AI Video Production Workflow

Definition

AI video production workflow is the practical process by which creators turn scripts, references, images, prompts, model outputs, edits, sound, and review into watchable generated or AI-assisted video.

Current Synthesis

The current evidence does not support treating AI video as either a simple prompt trick or a full replacement for production. Across short-drama, film, television, and creator cases, Video Models lower the cost of trying visual ideas, but the workflow still begins with story choice, script structure, audience target, references, visual assets, and shot intent.

The sources sharpen a role shift. In AI short drama, costs move away from actors, sets, costumes, and shooting days toward script iteration, IP access, prompt/image/video generation, compute, selection, editing, distribution, and rights checks. In film and professional media, AI is strongest as previsualization, storyboarding, launch-video, scenery, or production-management support before final delivery. 《女娲之死》 adds the clearest small-team film example: AI compressed a stop-motion-like ten-minute work into weeks rather than years, but the team still needed script development, style choice, storyboard-first generation, model selection, shot deletion, regeneration, editing, sound, and polishing.

The resulting synthesis is role-shift rather than labor disappearance. As models improve, low-level “抽卡” may shrink, but AI Director-Core Workflow becomes more important: someone still has to define the scene, communicate intent, choose the right model, judge performance, preserve continuity, and decide whether the output serves the story.

Key Claims

• AI video reduces execution and trial cost, letting solo creators and small teams attempt work that previously required larger crews or expensive demo shoots.
• Production does not become automatic; labor shifts toward scripts, assets, references, prompts, model-specific generation, selection, editing, finishing, and review.
• Workflow advantage depends on taste, story, audience fit, rights control, platform feedback, and human judgment rather than model access alone.
• Professional film use often starts with previsualization and visual communication, while final delivery still needs stable control, editability, integration with live footage, and film-grade aesthetics.
• Short-drama cases show that low cost can expand supply, but distribution, paid traffic, platform review, settlement, and IP authorization still decide commercial outcomes.
• The “抽卡师” frame is transitional and incomplete: better models reduce some brute-force generation but increase the value of director language, shot diagnosis, and performance judgment.
• AI can support live-action production management without becoming the creative author of scripts, costumes, acting, or final taste.

Evidence

• Film-method rupture - EP277 对话贾樟柯（下）：我没有背叛真实世界，我只是在寻找电影的新可能 has 贾樟柯 distinguish AI from the film-to-digital carrier shift because AI may unsettle production roles themselves.
• Professional ideation - Open Source Wins, AGI Is Here, and Scorsese’s AI Toolkit with CEOs of Cerebras & Black Forest Labs frames Martin Scorsese’s use of Black Forest Labs tools as visual ideation and extends the workflow to storyboards, launch videos, scenery, and IP-controlled models.
• Human-authored television boundary - The Business of Heated Rivalry accepts AI for scheduling, budgeting, preparation, and data-heavy production support while keeping writing, costume judgment, and collaborative creative work on the human side.
• Film previsualization - E234｜未来实拍电影还存在吗？与导演陆川聊聊AI给影视人的恐惧与自由 has 陆川 / Lu Chuan describe prompts, Midjourney-style images, and video models compressing months of visual-effects communication into days.
• Short-drama category economics - 266.从红果到AI短剧：谁在革谁的命？ ties AI-video workflow to single-minute cost, creator entry, genre breadth, repeated generation, editing, and platform dependence.
• End-to-end creator case - 267.3000块成本，3.5亿次播放，AI短剧怎么在抖音挣钱？ shows 小果哥哥 / XiaoGuoGege using Doubao, 番茄小说 / Fanqie Novel, Seedance-style tools, editing, and platform submission to make 安徽小木匠 / Anhui Xiao Mujiang.
• Live-action management - 269.真人短剧的下一战：与AI共生、工业化和好故事 shows AI entering human-shot short drama through script databases, continuity notes, actor notices, scene tracking, and approval gates.
• Director-core short-drama workflow - 从央视纪录片到爆款 AI 短剧：第一批「转身」的导演 | S10E11 contrasts early image-heavy generation labor with later scripts, IP, asset libraries, storyboards, model choice, and director instructions.
• Small-team AI film case - No.227 对话叫兽易小星&粉墨：人人都能用 AI 拍电影了？ describes 叫兽易小星, 李晨, and 粉墨 using AI to make 《女娲之死》 through script development, clay-style visual design, storyboards, 可灵, Seedance, editing, and regeneration.

Counterevidence & Qualifications

The sources are mostly practitioner accounts, interviews, and podcast summaries rather than audited production records. Reported cost, time, market size, contest, ROI, and model-quality claims should remain source-scoped. The workflow also differs by format: AI short drama, live-action management, independent shorts, professional film previsualization, and television production support have different risk, rights, performance, and delivery thresholds.

What Changed

• Migrated the page to synthesis-v1.
• Added the No.227 三五环 source as a small-team AI-film case centered on 《女娲之死》.
• Reframed the workflow around role and cost shifts rather than simple replacement.
• Added editability, live-footage integration, comedy timing, and final-polish constraints from the new source.

Related Concepts

• Video Models - model capability layer used by AI-video workflows.
• AI Director-Core Workflow - director-intent specialization inside the broader workflow.
• AI Short Drama - short-form scripted category where many workflow cases are documented.
• Short Drama Economics - cost and monetization frame shaping AI short-drama workflows.
• Live-Action Film Under AI - live-action boundary where AI must justify which work remains human-shot.
• Industrial-Grade Film Models - film-delivery standard that current workflows often still lack.
• Human Judgment Under AI - review and responsibility layer that remains after generation.