/demo · live walkthrough
A one-minute tour of what your LLM actually gets.
No recording required. Press play on either scenario below and watch the MCP payload, the LLM diagnosis, and the targeted drill your agent can generate — all from the same response. Mandarin is first: it's the moat most developers underestimate.
locale: zh-CN·stage 01/04·plays on first scroll
Scenario 01 · tonal hard-mode
The learner tries to order dumplings.
They say “shuǐ jiǎo” (水饺, dumplings). A generic STT mishears it as “shuì jiào” (睡觉, to sleep) — same syllables, different tones, completely different meaning. Watch what MCP actually hears.
reference_text
我想吃水饺
“I want to eat dumplings.”
Generic STT heard
我想睡觉
“I want to sleep.”
Chivox MCP heard
我想吃水饺
…plus pron, details[], and tone confidence — next four stages.
01
Record learner audio
Capture · then submit to Chivox MCP
Waiting for the previous step
02
Evaluation result
Phonetic matrix · ~40 fields
Waiting for the previous step
03
LLM diagnosis
Your model reads the matrix
Waiting for the previous step
04
Auto-generated drill
Agent plans next-session practice
Waiting for the previous step
Ready to wire it up?
Same payload. Your agent. Your production loop.
Drop Chivox MCP into Cursor, Claude Desktop, or any agent SDK. One npxand you're reading the same JSON you just saw above.
