AI video generation
A practical route into AI video
Understand where generation can help and how to take an idea through to an edited result.
Request consultingStart with a useful application
AI generation can help explore visual directions, develop imagined scenes and produce material for an edit. Its value depends on the task: how precise the result must be, how much iteration is acceptable and what source material is available.
Treat speed and cost as questions to measure in your own workflow. Include unsuccessful attempts, selection, cleanup and finishing when comparing approaches. A quickly generated clip is not necessarily a quickly completed film.
Work from brief to approved shot
Describe the intended shot and identify what must remain consistent. Choose an approach based on those requirements, prepare any references you have permission to use, and generate a small set of candidates. Review them against the brief before expanding the sequence.
Bring selected clips into an edit. Check whether the action, framing and duration work alongside the surrounding material. The strongest individual image may not be the right shot for the sequence.
Learn the connected tools
Prompt writing communicates the shot. Skills package reusable instructions. Agents can help carry a task across steps. MCP connects a compatible host to tools exposed by a server. These parts can work together, but they solve different problems.
The following guides explain each part separately so you can build only the workflow you need. Specific model and integration recommendations will require current documentation and practical checks.