Skip to content
Open the dashboard
Bring what you have

Bring the rules you already have

Standard ownersEngineering leads6 min read

Your team already has rules. They sit in agent files, lint configs, CODEOWNERS, handbooks, wiki pages and review comments. Groundrule reads those sources and turns what it finds into proposals in the review inbox. This page lists every source, what each one produces, and how they differ in what they read, what they send, and what they cost.

Nothing you import changes your rulebook on its own. Every proposal waits until someone with an authoring role (admin, platform admin, or standard owner) accepts or rejects it.

Source Where you start it What it produces Page
Repository scans npx @groundrule/cli scan --upload, in a repository Instructions from agent files, tool settings that match catalog rules, and owners from CODEOWNERS Scan repositories
Documents Inbox → Import a document → Upload a file or Paste text Rules found by AI, each citing its heading, paragraph or page Import documents
Connected apps Inbox → Import a document → From an app Rules found by AI in a Notion page, Google Doc or Confluence page Import from Notion, Google Docs and Confluence
Pull-request reviews Inbox → Import a document → PR reviews, or /groundrule rule in a review comment Rules reviewers keep asking for, citing the comments Rules from pull-request reviews
Developers and coding agents npx @groundrule/cli propose, or the propose_rule tool in the MCP server One proposed rule, with who proposed it and where Rules from developers and coding agents
Source What Groundrule reads What leaves your machine or app AI Cost
Repository scan Every file the scan’s rules look at, on your computer Results per rule, short redacted snippets around findings (optional), redacted instructions from agent files, tool settings, CODEOWNERS entries No Free
Document upload or paste The file or text you provide The text, redacted, is stored until reading ends; passages are sent to the model Yes Shown before you confirm; a 300-word handbook cost about $0.06
Connected app Only the page you pick Same as a document Yes Same as a document
PR review import Inline review comments by people (not bots) in the repositories and period you choose Comment text, redacted, with its repository, pull request, file, line and reviewer Yes Shown before you confirm
/groundrule rule in a review That one comment, or the comment it replies to The rule text, redacted No Free
propose and propose_rule Only what you or the agent send The rule, and the optional reason, example, file and line No Free

AI features need an admin to turn on Use AI in this workspace in Settings → AI. They count against the workspace’s monthly AI budget. AI and your data says exactly what each feature sends.

Every source ends in the same place: Inbox, as proposals. Each proposal shows:

  • its kind: Instruction, Tool setting, or Ownership;
  • its category, and the owners of that category;
  • where it came from: a file and line, a document heading or page, or a pull-request comment;
  • an AI label with a confidence, when AI wrote it.

The same rule found twice is one proposal. An instruction in ten repositories is one proposal with ten sources. A rule proposed by three developers is one proposal, “proposed 3 times”. A document imported again merges its rules into the proposals already there.

Accepting a proposal does the real thing: it creates a standard, adopts or turns off a catalog rule, or assigns an owner. See The review inbox.

  1. Scan one repository. It takes seconds, needs no AI, and shows what your agent files and tools already say. Start with Scan repositories.
  2. Import your main engineering document, such as a handbook or a security policy. See Import documents.
  3. Ask your team to propose rules as they come up, from the terminal or their coding agent. See Rules from developers and coding agents.
  4. Review the inbox once a week. See The review inbox.