{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "longsurf-ai-openchart--build-alert-monitor-from-plain-language",
 "repo": "longsurf-ai/openchart",
 "repo_url": "https://github.com/longsurf-ai/openchart",
 "repo_slug": "longsurf-ai-openchart",
 "title": "Turn a plain-language watch rule into a Tea monitor",
 "page_title": "How to turn a plain-language watch rule into a Tea monitor with Openchart",
 "summary": "Describe a market condition to your agent and get a Tea monitor that checks incoming data and investigates when it fires.",
 "who": "An investor with a specific rule in mind, such as a volume or price pattern, who does not want to write monitoring code.",
 "problem": "Watching for a specific market condition across assets is hard to keep up with by eye.",
 "outcome": "A Tea monitor that evaluates incoming data for your condition and runs an investigation when it fires.",
 "steps": [
  "Run `just install --frozen-lockfile` from the cloned Openchart folder to install dependencies and build Tea.",
  "Run `just desktop` to start the app.",
  "Describe in plain words the condition you want to watch, and let your agent build the Tea monitor.",
  "Confirm the monitor is set to evaluate incoming data and investigate when the condition fires."
 ],
 "agent_prompt": "In the openchart repo, create a Tea monitor that watches for <condition> on <symbol> and investigates when it fires. Expected output: a monitor definition that evaluates incoming data and triggers an investigation. Verify by checking that the monitor compiles and that the condition matches the rule I described.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "1 hour",
 "basis": "readme",
 "caveat": "The README does not document the monitor file format or how Tea monitors are deployed, so the agent should read the Tea documentation before relying on its output.",
 "category": "Money",
 "tags": [
  "Money"
 ],
 "lang": "typescript",
 "requirements": [
  "macOS on Apple Silicon for the packaged Desktop app, or Node.js 24, npm 11.11.1, Bun 1.4.2, and Just for a source build",
  "An account with your agent provider (Claude, Codex, or Gemini models) to power the agent features",
  "Optional: OpenChart Cloud market data, which is priced separately",
  "Git, for cloning the repository in the source build path"
 ],
 "risk": "sensitive",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.8,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/longsurf-ai-openchart/build-alert-monitor-from-plain-language/",
 "md": "https://dedupedai.com/use-cases/longsurf-ai-openchart/build-alert-monitor-from-plain-language/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/longsurf-ai-openchart--build-alert-monitor-from-plain-language.json",
 "api_version": "v1"
}