Blog

How conversational video editing actually works in Gemini Omni Flash — the four edit categories, the command vocabulary that produces predictable results, the failure modes that trip everyone up, and a five-step workflow for chaining edits across a multi-shot series without losing what you liked.

A step-by-step playbook for making AI-generated YouTube Shorts in 2026 — pick the right model (Gemini Omni Flash, Veo 3.1, Sora 2), write 9:16 prompts that actually work, stitch shots, add audio and captions, and publish without burning credits.

A practical guide to keeping the same character recognizable across multiple AI video shots — reference images, prompt structure, the "character lock" technique, common failure modes, and a copy-ready template.

A practical roundup of Gemini Omni Flash alternatives — Seedance 2.0, Veo 3.1, Kling 3.0, Runway Gen-4, Pika 2.0, Luma, Hailuo, Hunyuan, Wan 2.1, and LTX — with strengths, weaknesses, API access, and which one to pick for which use case. Updated for the Sora 2 shutdown and the Seedance 2.0 / Kling 3.0 leaderboard shift.

Gemini Omni Flash is free inside YouTube Shorts, subscription-gated in the Gemini app, and pay-per-second via the API ($0.10/sec in public preview). Here's the honest breakdown, what to budget, and how to make every credit count.

A practical comparison of Gemini Omni Flash and OpenAI Sora 2 — strengths, weaknesses, API access, conversational editing, character consistency, and which model to pick for which use case.