VoiceStack Atlas: version‑aware speech deployment with Astro and Sanity

Description and use

VoiceStack Atlas delivers precise deployment planning for speech recognition systems by matching CUDA, cuDNN, and audio formats to current documentation, showing only evidence‑based instructions.

Problem

Deploying speech‑tool stacks requires matching runtime hardware and software versions to the correct documentation era, but generic searches can return conflicting or outdated instructions.

Outcome

VoiceStack Atlas delivers accurate, version‑specific deployment guidance, preventing installation errors caused by mixing historical and current documentation.

Workflow

• 1. User selects a runtime profile (device, CUDA, cuDNN, audio input).
• 2. The Astro frontend queries Sanity for all compatibilityRule documents matching the profile.
• 3. Each rule’s conditions are evaluated; only rules with status "current" are considered for action.
• 4. If a matching rule exists, its action and evidence are displayed; if not, an error is shown and no installation command is generated.
• 5. Historical rules (status "historical") are shown in a separate context section for reference.
• 6. The planner verifies the referenced source document is pinned to a specific commit before presenting evidence.

Evidence

I built VoiceStack Atlas, a deployment planner that keeps old speech‑tool documentation in its own era.

Source

The planner separates those paths and reminds the caller that transcription starts when the segment generator is iterated.

Source

The Astro frontend reads those documents through public GROQ queries and applies all conditions together.

Source

I checked three profiles against the live dataset before switching the public deployment from the earlier offline prototype.

Source