Alec Wilcock
Social Media Lead at ElevenLabs and AI educator/content creator who creates video content and tutorials about AI creative tools, including ElevenLabs products such as ElevenCreative and Music v2.
Claude Turns Product Links Into Editable AI Ad Workflows
ElevenLabs presents its MCP for Claude as a way to manage AI ad production through chat while retaining access to the underlying ElevenCreative Flows workflow. In a tutorial demonstrated by Alec Wilcock, users can start with a product link, approve stills and voice takes, revise motion or narration, and reformat a finished ad, while Flows exposes the separate image, video, voice and composition steps. The process still depends on user decisions—and on manual product details when a linked page cannot be retrieved.
MiniMax H3 Unifies Video, Image, and Audio References in One Generation
MiniMax argues that video generation’s separate tools for motion, subjects, frames and audio can be consolidated into H3, a model that takes text, image, video and audio references in a single generation. Presented by ElevenLabs in its ElevenCreative platform, H3 produces five- to 15-second clips with generated audio, timecoded multi-shot prompts and a 2K regeneration pass that retains the original instructions and references. H3 Max, built by fal from MiniMax’s published weights, trades that 2K option for a claimed roughly three-second generation time for a five-second 768p clip.
Four Continuities Make the Fall-Through-Feed Effect Work
ElevenLabs’ tutorial argues that the “fall through the feed” effect is an editing illusion built on four continuities: a consistent subject and falling pose, scenes that begin empty and end with the subject exiting below frame, and identical upward motion for footage and social-media interface. Its workflow uses Nano Banana 2 and GPT Image 2 to establish reference and style frames, Seedance 2.0 to animate the falls, and Premiere Pro to synchronize the posts into a continuous scroll.
Character Reference Sheets Make AI Film Workflows Reusable
ElevenLabs’ Alec Wilcock argues that AI short films should be built around continuity rather than motion: establish the character, visual style and composition in still images before spending credits on video. His *Little Wanderer* workflow uses a reusable character reference sheet, narration-led story beats, and start and end frames to constrain each shot, then assembles and trims the results in Studio. The node-based Flows canvas, he says, makes the project reusable by allowing an upstream character change to regenerate the same film structure with a new protagonist.
AI Agents Assemble Documentary Motion Graphics From a Structured Brief
ElevenLabs presents a workflow for producing scrapbook-style documentary videos in which a tested visual prompt, persistent background and repeated reference assets establish continuity before scene generation begins. Claude converts a script and creative direction into a production brief, while ElevenCreative Flows builds the canvas, generates storyboard options and animates selected scenes. The company’s argument is that agent-assisted production can reduce manual setup without removing the creator’s role in supplying assets, choosing variants and revising the edit.
Controlled References Turn One Photo Into Broadcast-Style Football Footage
ElevenLabs’ Alec Wilcock argues that convincing AI football footage depends on production control rather than a single successful video generation. His workflow uses a face image and multi-angle character sheet to hold identity and kit constant, plans keyframes around a three-shot edit before animating them, and fixes visual drift at the image stage. Video, stadium sound and commentary remain separate layers so creators can trim and revise the sequence without rebuilding it.
Gemini Omni Flash Turns Prompted Briefs Into Full-Context Video Edits
Alec Wilcock presents Google’s Gemini Omni Flash in ElevenCreative as a prompt-driven video editor that can alter footage while preserving the original shot’s motion, framing and subject consistency. His central argument is that the model works best when prompts read like edit briefs: specify the change being requested, then spell out what must not change. Across examples including restyling, relighting, object replacement, subtitles, titles and full Reel edits, Wilcock treats precision and constraints as the difference between a usable edit and a generic regeneration.
ElevenLabs Music v2 Adds Section Editing and Mid-Track Genre Shifts
ElevenLabs’ launch walkthrough for Music v2 presents the model as a more controllable generative music system, not only a higher-quality one. Alec Wilcock says the new version improves vocals, instrumentation, arrangement, multilingual output and dense vocal delivery, while adding section-by-section composition, targeted inpainting and the ability for one song to move between genres without losing coherence. The company also says the model is trained on licensed data and that generated tracks are cleared for commercial use.