Master Convai with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Explore the key features that make Convai powerful for customer support agents workflows.
AI characters with computer vision capabilities that perceive their 3D environment, recognize objects and people, track movements, and incorporate visual context into conversational responses for truly immersive interactions.
Open-world RPGs where NPCs comment on player equipment, react to environmental changes, and provide contextually relevant information based on what they can see in the game world.
High-quality voice generation across 65+ languages with 500+ voice options, automatically synchronized with realistic facial animations, lip movements, and emotional expressions for lifelike character presentation.
Narrative-driven games and training simulations requiring professional-quality character dialogue that maintains immersion through natural speech patterns and visual authenticity.
Characters can perform complex in-world actions triggered by conversation context - unlocking doors, transferring items, activating mechanisms, or triggering quest events based purely on natural language interaction without scripted triggers.
Adventure games and interactive experiences where player conversations directly influence gameplay mechanics, allowing for emergent storytelling and dynamic quest progression.
Native plugins and APIs for Unreal Engine, Unity, PlayCanvas, and Three.js with comprehensive documentation, sample projects, and developer support for seamless implementation across development environments.
Multi-platform game studios and agencies that need consistent AI character behavior across different engine architectures and deployment targets without maintaining separate codebases.
Advanced character creation tools for defining personalities, backstories, knowledge bases, emotional models, and relationship dynamics that persist across interactions and evolve based on conversation history.
Long-form games and virtual worlds where players build relationships with AI characters over extended play sessions, requiring consistent personality and memory of previous interactions.
Convai processes each player interaction independently by default, meaning the AI character responds to individual players based on their configured personality and knowledge base. However, the character doesn't automatically maintain shared state across concurrent conversations. For multiplayer games requiring persistent shared context, developers need to implement custom state management through Convai's API to synchronize character memory and world state across player sessions.
Response latency typically ranges from 800ms to 2 seconds depending on network conditions, character complexity, and server load. Simple personality responses with basic knowledge queries usually process within 1 second, while complex environmental analysis or multi-step action sequences may take 2-3 seconds. For latency-sensitive applications, Convai offers optimization options including response streaming and cached dialogue patterns.
Convai characters maintain conversation memory within individual sessions and can be configured to remember player preferences, relationship status, and interaction history. However, persistent learning across sessions requires developer implementation of external data storage and character state management. The platform provides APIs for reading and writing character state, but true cross-session learning is a developer responsibility rather than an out-of-the-box feature.
For high-volume deployments, Convai offers paid tiers at $499/month (Indie/Pro) and $1,199/month (Scale/Studio), with enterprise customers typically negotiating custom pricing based on conversation volume, character complexity, and required infrastructure. Studios with millions of users should expect to work directly with Convai's sales team for volume-based contracts that include dedicated infrastructure, SLAs, and priority support.
Since Convai requires network connectivity for AI processing, server downtime or poor connectivity directly impacts character interactions. The platform provides fallback options including cached response systems and graceful degradation to pre-scripted dialogue. Enterprise customers can opt for on-premises deployment options for mission-critical applications that require higher uptime guarantees.
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Tutorial updated March 2026