Field guides for creators who care about the finish
Useful decisions, repeatable workflows, and honest tradeoffs for making media with AI.
How to build AI video ad variants that teach you something
Hold the core claim steady, vary one persuasive element at a time, and connect every creative version to an audience, hypothesis, and measurable result.
7 min read →
How to write an AI video brief that produces usable work
Define the audience, intended change, story beats, references, delivery constraints, and acceptance criteria in one production document.
7 min read →
How to control AI video costs without lowering the bar
Budget attempts by shot risk, prove hard shots early, track cost per usable second, and stop polishing assets that do not improve the finished edit.
6 min read →
How to edit AI video into a coherent finished story
Select for story function and edit points, assemble the argument before polishing, repair continuity with coverage, and finish sound and captions together.
8 min read →
How to learn from AI video performance without chasing noise
Tag the hypothesis behind every version, read metrics by the viewer stage they represent, and return validated learning to the next brief.
7 min read →
How to prompt AI video like a director
Build prompts from intent, visible anchors, action, camera, light, sound, timing, and references so every instruction has a production purpose.
8 min read →
How to repurpose one AI video across formats without making clones
Keep the core message and proof, then redesign the opening, duration, crop, captions, audio, and call to action for each channel.
7 min read →
How to build an AI video shot list before choosing models
Give every shot a purpose, production requirement, risk score, continuity anchor, and edit point before selecting the model that should make it.
7 min read →
How to design sound for AI video
Plan dialogue, ambience, effects, music, and silence alongside the storyboard, then mix them around story priority rather than filling every second.
8 min read →
How to storyboard an AI video before generating shots
Storyboard the information flow, camera logic, continuity anchors, and edit transitions first; generate polished frames only after the sequence works in rough form.
6 min read →
A practical AI video workflow from brief to publish
Lock the story and shot list before choosing models, generate by shot requirement, then budget equal attention for sound, assembly, review, and delivery.
8 min read →
How to keep characters consistent in AI video
Create a compact reference pack, lock identity anchors, reduce simultaneous changes, and review every shot against a continuity ledger before it enters the edit.
7 min read →
How to choose an AI video model for the shot
Choose by the shot's hardest constraint, test the cheapest valid proof, and record the limitation you are accepting before production scales.
7 min read →
How to direct multi-shot AI video without losing continuity
Use timed beats, stable identity anchors, deliberate transitions, and a continuity ledger to keep multi-shot generations readable and editable.
8 min read →No guide matches that search yet