I’m looking for a developer who can step into my existing automated content pipeline and make it rock-solid. The flow already runs from analysis → script → image → voice → video → upload → scheduling, yet intermittent failures and mismatched assets keep breaking full runs. What I need you to do: • Hunt down and eliminate any blocking errors that halt or skip steps. • Strengthen batch processing so I can re-run only failed segments without touching successful ones. • Guarantee scripts, images, voices, and final videos always match—even in multi-character scenes. • Tweak the small Supabase-backed internal UI so I can monitor runs, trigger selective regeneration, and view logs at a glance. • Leave concise hand-off notes covering fixes, config changes, and restart procedures. Constraints to respect: • No new architecture, research, or feature expansion—just stability and dependable automation. • Feel free to swap in or update existing or freely available AI tools/models, provided the current execution flow remains unchanged in function and output quality. • Performance tuning is optional; reliability is the primary goal. Success is a pipeline that completes every run without manual intervention and a lightweight dashboard that clearly flags any rare hiccup. If systematic debugging and end-to-end automation are your strengths, I’d love to work with you.