Where AI Video Pipelines Actually Break: Building QA Gates From Script to Storyboard to Render

Generating a two-minute startup video with AI involves multiple stages - script, storyboard, shot generation, voice, edit - and each stage has the potential for failure. Quality control gates are crucial to ensure the final output meets the desired standards. The pipeline starts with Ingest, where the pitch deck, product notes, and other relevant data are collected.

The key issue at this stage is understanding the company correctly. Ambiguous metrics, internal jargon, and outdated slides can lead to errors. The gate addresses this by extracting claims from slides and verifying their accuracy before scripting begins.

The next stage is Script, where the foundation of the video is built. Language models can generate fluent scripts, but there is a risk of claim drift, timing overruns, and structural gaps. The gate in this stage checks for claim reconciliation, word budget per beat, and required/forbidden beats. Claim reconciliation ensures every factual sentence in the script maps back to an item in the approved claim list.

Word budget per section is set, and drafts exceeding the limit by more than 10% are rejected. The required-beat checklist (hook, problem, solution, proof, ask) ensures the draft has all necessary components. The gate also includes a list of banned phrases.

Storyboarding is the third stage, where script beats are transformed into visual shots. The main issue at this stage is the generation of generic visuals, product misrepresentation, and shot length mismatches. The gate checks each storyboard shot's type (real product capture, generated illustrative scene, motion graphic, or text card).

Anything showing the product must be a real capture or a faithful recreation. Beat-to-shot mapping with durations is also verified. This gate has the potential to change direction if any issues are found.

The fourth stage is Asset generation. This stage is where AI video generation happens, and consistency is the main issue. Characters may change appearances between shots, brand colors may drift, and text inside generated frames may be garbled. The gate at this stage ensures reference locking, fixing a set of reference images and conditioning every shot on them. Reference locking helps maintain consistency in characters, brand colors, text, and voiceover.

Finally, the last gate is Final QA, a full review against the brief before the video goes to the customer. The gate checks the entire video against the brief, ensuring everything aligns correctly. This is the final checkpoint before shipping the video to the customer. Each gate in the pipeline is designed to catch errors early, save time, and maintain the quality of the final product.