How-tos

How to Make AI Videos: Step-by-Step Workflow

Learn how to make AI videos with a practical workflow for planning, references, prompts, generation, review, dailies, and timeline planning.

To make AI videos, start with a clear idea, collect references, break the story into shots, generate multiple takes, review those takes against written criteria, and plan the scene timeline with the strongest selections. Treat every clip as production material, not a lucky file.

That shift saves time. It also keeps the work easier to judge once the first few generations turn into twenty versions of the same shot. If you want the wider production context, pair this guide with AI in video production and the AI video project workspace tutorial.

Quick AI Video Workflow

An AI video workflow moves from idea to production assets, shots, generation, review, dailies, and scene timeline planning. The order matters because each step gives the next one better context, clearer references, and a stronger standard for deciding whether a generated take works.

StepWhat to doOutput
1Define the jobA clear audience, format, duration, and success standard
2Gather assetsCharacters, locations, props, wardrobe, images, and reference videos
3Pick workflow typeText-to-video, image-to-video, reference-led generation, or workspace-led production
4Plan shotsShot codes, camera notes, action, references, and constraints
5Generate takesMultiple options tied to the shot brief
6Review dailiesReject, maybe, select, or approve takes with context attached
7Plan the timelineSelected clips ordered in scene context with trim notes

The process does not need to feel heavy. A ten-second social clip may only need one scene and three shots. A short film, trailer, or campaign needs more structure because continuity, approvals, and handoff decisions pile up quickly.

Use the smallest workflow that preserves the decisions you cannot afford to lose.

Step 1: Choose The Job For The Video

Start by deciding what the AI video must accomplish, who will watch it, where it will run, and how long it should be. That answer shapes the format, shot count, pacing, references, review standard, and final handoff before you spend time generating.

Write a one-paragraph production brief before opening a generator:

  • Purpose: Explain what the video should do.
  • Audience: Name the viewer and their context.
  • Format: Pick vertical, horizontal, square, or another delivery shape.
  • Duration: Set a target length before planning shots.
  • Tone: Name the emotional register in plain language.
  • Success standard: Define what makes a take usable.
  • Constraints: List anything the video must avoid.

Here is a simple brief:

Create a 20-second product teaser for founders who need fast campaign visuals. The scene should feel precise and restrained. The camera follows a prototype device across a worktable, then ends on a close-up as the indicator light turns on. Avoid exaggerated sci-fi effects, unreadable logos, and busy backgrounds.

That brief already does useful work. It names the viewer, the mood, the action, the ending frame, and the failure conditions. You can now plan shots instead of asking a model for a vague “cinematic product video.”

Step 2: Build References Before You Prompt

Build the visual world before you write prompts. References tell the generator what should stay consistent, and they tell reviewers what to protect. Save characters, locations, props, wardrobe, images, frame anchors, and reference videos before the first serious generation pass.

Treat references as production assets, not inspiration clutter. Each one needs a job.

Reference typeWhat it controlsPractical note
CharacterIdentity, silhouette, expression, wardrobe stateUse a stable source for recurring people or fictional characters
LocationLayout, era, lighting, geography, surface detailWrite what must remain readable on camera
PropScale, material, markings, handlingAdd close-up references when the object drives the shot
WardrobeColor, fit, texture, damage, continuityRecord scene-specific changes as they happen
Image referenceFirst frame, last frame, composition, styleUse anchors when the shot must start or end precisely
Reference videoMotion, camera timing, blocking, stagingUse clips to guide movement, not just look

For recurring characters, read the character consistency guide. If your video starts as boards or panels, the AI storyboard examples guide can help turn those visuals into shot intent.

Reference Checklist For AI Video

A useful reference checklist names what each file should control, where it appears, and what reviewers should reject if it drifts. That keeps the team from reusing attractive references that solve the wrong problem or conflict with the shot’s actual story job.

Before generation, check:

  • Does each recurring character have a clear identity source?
  • Does wardrobe match the scene order?
  • Does each location reference show layout, not just mood?
  • Do props have scale and handling notes?
  • Do frame anchors match the intended first or last composition?
  • Do reference videos show useful motion, timing, camera behavior, or blocking?
  • Does every sensitive or client-provided asset have the right review context?

In Lotix, teams can organize production assets for characters, locations, props, wardrobe, and reference videos inside the project. Character reference sheets can be generated from source images and character profile data, while locations, props, and wardrobe use profile data, source images, and manual reference bundles. That keeps the reference library tied to the production instead of scattered across downloads.

Step 3: Pick The Workflow Category

Choose the AI video workflow category based on your source material and review needs. A blank idea, a finished image, a presenter script, and a multi-shot scene all need different setup, even when the final output looks like one video file.

Use this decision table before choosing tools:

Workflow categoryUse it whenWatch for
Text-to-videoYou have a written idea and no fixed image sourceVague prompts often produce weak continuity
Image-to-videoYou have a still frame, concept image, board, or product imageMotion may fight the original composition
Reference-led generationYou need start/end frames, motion references, or consistent visual cuesReferences need clear roles or they confuse the shot
Avatar or explainer workflowYou need a presenter, narration, or instructional formatThe piece may feel template-driven without strong direction
Editing and finishing toolsYou need captions, pacing, audio, color, or delivery exportsThese tools usually do not preserve generation context
Production workspaceYou need scenes, shots, assets, takes, roles, approvals, and dailiesThe value comes from structure around generation

For a one-off clip, a simple generator plus an editor may work. For a scene with recurring characters, props, and approvals, build the workspace first. The moment a team needs to remember why a clip exists, the workflow has moved past prompt experimentation.

Step 4: Turn The Idea Into Shots

Turn the idea into shots before generation so every prompt has one clear job. A shot plan should define subject, action, camera, duration, aspect ratio, resolution, references, frame anchors, constraints, and review criteria in language the whole team can judge.

A short scene might break down like this:

Shot codeShot jobDirection
A001Establish the workspaceWide shot, quiet practical light, prototype on table
A002Show the handoffMedium shot, hand places device beside open notebook
A003Reveal the signalClose-up, indicator light turns on, end on clean product frame

That breakdown gives each generation a narrow target. It also protects coverage. If shot A003 works but A002 fails, you regenerate the handoff instead of rebuilding the whole video from scratch.

Lotix uses this production grammar directly: projects hold sequences, scenes, shots, generated takes, and dailies. For a Seedance-specific version of this process, use the Seedance 2.0 shot planning workflow.

Shot Brief Template

A strong shot brief gives the generator a filmable moment, not a paragraph of style words. It separates story intent, subject, action, camera, lighting, references, frame anchors, negative constraints, and review criteria so the output can be judged without guessing.

Use this structure:

FieldFill it in
Shot codeA short label such as A001 or SC03-SH02
Shot titleA plain description of the moment
DurationTarget clip length
Aspect ratio and resolutionMatch delivery needs or project standard
SubjectWho or what the viewer follows
ActionWhat changes during the shot
EnvironmentWhere the shot takes place
CameraFraming, movement, height, lens feel, and pace
LightingPractical sources, contrast, color, time of day
ReferencesCharacters, props, wardrobe, frame anchors, reference videos
Negative constraintsWhat must not appear or drift
Review criteriaWhat makes the take selected or rejected

Prompt language can stay natural:

Close-up of the prototype device on a matte black worktable. A hand enters from frame left and presses the recessed switch. The indicator light turns on softly. Locked-off camera, shallow depth of field, practical desk lamp reflection, no extra logos, no sparks, no dramatic smoke. End on a clean product frame.

The Seedance 2.0 prompt guide shows how to make this type of shot direction more generation-ready.

Step 5: Generate AI Video Takes

Generate several takes for each shot and keep them tied to the original brief. The first output may contain a useful camera move, expression, or ending frame, but review works better when the team compares variations against the same shot plan.

Use a repeatable generation pass:

  1. Confirm the shot brief.
  2. Attach the right references.
  3. Set duration, aspect ratio, resolution, and any model settings the workflow exposes.
  4. Generate a small batch of takes.
  5. Record what changed between versions.
  6. Stop when you have enough evidence to review.

Lotix currently centers video generation support on Seedance 2.0 and Seedance 2.0 Fast. In the Lotix workflow, shot plans can include prompts, image references, video references, duration, aspect ratio, resolution, frame anchors, and model settings, then the generated outputs return as reviewable takes.

That detail matters. A take should carry its prompt, settings, references, and shot context with it. Otherwise, a usable clip becomes hard to repeat, continue, or explain during review.

Step 6: Review Takes And Build Dailies

Review each generated clip as a take tied to a shot, then move useful work into dailies. This keeps the team focused on story, continuity, and approvals instead of debating exported filenames or trying to remember which prompt created which result.

Use consistent review states:

Review stateUse it whenNext action
RejectedThe take fails the shot briefRegenerate with a specific correction
MaybeThe take has one useful elementHold it for comparison or reference
SelectedThe take leads the current optionsAdd it to dailies or scene review
ApprovedThe take meets the team’s standardCarry it into timeline planning and handoff

Review against the written criteria, not personal taste alone. Ask:

  • Does the take serve the shot’s story job?
  • Did the character, wardrobe, prop, or location drift?
  • Does the camera move match the plan?
  • Does the shot start or end on the needed frame?
  • Does the clip create a useful handoff to the next shot?
  • Should the team regenerate, continue from the take, or approve it?

Dailies give the team a shared checkpoint. In Lotix, successful generated takes can collect in dailies with links back to shot and take context. The AI video takes and dailies tutorial walks through that review habit step by step.

Step 7: Plan The Scene Timeline

Plan the scene timeline after selected takes exist so the team can check order, pacing, trims, and continuity before final post work. Timeline planning helps directors and editors see whether approved clips actually connect as a coherent scene during review.

At this stage, keep the workspace focused on scene planning rather than final editing. Use timeline planning to answer production questions:

  • Which selected takes belong in the scene?
  • What order serves the beat?
  • Where should each clip trim in and out?
  • Does a frame handoff need another generation pass?
  • Does the scene have enough coverage?
  • Which clip should guide the next continuation shot?

Lotix supports scene timeline planning and review for selected playable clips, including trim in/out points, playback controls, frame stepping, cached media, and saved clip trims. Final editing, sound, color, VFX, exports, and delivery still belong in post-production tools.

That split keeps the workflow honest. Lotix helps teams plan, generate, review, and organize AI video takes, while post-production tools handle final finishing.

Example: From Idea To Reviewable AI Video

A practical AI video example turns one idea into assets, shots, generated takes, review notes, dailies, and a scene timeline. Seeing those production layers together makes the workflow much easier to repeat than a single prompt copied into a generator.

Imagine the brief:

A 30-second teaser shows a courier discovering a glowing keycard in an empty transit station, then hearing a train arrive behind a locked platform gate.

Turn it into production pieces:

Production layerExample decision
IdeaCourier discovers a keycard and realizes the station is not empty
Character assetCourier with navy jacket, messenger bag, tired expression
Location assetClosed underground transit station, wet tile, dim overhead lights
Prop assetGlowing keycard with a simple geometric mark
WardrobeNavy jacket stays zipped until the final shot
Reference videoSlow push-in toward platform gate for timing and blocking
SceneNight station discovery scene

Then plan shots:

ShotBriefReview standard
A001Wide shot of empty station, courier enters frame rightStation geography reads clearly
A002Medium shot as courier spots the keycard near a benchJacket and bag stay consistent
A003Close-up of keycard glowing in the courier’s handMark remains readable
A004Over-shoulder shot toward locked platform gateEnd frame points toward the next scene

Generate multiple takes per shot. Reject the take where the courier’s jacket changes color. Mark maybe on a version where the keycard glow works but the hand position feels awkward. Select the take where the close-up holds the mark clearly. Approve it after dailies if it connects with A004.

Now the scene has memory. The next generation pass can use the selected close-up, the location asset, and the gate direction rather than rebuilding the whole idea from scratch.

Common AI Video Problems And Fixes

Most AI video problems come from weak setup, unclear references, or review decisions made too late. Fix the workflow before blaming the model: narrow the shot, name the failure, adjust references, regenerate with purpose, and compare takes against the written brief.

ProblemLikely causeFix
Character identity driftsNo stable character source or too many conflicting imagesCreate a clearer character reference and reduce competing cues
Wardrobe changesWardrobe lives only in prompt textSave wardrobe as a reusable asset and mention scene state
Motion feels strangePrompt describes style but not action mechanicsAdd reference video or clearer action timing
Camera wandersShot asks for too many movesPick one camera behavior and define the start or end frame
Prop disappearsProp lacks scale, handling, or close-up referenceAdd prop notes and make it part of the review standard
Scene lacks continuityShots were generated as standalone clipsPlan the scene, then generate shot by shot
Team cannot chooseNo review criteriaDecide reject, maybe, selected, and approved rules before review
Folder gets messyDownloads are detached from prompts and referencesUse a workspace that keeps takes tied to shots

Small fixes work better than giant prompt rewrites. Change one thing at a time when you can: reference order, camera instruction, action verb, frame anchor, duration, or negative constraint. Then compare the next take against the previous one.

Frequently Asked Questions

AI video FAQs usually come down to process: how to start, how much structure beginners need, why first outputs fail, and what happens after generation. Strong answers keep the workflow grounded in shots, references, takes, review, and practical timeline planning.

How Do I Create AI Videos?

Create AI videos by writing a clear brief, gathering visual references, choosing a workflow category, breaking the idea into shots, generating several takes per shot, reviewing those takes against criteria, and planning selected clips in scene order before final post work.

The shortest version is: brief, assets, shots, takes, dailies, timeline. Skip steps only when the project can survive without them.

Are AI Videos Easy To Make?

Simple AI videos can be easy to generate, but good AI videos still require direction. The hard part is not producing motion; it is preserving intent, references, continuity, review decisions, and handoff context after the first few versions arrive together.

Beginners should start with one short scene and three shots. That gives you enough structure to learn without building a giant production board.

Which AI Video Workflow Should Beginners Use?

Beginners should start with an image-to-video or tightly written text-to-video workflow, then review takes against a short shot brief. A fixed image or narrow prompt reduces ambiguity, making it easier to understand exactly what changed between generation passes on the next attempt.

Once a project has recurring characters, multiple shots, or team review, move into a production workspace so the work keeps its memory.

What Should I Do After Generation?

After generation, review every clip as a take, mark the useful ones, collect successful options in dailies, and plan the scene timeline with selected clips. Then hand approved material to post-production for finishing, sound, color, captions, exports, and delivery steps.

Do not bury strong takes in a downloads folder. Attach the decision to the shot while the reasoning is still fresh.

Start Creating In Lotix

Lotix helps AI film teams turn ideas into organized projects, production assets, shots, Seedance takes, review states, dailies, and scene timeline planning. Use it when a project needs real production structure around generation instead of another folder of disconnected clips.

Start with one scene. Create the project, add the assets, plan the shots, generate Seedance 2.0 or Seedance 2.0 Fast takes, review them in dailies, and use timeline planning to decide the next pass.

Start Creating in Lotix.

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Plan your shots, manage your assets, generate takes with built-in Seedance, and keep generation transparent with at-cost pricing inside Lotix.

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  • Generate Seedance takes with transparent, at-cost usage
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