AI video workflow
Manage AI-Generated Video Tests
AI video work creates many small tests: prompt attempts, style trials, reference clips, product variations, and rejected outputs that may still contain a useful shot. ShotMind helps you keep the valuable moments searchable without treating every test as final work.
Turn generated tests into reusable references
01
Treat tests as a working library
Generated video tests are often messy, but they still contain useful motion, lighting, style, composition, or product details. The goal is to keep the useful evidence, not to preserve every failed attempt equally.
- Collect prompt outputs, model tests, reference clips, product variations, and style experiments you may reuse.
- Keep source folders by project, model, date, campaign, or prompt batch.
- Keep prompt text, model name, date, and batch notes in your existing project records.
- Remove or ignore duplicates and weak outputs before spending analysis credits.
02
Split outputs into searchable shots
A single generated clip can contain several useful and unusable moments. Shot-level organization lets you keep the seconds worth learning from without making the whole file feel equally important.
- Import local test clips into ShotMind when you expect to search them later.
- Use shot splitting so a generated sequence becomes manageable visual moments.
- Choose only the clips with useful style, motion, framing, or product behavior for analysis.
03
Search by visual result, not prompt history
Prompt names and model logs rarely describe every visible detail. After selected shot clips are analyzed, ShotMind lets you search by the result on screen rather than by the exact prompt you wrote weeks ago.
- Search by subject, action, scene, mood, camera movement, lighting, texture, or composition.
- Recover a useful failed attempt when a new treatment, edit, or prompt needs that visual.
- Use AI descriptions as retrieval clues, then review the source clip before using it.
04
Connect generation tools with editing and review
ShotMind does not generate video, connect to generator accounts or histories, or replace collaboration systems such as review platforms and MAM tools. It sits between generation and production as a local search layer for the video tests you decide to keep.
- Use generation tools for creating new outputs.
- Use ShotMind to search the local tests and reference shots worth reusing.
- Use editors, review tools, or asset systems for final cuts, comments, delivery, and team operations.
Search examples for AI tests
Style test
"soft product reveal, translucent plastic, slow orbit, pale studio background"
Find the generated output that matched a useful visual direction.
Failed prompt with one useful moment
"brief hand interaction with device, clean highlight, realistic motion"
Recover a small usable segment from a broader rejected test.
Mood reference
"cinematic dusk street, long lens compression, quiet blue atmosphere"
Search old tests by what the shot feels like instead of by prompt filename.
When this workflow helps
- AI video creators who generate many local test clips and want to reuse the useful moments.
- Product, commercial, and motion teams that compare generated outputs with real reference footage.
- Creators who need to search old tests before writing a new prompt, treatment, or edit plan.
Current boundaries
- ShotMind does not generate video, write prompts for you, or rank models.
- It is not a rights-clearance, originality, or client-approval system.
- It does not replace Frame.io-style review, iconik-style MAM, or editing software.
FAQ
Does ShotMind store prompt text?
ShotMind focuses on searchable video shots. Keep prompt text and model notes in your existing project records; use ShotMind to find the visual results inside local clips. It does not connect to generator accounts or histories.
Does ShotMind generate AI video?
No. ShotMind organizes and searches video clips you already have. Use your generation tool to create clips, then use ShotMind when you need to search useful local tests and reference shots.
Should I analyze every generated test?
Usually no. Analyze the clips that contain reusable style, motion, product detail, or reference value. Skipping duplicates and weak outputs keeps the library cleaner and saves credits.
Can ShotMind decide which generated clip is safe to publish?
No. ShotMind helps you find likely clips faster. Rights, client context, accuracy, originality, and final creative judgment still need human review.