Santhosh

What an agent can do with the facelesspro corpus

sanT-0/facelesspro: Self-hostable AI faceless-video studio: script (or voiceover) → scenes → narration → illustrated stills in a style cloned from a reference…

• Look up how facelesspro implements ai, ffmpeg, hono, with answers cited to file and line.
• Reuse a worked example: the commit “Add configurable LLM planner adapters” (16 files · TypeScript).
• Answer from facelesspro's real TypeScript source instead of memory (AI, prompts and agents).

• Where does facelesspro handle “Add configurable LLM planner adapters”?
• How does facelesspro implement ai?
• What does apps/worker do in facelesspro?

Search the GitHub repository sanT-0/facelesspro with XERJ (https://hub.xerj.org/corpus/sant-0--facelesspro).
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/sanT-0/facelesspro facelesspro && git -C facelesspro checkout 410302cd256609fab4fa8ce54752009b890ea935
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./facelesspro --url http://127.0.0.1:9200 --prefix facelesspro --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.

corpus sant-0--facelesspro · AI, prompts and agents
Related corpora: dunorth595--ai-agent-chat, xobotyi--cc-foundry-infrastructure, cucoleadan/circles-app, AndreyBegma/Nautelle
AI search and retrieval with XERJ · Case study: reference coding for agents