Powering workflows for next-gen creators
Terminal
System
Compute
Global
Network
Stop Publishing Hallucinations.
Start Shipping Engineering Assets.
Generic AI tools guess technical terms. Script Snap validates them against strict engineering ontologies. See the difference between "sounding confident" and "being correct".
Verified by Advanced AI Models
Creating content is hard.
Repurposing it shouldn't be torture.
The Algorithm Trap
You spend 20 hours editing a review, it spikes for 2 days, then flatlines.
The 'Whisper' Hallucinations
Generic AI tools turn 'PyTorch' into 'Pie Torch'. Fixing typos takes longer than writing.
The Repurposing Burnout
You know you should write a blog post for SEO, but you're too exhausted.
The Hybrid Cloud Engine
Orchestrated by Inngest. Powered by Railway. Edge-cached on Vercel.
%%{init: {'theme': 'dark', 'themeVariables': { 'fontSize': '14px', 'fontFamily': 'JetBrains Mono, monospace', 'darkMode': true }}}%%
graph TD
classDef user fill:#000,color:#fff,stroke:#fff,stroke-width:2px;
classDef vercel fill:#000,color:#fff,stroke:#fff,stroke-width:1px,stroke-dasharray: 5 5;
classDef railway fill:#0b0e14,color:#fff,stroke:#a855f7,stroke-width:2px;
classDef inngest fill:#0e1c26,color:#fff,stroke:#17d3d6,stroke-width:2px;
classDef ai fill:#1e293b,color:#60a5fa,stroke:#3b82f6,stroke-width:1px;
User(YouTuber):::user
subgraph "Frontend (Vercel Edge)"
UI[Next.js App]:::vercel
end
subgraph "Event Bus (Inngest)"
Queue[Async Queue]:::inngest
end
subgraph "Compute Node (Railway)"
Worker[Python Worker]:::railway
FFmpeg[Audio Extract]:::railway
Dict[Tech Dictionary]:::railway
end
subgraph "Intelligence"
Nova((SOTA ASR Models)):::ai
GPT((SOTA Reasoning Models)):::ai
end
User --> UI
UI -- "1 Submit Job" --> Queue
Queue -- "2 Wake Worker" --> Worker
Worker -- "3 Extract" --> FFmpeg
FFmpeg --> Nova
Nova -- "4 Raw Text" --> Dict
Dict -- "5 Corrected Text" --> GPT
GPT -- "6 Final Docs" --> UI