Content pre-production engine
Viral Content Foundry
Internal short-form content pre-production engine for turning ideas into hooks, scripts, captions, platform variants, review notes, and export-ready story packs.
Studio SystemsStudio project · not a public product

What it is
Viral Content Foundry is an internal studio workspace for planning and packaging short-form content before production. It turns rough ideas into structured story packs with concepts, hooks, scripts, shot breakdowns, captions, CTAs, platform variants, sequel ideas, source-confidence notes, review flags, and Markdown exports. It supports demo creator and admin workflows, prompt presets, saved generations, duplicate drafts, OpenAI-compatible generation, and deterministic mock fallback for offline testing. It is a studio tool for disciplined content prep. Not a guarantee of views, reach, or virality.
Key capabilities
01 Product
- Structured content packs for short-form ideas
- Platform variants for Reels, Shorts, LinkedIn, and other channels
- Review and safety fields for confidence, verification, and sensitive-topic notes
- Overview tab with what happened, why it matters, and what to verify
- Prompt presets and mode-shaped generation
- Saved generations with detail pages
- OpenAI-compatible provider with deterministic mock fallback
- Zod validation for provider output
02 Workflow
- Hook, script, shot-list, caption, CTA, and sequel sections
- Duplicate draft workflow for fast iteration
- Internal content operations workflow
- Structured generation and review pipeline
- Human-review-first workflow design
03 Output
- Markdown export for editor and client handoff
- Export-ready content packaging
04 Platform
- Prompt preset and mode-shaping architecture
- Prisma-backed saved generation model
- Creator and admin demo auth surface
Build / stack
Technology
- Next.js
- TypeScript
- Prisma
- SQLite
- Zod
- Vitest
System
- OpenAI-compatible
- Mock provider
- Prompt presets
- Content engine
- Markdown export
- Internal tooling
Status
Internal
Internal build focused on content story packs, script modes, prompt presets, review and safety fields, saved drafts, duplicate workflows, exports, and OpenAI-compatible generation with mock fallback.