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Offline · No cloud LLM
DEVELOPUM AI ENGINE · MULTI-CAM PODCAST · POST-PRODUCTION

Raw multi-cam in.
Publish-ready shorts out.

Four agents in a pipeline. A dialogue director cuts the timeline, an editor renders the 9:16, a QC specialist checks every frame, a social manager publishes.

The Pipeline

Four stages, one hand-off each.

Each agent produces a machine-readable JSON that the next agent consumes. No prompts leaking sideways, no free-form guessing — the output of one stage is the input of the next.

01
Camera Switching Timeline
Synced transcript + decibel data → cuts JSON. No cut faster than 1.5s unless there's a real interruption.
02
Rendering Manifest
Cuts → 9:16 vertical render plan. Center-crop coordinates, 3–5 word caption blocks, timestamped overlays. FFmpeg-ready.
03
Quality Control Verdict
OCR + visual analysis on frame extracts. PASSED or REJECTED — with exact correction instructions when rejected.
04
Social Publish
Sub-60-char hook title, SEO-rich description with hashtags, OAuth2 upload. Confirmation receipt back with status code + video ID.
The Crew

Four specialists. No generalists.

Each agent has a single job with a real backstory and a hard rule. They don't roleplay. They cut, render, check, publish.

Agent 01

Multi-Cam Dialogue Director

Analyzes a synchronized multi-cam podcast transcript against the loudest audio decibel track to produce a structured JSON camera switching timeline. Never guesses speaker switches — cross-references decibel evidence.

Seasoned live television director with 15+ years cutting multi-camera talk shows and podcasts. Sharp ear for speaker rhythm. Knows when to hold a shot vs. when to cut. Timelines feel cinematic, not robotic.

Agent 02

Lead Post-Production Editor

Transforms the switching timeline into a complete rendering manifest JSON optimized for 9:16 vertical: center-crop coordinates, 3–5 word dynamic caption blocks, timestamped graphic overlay instructions — parseable by FFmpeg with zero ambiguity.

Post-production expert who has edited thousands of short-form vertical videos for TikTok, YouTube Shorts, and Instagram Reels. Deep visual-retention instincts: captions must be punchy, crops must center the face, overlays must enhance not distract.

Agent 03

Video Quality Control Specialist

Examines extracted frame screenshots with OCR + visual analysis. Validates caption placement in the vertical safe zone, verifies text contrast, confirms no overlay is blocking the active speaker's face. Returns a strict PASSED or REJECTED verdict with actionable corrections.

Meticulous QC engineer who has reviewed thousands of short-form assets for TikTok and Shorts compliance. Knows exactly where the safe zones live, what contrast ratios pass accessibility, and how to spot a subtitle creeping over a speaker's chin from a single frame. The last line of defense before publish.

Agent 04

Social Media Automation Manager

Generates a platform-optimized title (under 60 characters, high-converting hook in the first 3 words), SEO-rich description with trending hashtags, then publishes to the target platform via OAuth2 API. Returns a confirmation receipt: status code, video URL/ID, publication timestamp.

Growth-focused strategist and API integration specialist. Writes hooks that stop the scroll and descriptions that rank. Automated publishing pipelines for top creators. Handles OAuth2 tokens, video uploads, and API errors without breaking a sweat.

Distribution

Windows installer. Python inside.

Ships as an offline zip. Auto-bundles FFmpeg on first run. Local Python stack managed by uv. AI runs on your machine — the only network calls are the OAuth2 upload at the end, and only if you want to publish.

Runtime

OSWindows
Python3.10 – <3.14
Package manageruv
FrameworkCrewAI 1.15.0
Video engineFFmpeg (bundled)

Install

Package size~294 KB
Installerinstall.bat + installer.ps1
AI stackOffline / local
Cloud calls at runtimeNone*
*Publish stepOAuth2 on your account
Interface

Streamlit UI, local pipeline.

Onboarding wizard for first-run setup (license key, LLM credentials, FFmpeg auto-download). Main dashboard for feeding cameras in and pulling shorts out.

Multi-Cam Podcast Engine — main dashboard
01 · Main dashboard — engine controls, toolset navigation
Multi-Cam Sync & AI Editor view
02 · Multi-Cam Sync & AI Editor — camera-angle inputs, capture and process
Video Stitcher & Ad Compiler view
03 · Video Stitcher & Ad Compiler — publishing destination + schedule
Full page — all steps visible
04 · Full pipeline view — every step in one scroll
Install it. Run the pipeline.

Windows installer. Drops the app, wires uv, downloads FFmpeg on first run.

# 1. Download and unzip multi_cam_podcast_engine_offline.zip # ~294 KB # 2. Run the installer install.bat # or right-click installer.ps1 → Run with PowerShell # 3. Launch the dashboard uv run streamlit run app_standalone.py