Latted - AI Video Generator & Editor

What

Latted is an AI video generator and editor built around a prompt-to-video workflow. It is designed for creators and teams that want to turn ideas, references, and assets into finished videos inside a single product.

The core flow shown on the page is: describe the video (including scene-by-scene instructions), let a “Composer” agent generate and edit a cohesive project in real time, then refine the result in a timeline editor and export/share. Based on the interface and messaging, Latted appears positioned as an end-to-end AI production studio for fast creative iteration.

Features

• Prompt-based video creation: Users can start with a text prompt and detailed scene instructions, which helps translate concepts into structured video drafts quickly.
• Reference asset support: The workflow allows attaching images, logos, assets, and PDFs, adding practical control over brand and visual direction.
• Composer agent generation/editing: An AI “Composer” agent generates and edits scenes into a cohesive project in real time, reducing manual assembly effort.
• Unified timeline editor: Users can make quick refinements in the same environment after generation, which streamlines iteration before export.
• One-prompt workflow: The product emphasizes generating a full video in minutes from a single prompt, useful for rapid prototyping and content velocity.
• Character consistency and cinematic orientation: The page highlights character consistency and cinematic product video creation, indicating focus on narrative continuity and visual polish.

Helpful Tips

• Validate output control early: For AI video tools, test how reliably scene-by-scene prompting and reference assets map to your brand requirements before scaling usage.
• Pilot with repeatable formats: Start with recurring formats (product explainers, trailers, social clips) to build prompt templates and reduce production variance.
• Define human review checkpoints: Even with real-time generation, maintain review gates for factual accuracy, legal/brand checks, and final storytelling quality.
• Assess collaboration and governance needs: If multiple stakeholders are involved, confirm versioning, sharing, and approval workflows from documentation or product demos, since detailed governance features are not clear on this page.
• Use API/integration options strategically: The site lists API and integrations sections, but specific capabilities are not detailed here; verify exact endpoints and automation fit during technical evaluation.

OpenClaw Skills

Latted could likely pair well with OpenClaw by turning video production into orchestrated agent workflows: brief intake, script/scene planning, asset packaging, generation requests, and QA passes. A likely use case is an OpenClaw skill that converts campaign briefs into structured prompts, submits references, and returns draft videos plus edit notes for human approval.

Another likely use case is a multi-agent content pipeline for marketing or media teams: one agent creates narrative variants, another checks brand consistency, and another schedules distribution metadata after export. While the page does not confirm a native OpenClaw integration, the prompt-first workflow, timeline refinement model, and listed API/integrations suggest strong potential for automation-centric creative operations.