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AI video

CAN I VIBECODE

Hour One?

NOT REALLYA prototype of the interface is possible, but the durable product depends on difficult systems beyond the UI. Build a safer adjacent workflow instead.

BUILD FIRST

  1. A non-sensitive or read-only version of the core experience
  2. A manual review step wherever correctness or trust matters
  3. A narrow companion tool that removes a real piece of work

LEAVE FOR LATER

  1. Regulated decisions, payments, or irreversible actions
  2. Claims of correctness, compliance, or uptime that the MVP cannot support
  3. Sensitive integrations until security, support, and auditability are ready

RESEARCH NOTES

What this tool actually does.

Checked 2026-09-06

Hour One (hourone.ai) is a commercial all-in-one AI video generation platform. Users type or upload scripts, PDFs, PPTs, or URLs and generate presenter-led videos featuring realistic AI avatars, or create a custom 'Studio' avatar from webcam/selfie or voice clone. It offers text-to-speech in 100+ languages/voices, auto-translation, auto-dubbing, screen recording, closed captions, 3D templates, layout/camera options, and a Brand Hub for logos, colors, and intros/outros. Collaboration features include workspaces, roles, real-time comments, and sharing. An API enables programmatic video generation. The platform reports ISO 27001 and SOC 2 Type II compliance, enterprise scalability, and community-safeguarding guidelines. It operates as a subscription service with a free tier; exact pricing was not captured in this research.

RESEARCHED BUILD PROMPT

Give this to your coding agent.

Build a focused replacement for Hour One's core workflow: a web app where a user writes or uploads a script (text, PDF, PPT, or URL), selects a presenter avatar and voice, previews a scene-by-scene timeline with adjustable layouts/captions, and renders a downloadable MP4. 

User-facing requirements: avatar library (stock and custom upload), text-to-speech with language/voice selection, auto-translation, scene editor with templates, brand kit (logo/colors/intros), and team workspaces with comments. 

Technical requirements: React/Next.js frontend, Node.js API, PostgreSQL for projects/users, object storage for assets, and a queue-based render worker using Remotion or FFmpeg to compose avatar video, TTS audio, captions, and overlays. Integrate a commercial TTS API (e.g., ElevenLabs, Azure Speech) for voices/translation and an avatar-lip-sync service (e.g., D-ID API) for presenter scenes. Add JWT auth, role-based access, and webhook notifications for render completion. 

Implementation approach: use a monorepo with separate web, API, and worker packages; store project state as JSON in Postgres; generate captions via TTS word timestamps; render at 1080p with configurable aspect ratios. 

Do not copy Hour One's brand name, logo, visual design, marketing copy, or exact UI layout. Use a distinct name and neutral SaaS styling. 

Explicitly out of scope: real-time streaming, mobile apps, meeting summarization, enterprise SSO, custom avatar training from video clones, and advanced 3D avatar generation. 

Include a README with setup steps (env vars, local dev, queue runner), API overview, and important limitations (e.g., TTS/avatar latency, per-request costs, no offline mode, browser rendering limits).
Visit the official product page