AI Model Integration

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We are excited to announce one of our most requested features — native AI model integration directly within the TaskForge pipeline dashboard. This update enables teams to connect, configure, and deploy AI models without ever leaving the platform.

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Real-time inference pipeline

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Models connected to your workspace can now process tasks in real time. The inference engine has been redesigned to support sub-100ms latency for most standard model sizes, with automatic load balancing across available compute nodes.

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• Connect models via API key or direct deployment
• Configure inference parameters per task type
• Monitor model health and throughput from the dashboard
• Auto-scale inference workers based on queue depth

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Model versioning

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Every deployed model now has a full version history, allowing teams to roll back, compare outputs, and A/B test model variants in production. Version diffs are surfaced directly in the task audit log for full traceability.

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Automated task routing

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Tasks can now be routed to specific models based on configurable rules — content type, priority tier, team assignment, or custom tags. This eliminates manual handoff steps and reduces average task completion time significantly.