Multi-Agent Team Auto Morning Report Email
Script aggregates multi-agent and machine status → model generates email → scheduled delivery
- Who
- Operators and team leads managing multiple AI agents and machines
- You get
- Receive a structured email at 7am daily, replacing manual agent status checks
Constraints
Requires: scripted access to agent status and code repositories, email delivery capability, at least one LLM API (Claude/Codex/Gemini). Author uses 4 agents (Claude, Codex, Z.ai, Gemini) and 3 machines. Specific scripting language, scheduler, and email service are not specified.
What they did
Chris Pirillo used to open a chat every morning and type 'what happened overnight?' Now he runs a multi-agent auto morning report system: a script collects status data from four agents (Claude, Codex, Z.ai, Gemini) and three machines, a model generates a structured email, and it delivers at 7am daily. The email has five sections: three-line summary, real-time status, completed items with quality, blocked items with fix progress, and what's next. Operational rules enforce script/model separation, precise failure tracking, automatic idle agent restart, and single-fact bullets.
How it went
Day one's email reported 46 commits landed, 91 issues closed, and status from four agents and three machines. Author reports scanning it over coffee without manual queries. (Source: author report)
Worth knowing
Author did not disclose scripting language, scheduler, email service, API configuration, or costs. Z.ai uses GLM-5.3-Flash. Source is an experience report, not a setup tutorial; implementers must choose their own stack for data pulling and email delivery. Not tested by this site; reproduction requires additional technical decisions.
Steps
Script gathers facts
Automatically pull status data from all agents and machines: commit counts, issues closed, current running tasks per agent, failures/blocks and their resolution status. No email is generated without facts.
Model writes the email
Feed collected facts to a model to generate email body in fixed structure: 1) Three-line summary; 2) Real-time status per agent and machine; 3) Items completed since last check and quality (merged/parked/reverted); 4) Blocked items with fix progress and owner; 5) What's starting next. Rules: model writes only, never fabricates; failures count only if still unresolved; idle agents must be restarted before reporting (unless out of budget); one fact per bullet.
Schedule delivery
Configure automatic email delivery at 7am daily. Author's day-one email included: 46 commits, 91 issues closed, status from 4 agents and 3 machines.
Operational rules
Enforce four anti-hallucination rules continuously: ① Script gathers facts, model writes only, no facts means no email; ② Failure counts only as latest unresolved result, fixed items explain the fix; ③ 'Nothing' for agent current work is wrong unless out of budget—report restarts idle agents before writing; ④ Bullets, one fact each, scannable over coffee.
Prompt you can copy
Reference prompt · Editorial suggestion。Confirm the destination, input variables and output format before use.
This block is the prompt. Ads are never placed here.
No prompt needed — just follow the steps.
Configure script collection, model invocation, and email delivery per steps; no fixed prompt template needed.
Source
不再每天早上问「昨晚发生了什么」:多 Agent 团队 7 点发晨报邮件——脚本收集事实、模型只负责写,附 4 条防胡写规则 · ChrisPirillo · X · 2026-10-16T21:11:25.000Z
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