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Overview

Automation Agent for Adobe Premiere connects the AI agent you already use — Codex, Claude Code, Claude Desktop, or a local model — to Premiere Pro, and turns AI assistance into controlled, reviewable workflows for professional editing work.

Private beta

Automation Agent is currently in private beta and is not yet generally available.

If you would like to participate, contact us and briefly describe what you would like to automate in Premiere Pro. We’ll review your use case and get in touch about a beta invitation.

It is not meant to replace the editor or act like a magic one-click editor. It helps with the work around the edit: analyzing timelines, preparing selects, finding useful moments, creating markers, organizing review passes, using external production context, and turning repeated steps into reusable tools.

The core idea is simple: give a general-purpose agent a Premiere capability, keep the execution visible, restrict what each workflow may touch, and save the useful results so they can run again — without asking the AI to reinvent the same solution every time.

Alpha demo showing Automation Agent assisting with a Premiere Pro editing workflow.

What Automation Agent Is For​

Automation Agent is useful when a Premiere task needs some combination of:

  • timeline, clip, marker, transcript, or project-structure awareness
  • external context such as scripts, client notes, spreadsheets, or production checklists
  • reviewable execution instead of black-box changes
  • narrow permissions for project and filesystem access
  • reusable workflows that can be saved, shared, and run again
  • AI judgment inside a saved workflow, through a configurable Workflow AI provider
  • external tools such as FFmpeg or Python through installable Runtime Packs
  • a choice of agent or model environment, including local or company-approved options

This makes it a workflow layer around Premiere, not just a chat interface inside the app.

Start With Practical Workflows​

If you want to understand what Automation Agent can do before reading setup details or block references, start with the Workflow Recipes. They show complete editing workflows you can copy, adapt, and run with a connected agent — and several of them ship as ready-made scripts in the panel's Library, so you can run them without any prompting at all.

Good first recipes include:

Use the more technical docs after that when you want to connect an agent, build your own scripts, understand permissions, or inspect the block-level API.

How Is This Different From Premiere's Built-In AI Assistant?​

Adobe now ships an AI Assistant directly in Premiere Pro. For quick, interactive, Premiere-only requests, that assistant and Automation Agent overlap — both can inspect your project and make changes from a chat conversation.

Automation Agent takes a different approach in four ways:

  • You bring your own agent. You choose which AI works on your material: the agent you already use, trust, and subscribe to — or a local model when footage, transcripts, or client material must stay on approved systems. You always know which AI is involved.
  • Your agent keeps its whole world. A general-purpose agent such as Codex or Claude Code can combine Premiere with everything else it already does: reading spreadsheets and production documents, researching online, working with your filesystem, and using its own tools.
  • Workflows become reusable tools. A successful run does not have to stay a one-off chat. It can become a saved, reviewable, permission-scoped script in your library that runs the same way every time — launched from the panel, a keyboard shortcut, or a Stream Deck button.
  • Saved workflows can still think. A saved script can call a Workflow AI provider for the steps that genuinely need judgment — proofreading, translating, classifying — while everything else stays fixed. That makes repeated runs faster, cheaper in tokens, and more reproducible than solving the whole task in chat again. And with Runtime Packs, workflows can use external tools such as FFmpeg and Python for jobs Premiere cannot do alone.

The rest of the documentation simply says "your agent" or "a built-in chat assistant" — the comparison above is all you need to know to place the two approaches.

One Setup, Then A Ladder​

You configure Automation Agent once, then use it at whatever level fits the task.

Set up your AI. Open the panel's AI Setup tab and use Guided Setup. It asks which AI tools or subscriptions you have — OpenAI / ChatGPT, Anthropic / Claude, or local — and walks you through connecting them. See Set Up Your AI.

After that, there are three ways to get work done, from least to most effort:

1. Run a ready-made library workflow. The Library tab ships tested example workflows — marker import/export, rendering utilities, transcript proofreading and translation with Workflow AI, and FFmpeg-based finishing tools. Load, review, run. See The Script Library.

2. Ask your agent live. Describe an editing problem to your connected agent and let it inspect the project, reason about what it finds, and execute permission-scoped steps. The Workflow Recipes are copy-and-paste starting points for this mode. See Agent Workflow via MCP.

3. Save what works as your own tool. When a workflow proves useful, turn it into a saved script — reviewable in the block editor, stored in your library, with Workflow AI steps where judgment is needed. See Create And Save Your Own Scripts and Create Your Own Recipes.

Permissions Matter At Every Level​

Automation Agent for Adobe Premiere includes a permission system for both saved scripts and live agent execution. Before a workflow runs, you can restrict what it is allowed to do.

You can control:

  • read access in Adobe Premiere
  • write access in Adobe Premiere
  • filesystem read access
  • filesystem write access

This makes it possible to give a script or agent only the level of access it actually needs.

For the details and recommended setup patterns, see Permissions and Safety.

Reuse Successful Workflows​

A live agent run is often the fastest way to discover a useful workflow. Once that workflow works, you do not need to make the agent rediscover the same implementation every time.

Turn repeated workflows into saved scripts — with Workflow AI steps for the parts that need judgment — or into implementation prompts and documented recipes. That makes future runs faster, easier to review, less variable, and more useful for teams or local-model environments.

For that pattern, see Create Your Own Recipes.

Restricted Production Environments​

If your company limits or blocks internet access on production machines, the most important distinction is whether you want:

  • a saved script that can run locally after being authored elsewhere
  • or a live agent that must stay involved while the task is running

The first model is often still viable in high-security environments — including saved workflows whose Workflow AI steps run on a local LM Studio model. The second usually is not.

For the deployment model, tradeoffs, and examples, see High-Security and Restricted-Network Environments.

Where To Go Next​