Agent workflow

How to use AI agents for video production

AI agents work best when they inherit the real project instead of a loose prompt. With MCP-capable clients such as Claude Code, a video workflow can expose source media, scene plans, provider routes, continuity anchors, review notes, and export state as usable production context.

By Video Loom · 2026-06-23

How to use AI agents for video production

1. Give the agent project context

Start with the current project state: source files, scenes, selected takes, reference images, continuity anchors, and comments. The agent should work from the same facts the editor sees.

Expose scene IDs, source media, and selected takes.
Keep prompts, references, and continuity anchors attached.
Use project state instead of copying context into chat.

2. Keep generation controlled

Agents should plan and prepare work before spending provider credits. Server-side routing, readiness checks, and fallback rules keep keys protected and expensive jobs deliberate.

Keep provider API keys on the server side.
Route each scene through configured provider rules.
Review cost and readiness signals before generation.

3. Return work to the timeline

Agent-created plans, takes, captions, and review notes should land back in the same production timeline so the final result can be compared, revised, and exported.

Send generated takes back to their source scenes.
Compare revisions before changing the final cut.
Export with captions, audio sync, and review context intact.

Try the workflow

Plan your next AI video in Video Loom.

Turn the guide into a project with scene planning, provider routing, continuity, review, and export in one workspace.

Open Video Loom View AI video MCP and agent workflow

Questions

Common questions.

Can Claude help with AI video production through MCP?

Yes. MCP-capable clients can work with connected tools through MCP, and Video Loom is designed to expose video project context through an OAuth-protected MCP workflow.

Should an agent generate video directly from chat?

It can help, but production work is safer when the agent plans against project state, uses server-side provider routing, and returns results to the timeline for human review.