Tag archive
Built a Node.js blueprint for Claude Opus 5.5 video generation API that slashes scene drift by 40% and ensures object continuity. Here's how.
If a B2B SaaS form offers a video option before the backend can run it, the form is already broken....
Building a verification layer that checks a generated ad against its reference shot by shot — and the string of measurement bugs found once the checks themselves started getting checked: a gate comparing the reference to itself, a critic that couldn't tell its own product apart,
OpenAI is shutting down its Videos API and listed Sora 2 models on 24 September 2026 without documenting a replacement API target.
The Vidu S2 paper describes a service-based real-time video system that can change references during a stream, edit incoming video and create synchronized stereo output, while its production pipelines remain closed.
There's nothing wrong with using multiple AI tools. In fact, most teams do. The problem starts when...
How I closed the prompt-review-rewrite loop on an AI video ad platform by letting a vision model inspect each generated frame and rewrite scene prompts with targeted fixes — plus motion-transfer defaults and avatar persona anchoring.
How I fixed avatar drift, blank caption boxes, sterile audio, chipmunk VO, and jarring cuts in an AI video ad pipeline so generated ads match the feel of the reference viral.
How pre-spend validation, content-aware engine routing, live cost preview, and transient error retry patterns reduce wasted spend on AI video APIs that cost $0.10–$2.00 per generation.
A month of editor complaints that a swiped AI ad no longer matched its reference — traced through a three-layer role-casting bug, a word budget measured in the wrong voice, a color pipeline reading RGB as GBR, and a multi-shot bundle the planner had been computing and discarding
A cluster of b-roll and cutaway content-quality defects in an AI ad generator: a stranger in a cutaway, a color grade that was never actually called, a library that returned a bad match instead of admitting it had none, and near-miss fixes that shipped inert.
Auditing an AI ad planner for failures that report success: a candidate frame scorer dormant in production, measurement code with zero callers, a self-contradicting plan that only failed at render time, and a review gate that lied about its own numbers.