[KongchangAI]
Product

AirShot

A tool that provides audio analysis capabilities for coding agents. It uses pure CPU inference, has models available offline, supports both CLI and MCP invocation methods, and includes a Critic module that scores against a reference set and provides timestamped suggestions.

Timeline (last 90 days)

Oct 25

AirShot is a pure-CPU, offline-usable tool designed to add audio perception to coding agents.

Unverified50%
Oct 25

AirShot's CLI mode reloads the model on every call, taking 20 to 40 seconds per call.

Unverified50%
Oct 25

Through the MCP protocol, AirShot can keep the model resident in memory, eliminating the 20-40 second delay caused by reloading the model on every call.

Unverified50%
Oct 25

AirShot's Critic module can score audio against 7 professional release videos and output timestamped revision suggestions.

Unverified50%
Oct 25

The Critic module's score only indicates how similar the audio is to the 7 reference videos, not an absolute quality standard.

Unverified50%
Oct 25

AirShot's deployment process includes installing CPU-version Torch and dependencies, running the Doctor environment check, and registering the MCP into Cloud Code, with no GPU needed throughout.

Unverified50%
Oct 25

AirShot is suitable for checking release-video audio against existing professional standards, but not as the sole judge of audio quality.

Unverified50%

All Facts (7)

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