AI Video Pipeline: Build One on a Node Canvas

The workflow preview above is not a diagram, it is a live pipeline you can open. Thirteen nodes sit in three stage groups: Script & Split, Generate & Voice, Animate & Assemble. A brief and a system prompt feed the Script Writer node, running Claude Sonnet 4.5. Its output splits two ways in parallel: a key frame prompt goes to Nano Banana Lite, and the narration goes to ElevenLabs for the voiceover.

The key frame and a motion prompt then feed a Veo 3.1 B-roll node, so the image you approved is the image that moves. B-roll and voiceover meet in the Assemble node, which composes the finished cut. When an edit needs more than one clip per video, the same pattern extends with the multi-shot video stitching API to sequence shots into one timeline.

That handoff chain, script to voice to frame to motion to cut, is the whole point of an AI video pipeline: no exports, no re-uploads, no pasting outputs between five tools. Each node reads the last node's output, and the graph is the documentation.

A faceless channel lives or dies on production volume: a script a day, a voiceover a day, visuals, an edit, over and over. That grind is exactly what a pipeline is for. Build the graph once, then run it every time you need an episode. Batch a week of topic briefs in one go and a week of videos comes back, each with its own script, voice, key frame, and B-roll.

Be clear about the boundary: Wireflow automates the production half, not the posting half. The pipeline outputs finished video files and URLs, delivered by webhook or API response to wherever your stack wants them. Uploading and scheduling stay in your hands, through whatever automation you already run. Wireflow works as the n8n alternative for the media-heavy half of that stack: it writes, voices, animates, and assembles, and your scheduler posts. What disappears is the nightly editing session.

Every published workflow is also an MCP tool. Connect Wireflow through the Claude connector and the pipeline shows up as a typed tool the agent can call: it sends a brief, the graph runs every stage, and asset URLs come back in the conversation. The same published graph answers plain REST calls, so a backend or a one-off script can start runs with no agent in the loop.

This is where a pipeline beats a single generator. An agent calling a one-shot generator gets a clip. An agent calling a pipeline gets script, voice, B-roll, and cut from one call, and can rerun any stage by sending a revised brief. Wire that into an agentic video editing platform loop and revisions get cheap: same graph, new input, new cut.

The template picks one model per stage, and every pick is a node you can swap on the canvas. Claude Sonnet 4.5 writes the script because this stage needs structured output, a script and an image prompt in one pass, more than it needs prose flair. Nano Banana Lite renders the key frame fast and cheap; step up to Nano Banana Pro when a hero frame needs finer detail. ElevenLabs handles the voiceover.

For motion, the template animates the approved key frame with Veo 3.1, the image to video AI pattern that keeps visuals on brand because the video starts from a frame you already saw. Seedance 2.0 is the swap when short-form pacing matters more than frame control. Remotion composition and the Compose Video node handle assembly, turning clips and audio into the file you ship.