Developer Builds Automated AI Video Pipeline Using Claude, Higgsfield, and DaVinci Resolve

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A developer has documented an AI-driven video production pipeline that converts a CSV shot list into finished cinematic clips with minimal manual input. The system uses Claude to write and manage prompts, Higgsfield's CLI to generate video via models like Seedance 2.0 and Kling 3.0, and DaVinci Resolve's Python API to assemble the final edit. A critical finding from the build is that Higgsfield's advertised unlimited generation applies only to its web UI — the CLI and API charge credits for every generation. This distinction fundamentally changes pipeline design, since automation requires the CLI, forcing a disciplined one-take-per-shot approach rather than over-generating and selecting the best result. The shot list CSV acts as a single source of truth, enabling overnight unattended runs by eliminating dependence on human memory between stages.

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