Blog
Product updates, guides, and engineering notes from the team.

Prototyping Open-World Game Environments: Multi-Model AI Video Routing on One Canvas
How routing prompts across Kling, Google Veo, and Wan on a single canvas accelerates urban game concept design and cutscene iteration.

Character Consistency in AI Video: A Multi-Shot Production Workflow
Keep an AI-video character recognizable across shots with a continuity bible, reference images, controlled angles, prompt anchors, and frame-level review.

Negative Prompts for AI Video: Exclude Defects Without Fighting the Shot
Write short, visible, model-aware negative prompts for AI video and use a repeatable debugging process for anatomy, camera, text, and continuity defects.

How to Storyboard an AI-Generated Video Before Spending Credits
Turn a message into a shot list, continuity plan, prompt packet, and review workflow so AI-generated clips edit into one coherent video.

AI Video Aspect Ratios: Plan 16:9, 9:16, and 1:1 Before You Generate
Choose an AI video aspect ratio by distribution context, compose safe frames, avoid destructive crops, and build intentional horizontal, vertical, and square versions.

AI Product Video Prompts: Build Better Shots From Real Assets
Plan AI product video prompts for hero shots, demonstrations, texture details, and social ads while protecting product geometry, labels, and claims.

Image-to-Video Prompt Guide: Animate a Still Without Losing It
Prepare a strong source frame, prompt motion and camera behavior, preserve product or character identity, and troubleshoot image-to-video drift.

AI Video Camera Movement Prompts: A Practical Shot Guide
Choose and prompt pans, tilts, dollies, tracking shots, orbits, cranes, zooms, and handheld movement without creating contradictory camera directions.

How to Write AI Video Prompts That Produce Usable Shots
Build clearer AI video prompts with a practical subject-action-camera-scene structure, then diagnose motion, composition, and continuity problems.

Text-to-Video for Marketing in 2026: A Practical Playbook
Use AI text-to-video for ads, social, and product marketing while choosing models per shot and keeping cost and usage rights under control.

How Multi-Model AI Video Routing Works
What it takes to put Kling, Veo, and Wan behind one prompt box: a model registry, scene-aware endpoints, async webhooks, and idempotent billing.

Kling vs Veo vs Wan: Which AI Video Model Should You Use?
A practical comparison of Kling, Google Veo, and Wan across motion, prompt adherence, duration, cost, and the jobs each model best fits.