To create AI videos reliably, start after the script and storyboard have been approved. Clear the rights for every input, turn each storyboard panel into a precise shot specification, generate small tests, change one variable at a time, review continuity and identity frame by frame, add verified audio and captions, then require a human to approve the exact export.

This guide does not repeat script or storyboard planning. Use the AI video script and storyboard guide first if the narrative, claims, or shot order are still open.

Key Takeaways

Do not generate until the script, claims, storyboard, and input rights are approved.

Treat every shot as a separate specification with subject, action, setting, camera, duration, and exclusions.

Generate low-cost tests before committing to a full sequence.

Change one variable per iteration and preserve prompts, settings, inputs, and selected outputs.

Review continuity, anatomy, physics, text, product behavior, identity, and factual context.

Add audio, captions, disclosure, and provenance through a separate checked workflow.

Step 1: Approve the production packet and input rights

Freeze the creative intent before generation. Your packet should include the approved script, storyboard panel IDs, required claims and sources, target audience, aspect ratio, approximate shot lengths, brand rules, accessibility requirements, prohibited content, and final approver.

Add a rights register for every input:

Input	Questions to answer before use
Script and storyboard	Who wrote or commissioned them? Are third-party passages included?
Reference image	Who owns it? Does the license permit this use and transformation?
Person or voice	Is there informed consent for identity, likeness, voice, territory, and duration?
Product or location	Are trademarks, designs, private property, or confidential details visible?
Music and sound	Are composition, recording, performance, and synchronization rights covered?
Generated asset	What tool terms, provenance data, and disclosure obligations apply?

Do not use “found online” as a rights status. Do not upload private client footage, unreleased products, identity documents, or personal media to a tool without explicit authorization and an approved data path.

Convert each storyboard panel into a shot specification

One prompt should describe one shot. Give every shot an ID and record:

narrative purpose and source claim;
subject identity and invariant features;
action with a clear start and end state;
setting, time, weather, and background activity;
framing, lens feel, camera position, and motion;
lighting, palette, material, and visual style;
aspect ratio and intended edit length;
required negative space for captions or graphics;
exclusions such as logos, extra people, readable text, or unsafe action;
acceptance criteria.

Adobe’s current prompt guidance recommends describing shot type, subject, action, location, and aesthetic, and notes that camera angle, movement, and distance can be specified.［3］ Treat those as controllable production fields, not magic wording.

A useful specification might be: “Shot 03, wide eye-level view. One ceramic mug on a wooden desk in morning window light. Slow push-in; steam rises naturally; no hands, logos, screen UI, or readable text. Preserve empty right third for captions. Accept only if mug shape, handle, steam direction, and lighting remain stable.”

Step 2: Check the tool's current capability and policy

Video tools change quickly. Before production, verify the official help page for supported input types, output controls, availability, retention, watermark or provenance behavior, and content policy. Do not put a model name, maximum duration, price, or regional promise into a long-lived production plan unless you will recheck it on the execution date.

Google’s Gemini help currently describes creating videos from prompts and, in some experiences, adding images or files; availability and limits depend on the current product experience.［1］ Adobe likewise documents text-to-video generation as a workflow with model and generation settings that may evolve.［2］ Use these pages as dated capability examples, not guarantees for every account.

Run a non-sensitive test before uploading approved production inputs. Confirm where outputs and history appear, how deletion works, and whether the account is personal or organizational.

Step 3: create AI videos as a small proof before the full sequence

Choose the hardest representative shot: a character turning, an object interaction, a product detail, a camera move, or a lighting transition. Generate a small test and review it at normal speed, slow speed, and frame by frame.

Check:

subject shape and identity across frames;
hands, faces, limbs, reflections, shadows, and contact points;
object count, geometry, labels, and product controls;
camera motion and horizon stability;
physical causality, direction, and timing;
background people and moving objects;
start and end frames needed for the edit;
required negative space.

If the representative shot fails repeatedly, change the production design: simplify the action, split it into two shots, use a licensed practical shot, or choose a different tool. Do not assume more generations will inevitably fix a structural limitation.

Step 4: Change one variable per iteration

Keep a generation log with shot ID, input assets, prompt, exclusions, settings, output ID, review notes, and selection status. When a test fails, classify the failure before editing.

Examples:

wrong camera motion → change only the camera phrase or control;
unstable subject → simplify action or strengthen invariant description;
cluttered background → remove background events, not the main subject;
weak composition → change framing or reference composition;
inconsistent style → use the approved style reference and fixed palette;
unreadable generated text → remove generated text and add real typography later.

The AI image prompt guide explains how subject, composition, light, and exclusions interact. Video adds time: a prompt must also define change, continuity, and camera behavior.

Do not overwrite selected outputs while experimenting. Preserve a stable candidate and compare a new version against the exact acceptance criteria.

Step 5: Review continuity across shots

A good isolated clip can still break the sequence. Build a continuity sheet for characters, wardrobe, props, environment, light direction, weather, time, screen direction, camera height, palette, and audio perspective.

The diagram is a review flow, not a generated-video result or proof that a tool enforces these checks.

Place adjacent clips on a timeline and inspect the cut. Compare the final frame of one shot with the first frame of the next. Watch for objects changing sides, faces drifting, clothing details mutating, doors moving, lighting reversing, or motion jumping.

Use reference frames only when you have rights to them and the tool supports that workflow. Do not use a real person’s face or a creator’s distinctive work as a shortcut to continuity without permission.

Step 6: Perform factual, identity, and safety review

Generated video can create evidence-looking scenes that never happened. Confirm that the output does not present a fabricated event, product behavior, medical effect, quotation, customer experience, location, or test result as real.

Review identity and sensitive context carefully:

could a real person reasonably be recognized or impersonated?
is a minor or vulnerable person depicted?
does the scene place someone in a criminal, sexual, medical, political, or other sensitive context?
are logos, uniforms, interfaces, documents, or landmarks misleading?
does the edit imply causality or endorsement that the sources do not support?
does the content need an on-screen disclosure or provenance label?

NIST’s Generative AI Profile identifies risks including confabulation, harmful content, data privacy, information integrity, and human-AI configuration.［4］ Use a qualified human reviewer and a documented stop path for ambiguous identity or high-impact claims.

Step 7: Add audio and captions separately

Do not accept generated speech, music, or ambient sound merely because it matches the mood. Verify the script, pronunciation, names, numbers, quotations, consent, and rights. Keep voices separate from unapproved identity imitation.

Generate captions from the approved final narration or transcript, then proofread them against the audio. Check timing, line breaks, speaker labels, sound descriptions, contrast, safe margins, and reading speed. Translate captions from the approved semantic source, not from an unverified automatic transcript.

Where generated text appears inside frames, replace it in editing with controlled typography. Video models commonly distort text over time; a real title layer is more readable and auditable.

Step 8: Run an exact final approval and export

The final review packet should contain:

final timeline or immutable review export;
script and source version;
selected shot IDs and generation records;
rights and consent register;
factual and identity review;
audio, music, and caption review;
disclosure and provenance decision;
target channel, aspect ratio, resolution, frame rate, and safe area;
unresolved limitations and rollback owner.

Approve the exact package. If a clip, narration line, caption, disclosure, music track, or destination changes, return it to the relevant reviewer. The human approval guide shows how to avoid treating a broad creative sign-off as permission for every later variation.

Export a review master and the required delivery versions. Rewatch the encoded file from beginning to end; check dropped frames, color shifts, audio sync, caption clipping, compression artifacts, metadata, and disclosure. A successful export is not proof that the content is accurate or cleared.

Summary

Begin only after the script, storyboard, claims, and rights are approved.
Specify and review one shot at a time.
Test the hardest shot early and redesign if the limitation is structural.
Change one variable per iteration and keep generation evidence.
Review frames and adjacent cuts for continuity, identity, physics, and factual meaning.
Add verified audio and captions through separate checks.
Bind approval to the exact timeline and rewatch every exported deliverable.

FAQ

Do I need a storyboard before creating AI videos?

Yes for a controlled workflow. A storyboard defines shot purpose and order, which prevents random generations from driving the narrative. Finish that work before this production loop.

Which AI video generator should a beginner use?

Choose based on current official capabilities, allowed inputs, rights terms, privacy, provenance, account availability, and the shots you need. Avoid relying on a static “best tool” list.

How detailed should an AI video prompt be?

Detailed enough to define one shot’s subject, action, setting, camera, light, style, duration intent, exclusions, and acceptance criteria. Remove details that do not affect the shot.

How do I keep a character consistent?

Freeze identity and wardrobe details, simplify actions, use approved reference material where permitted, and compare adjacent frames. If the tool cannot maintain the required identity, change the design or production method.

Can I use a celebrity or another person's face or voice?

Do not do so without clear authorization and review of applicable likeness, publicity, privacy, labor, platform, and synthetic-media rules. Sensitive or deceptive impersonation should stop the project.

Why does text look wrong in generated video?

Text must remain geometrically stable across frames, which generation often handles poorly. Remove it from the generated shot and add controlled typography during editing.

Must I disclose that a video was generated with AI?

Requirements depend on law, platform, client, context, and risk. Decide disclosure during planning, recheck current rules at export, and preserve provenance even when a public label is not required.

Can I publish after the tool finishes generating?

No. Generation is only one production step. Rights, continuity, factual meaning, identity, safety, audio, captions, disclosure, final approval, and encoded-delivery review remain.

Further reading:

Disclaimer: This article provides general creative-production information, not legal advice. Copyright, likeness, privacy, labor, advertising, synthetic-media, and platform rules vary. Verify current tool terms and use qualified reviewers for valuable or sensitive work.

Sources:

Google Gemini Apps Help — Generate videos with Gemini Apps — https://support.google.com/gemini/answer/16126339
Adobe Firefly Help — Generate videos using text prompts — https://helpx.adobe.com/firefly/web/work-with-audio-and-video/work-with-video/generate-videos-using-text-prompts.html
Adobe Firefly Help — Writing effective text prompts for video generation — https://helpx.adobe.com/firefly/web/work-with-audio-and-video/work-with-video/writing-effective-text-prompts-for-video-generation.html
NIST — Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile — https://www.nist.gov/publications/artificial-intelligence-risk-management-framework-generative-artificial-intelligence

Sources checked 24 August 2026.

How to Create AI Videos: A Beginner's Workflow