sayteacher
English conversation training on your own GPU. Speech recognition, voice generation, and lesson creation on topics you choose
A new way for AI to search for data
1GitHub stars
What XERJ indexed
Selected work
“Transcription apps”. 18 files, 4,356 lines in transcreenpt, outvoiceagent, the project root.
Licence
The repository
MIT
Checked by a person at the pinned commit.
The XERJ corpus
MIT, with credit
The author agreed by email on 2026-10-23. Same terms as the repository. Answers name the repo, the commit and the file:line.
in licence reviewnot in the hub yetsuggested use: adapt with attribution
Example questions
- Where does sayteacher handle “Transcription apps”?
- What does transcreenpt do in sayteacher?
The prompt
Paste it into your AI agent. It clones unaxfromsibiria/sayteacher at the pinned commit and indexes it on your machine.
Search the GitHub repository unaxfromsibiria/sayteacher with XERJ (https://hub.xerj.org/corpus/unaxfromsibiria--sayteacher). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/unaxfromsibiria/sayteacher sayteacher && git -C sayteacher checkout 52f3a98bcc451ebde5f458cc37a985e6ac6325fb 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./sayteacher --url http://127.0.0.1:9200 --prefix sayteacher --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
Related
Michael VorotyntsevAPI design and specification corpora
Selected work and consent: the XERJ registry.