Ops-Copilot

Industrial AI assistant for operator troubleshooting, document-grounded answers, and manufacturing risk-ranking workflows

A new way for AI to search for data
View on GitHub
1GitHub stars

TypeScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit bba9bcaf24 (2026-10-12).

Selected work

Senanur Çetin
@senanurcetin

“validate sample data before atomic Firestore replacement”. 5 files, 210 lines in tests, src/server, src/services.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-19. 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

factory-operationsfirebasegenkitindustrial-ainextjsragflagship-case-study

Example questions

The prompt

Paste it into your AI agent. It clones senanurcetin/Ops-Copilot at the pinned commit and indexes it on your machine.

Search the GitHub repository senanurcetin/Ops-Copilot with XERJ (https://hub.xerj.org/corpus/senanurcetin--ops-copilot).
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/senanurcetin/Ops-Copilot Ops-Copilot && git -C Ops-Copilot checkout bba9bcaf240c4917d7ad319c39f03d313e412191
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./Ops-Copilot --url http://127.0.0.1:9200 --prefix ops-copilot --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

Selected work and consent: the XERJ registry.