How We Swapped Into Steve Jobs at 1.1s Using Open-Source Agents — And Why Self-Healing Generative UI Replaces Employee Training

Description and use

An automated pipeline swaps the presenter into Steve Jobs at 1.1 s, syncs voice, preserves background, and showcases a self‑healing UI.

Problem

Create a live video where a presenter is transformed into Steve Jobs at 1.1 s and later returns to explain a self‑healing generative UI, without manual editing or training.

Outcome

The pipeline achieves a realistic Steve Jobs persona swap at 1.1 s, maintains background motion, and demonstrates a self‑healing UI concept, all without manual post‑production.

Workflow

• Record with Insta360 X5 and USB backup mic
• Run build_linkedin_v3_clean.py to cancel 195.4 ms pre‑echo
• Slice hook and keynote segments and run run_steve_jobs_opening_hook.py with ElevenLabs Speech‑to‑Speech
• Extract pose frame at 22.50 s and run Flux Pro Kontext for persona swap
• Generate lip‑synced Steve Jobs clip with Kling AI Avatar v2 Pro
• Segment each frame with MediaPipe Selfie Segmentation and O(1) Guided Filter
• Composite over moving background ZOOM_BG_Alien_Mustang_Master_1080p.mp4 with 8‑frame holographic RGB scanline morph

Evidence

We open‑sourced every Python script in AIjennings/ariawave‑linkedin‑studio so you can run or adapt this exact workflow

Source

Instead of a rigid legacy screen, the system runs on generative, iterative UI managed by autonomous agents. We hire an employee — they hit an edge case — it doesn't crash. It self‑heals and adapts in real time.

Source