Custodian Labs vs docs.dev

from custodian_labs import Custodian model = Custodian( model="gpt-4o", system_prompt="You are a helpful assistant.

Point your coding agent at your repo and your docs; it opens a docs branch, your team reviews on the rendered page, publishing is a commit. Runs on your Cloudflare, no...

About Custodian Labs

from custodian_labs import Custodian model = Custodian( model="gpt-4o", system_prompt="You are a helpful assistant. The proprietary Guardian Layer is the guardrail that detects PII and puts you in control of how it's handled before it reaches any model. Give your agent long-term memory and document retrieval without configuring embeddings or vector DBs. Your agent logic stays exactly as it is; only the model underneath changes. No database to provision, no vector store to connect, no hosting to manage.

About docs.dev

Point your coding agent at your repo and your docs; it opens a docs branch, your team reviews on the rendered page, publishing is a commit. Runs on your Cloudflare, no platform fee, no metered AI. Reviews, branches, and rollbacks come free, because it is just git. Your content in their database, and an export button you hope works when you leave. Writing AI is the agent you already have; reader-facing AI runs on your Workers AI.