n8n Expert – Fix & Take Over AI Social Media Pipeline (fal.ai, Claude)

We have an automated social media posting pipeline built in n8n that processes raw footwear images into studio-grade media, generates copy, and schedules posts across Facebook, Instagram, and TikTok via Metricool. Current Status & Challenges: The core workflow is built and documented, but the previous developer struggled with specific technical hurdles: fal.ai Image & Video Generation: Edge-case failures and background rendering fallback loops when generating media assets. Quality Gate Logic: The visual/copy quality gates failed to reliably inspect outputs, causing low-quality renders to pass or triggering workflow loops. You must refine these gates to ensure strict output quality standards. Prompt Engineering for M2: Milestone 2 involves expanding the pipeline to handle 8 distinct video generation prompts. Milestones & Payment Structure: Milestone 1 (Repair & Validation - $200): Fix fal.ai fallback loops, refine quality gate logic, and execute a 48-hour hands-off stability test (6 consecutive posts published live across 3 daily slots without manual intervention). Milestone 2 (Optimization & Scaling - $500): Milestone 2 will only be funded and triggered after Milestone 1 successfully completes the full 48-hour hands-off run. Scope includes engineering 8 video prompts, optimizing pipeline speed, and error recovery. To Apply: Start your proposal with the word "ESPERANTO". Please confirm you have experience with fal.ai media generation and agree to the 48-hour hands-off validation requirement for M1.