AVE

Product Introduction

1. Definition: AVE (AI Video Editor) is a local-first, Mac-native non-linear video editing application (NLE) that integrates artificial intelligence as a core workflow component. It is a desktop software application designed for Apple Silicon Macs.
2. Core Value Proposition: AVE exists to bridge the gap between fully manual professional video editors and simplistic, cloud-dependent AI video tools. Its primary value is enabling private, local-first AI-assisted video editing where the user maintains final creative control through a reviewable edit plan system, keeping all project data and media on the user's Mac by default.

Main Features

1. Local-First, Mac-Native Architecture: All core operations—media import, project file storage, transcript analysis via on-device speech recognition, visual note generation, timeline editing, and final MP4 export—are performed locally on the Mac. External AI services (like Runway or connected coding assistants) are strictly opt-in. This ensures data privacy, offline functionality, and leverages the full performance of Apple Silicon.
2. Dual-Mode AI Interaction (Ask & Plan): AVE provides two distinct AI interfaces. Ask Mode handles direct queries, transcript searches, visual clip searches ("find shots with a dog"), and simple timeline adjustments. Plan Mode is for complex edits; the AI analyzes project assets (footage, transcript, timeline state) and generates a multi-step, previewable edit plan (e.g., "create a 30-second TikTok cut") which the user must approve before any changes are executed on the timeline.
3. Real Timeline Editing Execution: Unlike AI tools that only suggest edits or apply filters, AVE's AI can perform actual, non-destructive timeline manipulations. Upon plan approval, it can execute operations including clip selection, trimming, splitting, sequencing, adding transitions, generating and styling captions, closing gaps, and preparing multi-format deliverables (9:16, 1:1, 16:9).
4. AVE MCP (Model Context Protocol) Integration: This feature allows locally-installed AI coding assistants like Codex CLI or Claude Code to interact directly with an AVE project. The MCP server provides these assistants with a controlled set of tools (project context, search, edit, review, export) and a permission model, enabling video editing workflows from within a developer's existing AI coding environment.

Problems Solved

1. Pain Point: The compromise between control and automation in video editing. Pro NLEs (Final Cut Pro, DaVinci Resolve) offer full control but are entirely manual and have a steep learning curve. Web-based AI editors are easy but often lack professional timeline control, use templated outputs, and require uploading sensitive footage to the cloud.
2. Target Audience: Mac-based content creators, solo entrepreneurs, marketing teams, podcasters, and developers who produce regular video content (launch videos, interview highlights, social media clips, B-roll assemblies) and prioritize privacy, control, and a streamlined workflow without sacrificing edit quality.
3. Use Cases:
   • Interview Highlight Reels: Quickly find and assemble the best soundbites by searching the transcript for keywords.
   • Multi-Platform Social Media Cuts: Automatically create vertical (9:16) and horizontal (16:9) cuts from the same master footage with appropriate pacing and captions.
   • B-Roll Search: Locate specific visual moments (e.g., "shots of the product being held") without scrubbing through hours of footage.
   • Private/Confidential Editing: Editing sensitive footage (corporate, unreleased products, personal) where cloud upload is a security or compliance concern.
   • Developer-Led Video Workflows: Using a connected AI coding assistant to script and execute video edits as part of a broader content creation pipeline.

Unique Advantages

1. Differentiation: AVE is positioned as "an editor with AI inside, not an AI with an editor bolted on." It contrasts with cloud AI video generators by being a full, local NLE. It contrasts with traditional NLEs by having deeply integrated, project-aware AI that can operate the timeline itself, not just offer separate "auto" features.
2. Key Innovation: The "AI plans, tools execute" paradigm with the Plan Mode review step. This ensures the AI acts as a collaborative assistant whose work is always previewable and approvable, preventing unwanted or surprising changes to the timeline and preserving the editor's creative authority—a major concern with generative AI tools.

Frequently Asked Questions (FAQ)

1. Is AVE a cloud-based AI video generator? No, AVE is a local Mac desktop application. All footage, project files, and editing happen on your computer. Cloud AI services are an optional, explicit connection for specific tasks, making it fundamentally a local-first AI video editor.
2. What are the system requirements for AVE? AVE requires macOS 14.0 (Sonoma) or later and an Apple Silicon Mac (M1, M2, M3, or later). It is not compatible with Intel-based Macs or older macOS versions.
3. How does AVE's "Plan Mode" ensure I don't lose control of my edit? Before executing any complex edit, AVE's AI generates a step-by-step plan (e.g., "1. Analyze footage, 2. Select best 30 seconds, 3. Create vertical sequence"). You must review and approve this plan. Only then does the software apply the changes to your timeline, and all changes remain visible and editable, giving you full oversight.
4. What is the difference between AVE Free and AVE Pro? AVE Free is a fully functional version for small-scale testing. AVE Pro Lifetime unlocks higher limits for saved projects, analyzed media, and the use of advanced AI features like multi-step Plan Mode edits and comprehensive search. It is a one-time purchase, not a subscription.
5. Can I use my own AI API keys with AVE? Yes, AVE supports BYO (Bring Your Own) AI providers. You can optionally connect external services like Runway for specific generation tasks. Your API keys are stored encrypted locally on your Mac, aligning with the product's private-by-default philosophy.