Summary

TokenMinds has helped Project J boost game engagement. The team struggled with poor quest fit and dialogue that felt generic. We delivered targeted personalization that matches content to each player while keeping all content developer-approved. This preserves creative control, eases integration, and prevents lore drift. 

Key developments we delivered: 

• Behavior-based quest selection that uses player signals and language settings to pick from a curated quest pool

• Adaptive NPC dialogue and tone that match player profiles, including accurate Thai localization

Project J

Industry: Gaming

Focus: In-game personalization (quest selection & dialogue)

Client’s Objective

Build an AI layer that personalizes gameplay without changing core content. The solution should:

• Select the most relevant quest per player from a developer-approved pool using behavior signals.

• Adapt NPC dialogue and tone to player profiles, with Thai localization support.

Client’s Challenges

1. Static quest matching

Players often received quests that did not fit their behavior or skill.

2. Generic in-game dialogue

NPC lines and tone did not adapt to player style or decisions. The Thai language needed to feel natural.

3. Inconsistent localization 

Existing text lacked natural and culturally correct Thai rendering.

4. Strict content control requirements

Personalization had to use a pre-uploaded, developer-approved quest pool only. No AI-generated quests.

TokenMinds Solutions

QuestPilot

QuestPilot is a behavior-based selector for games. It reads player signals and language to match difficulty and theme. It returns one quest ID and variant from a developer-approved pool via standard endpoints.

QuestForge

QuestForge is an adaptive dialogue engine. It fits NPC tone and lines to player style and decisions, including natural Thai. It returns a localized dialogue payload after the quest is selected.

QuestPilot

TokenMinds built this feature to boost quest relevance and session quality. This solution matches the requirement to keep content under developer control while personalizing the next quest for each player.

1. Analyze player signals

Reads completion time, retries, decisions, and playstyle.

2. Detect language & locale

Selects the correct quest variant for each player.

3. Match quest difficulty & theme

Uses curated tags from the developer-approved quest pool.

4. Return a clear result

Sends one quest ID and its selected variant through the endpoint.

5. Under developer control

Selects only from the quests team uploads and tags. It never generates new quests. 

QuestForge

TokenMinds built this feature to boost immersion and narrative engagement. This solution matches the requirement to adapt dialogue without changing story content or lore.

1. Personalize NPC dialogue

Adjusts tone and lines to the player’s style and decisions.

2. Support Thai localization

Produces natural Thai where relevant for the player.

3. Respect scene and character

Keeps dialogue consistent with lore and character voice.

4. Run after quest selection 

Shapes how the chosen quest is experienced in real time.

5. Return a clear result

Delivers a localized dialogue payload through the injection endpoint.

End-to-End Quest Flow

1. [QuestPilot] The game uploads curated quests with tags for difficulty, theme, and paths.

2. [QuestPilot] The game sends player telemetry and language or locale.

3. [QuestPilot] QuestPilot analyzes the signals and returns one quest ID with the correct variant.

4. [QuestForge] The game forwards the selected quest, player profile, and locale.

5. [QuestForge] QuestForge generates a localized dialogue payload that fits tone and lore.

6. [Game] The game renders the quest and dialogue and updates player logs.

Input:

• Quest metadata and tags

• Player activity logs and profile

• Language or locale

Output:

• One quest ID and its variant

• A localized dialogue payload

System Improvements at a Glance

Below is a short view of what changed in the game system after adding QuestPilot and QuestForge.

Technology Stack

Core engines

• TMX AI – QuestPilot SDK

LLM-based quest selection service using player behavior and quest metadata.

• TMX AI – QuestForge SDK

Lightweight personalization layer for NPC dialogue and tone after selection.

Interfaces

REST/JSON endpoints for quest upload, player telemetry, locale sync, and dialogue injection

Development Process

1. Prepare quest data

Set up the Quest Upload Endpoint and load a curated, tagged quest pool.

2. Connect player telemetry

Sync completion time, retries, decisions, playstyle, and recent map or item use.

3. Wire locale sync

Pass player language and locale for correct quest variants and dialogue.

4. Integrate QuestPilot 

Call the selection endpoint and receive one quest ID and its variant.

5. Integrate QuestForge 

Send the selected quest, player profile, and locale. Receive a localized dialogue payload.

6. QA and handover

Validate relevance and Thai rendering. Enable simple admin overrides and logging.

Anticipated Results

25% Higher Quest Completion

Quests fit player behavior better. Fewer abandonments mid-quest.

20% Longer Narrative Engagement

Dialogue matches player style and language. Players stay in story scenes longer.

20% Lower Mid-Session Drop-Off

Selection and Thai localization keep momentum. More players reach the next checkpoint.

Implement AI-Powered Game Personalization with TokenMinds