Outreach Kit
Use these messages to request sources, operating examples, and accuracy corrections without asking for promotion.
Who To Invite
- People writing directly about Loop Engineering.
- Maintainers of agent runtimes with scheduled, goal-driven, or event-triggered agent work.
- Builders running PR babysitting, CI repair, docs drift, deploy verification, feedback clustering, or evaluation loops.
- Researchers working on agent feedback, reflection, planning, verification, state, and tool use.
Short Message
Hi <name>, Awesome Loop Engineering connects 730 papers, docs, tools, benchmarks, and guides with reusable patterns for recurring AI-agent systems.
If you have an original or official source, a correction, a real-world loop, or a cautionary example, you can contribute here:
https://github.com/ChaoYue0307/awesome-loop-engineering
Pattern Request
Hi <name>, do you have a public example of an agent loop you can share?
Useful examples name the trigger, intake, agent roles, verification gates, durable state, retry budget, escalation path, and receipts. An anonymized version is welcome when the implementation cannot be public.
Accuracy Request
Hi <name>, I included <work title> in Awesome Loop Engineering and summarized its contribution as: "<current annotation>."
Could you check whether that characterization is accurate? If it misses the main contribution, novelty, impact, or source link, please submit a correction:
https://github.com/ChaoYue0307/awesome-loop-engineering/issues/new?template=annotation-correction.yml
Maintainer Request
Hi <name>, Awesome Loop Engineering helps researchers and builders move from 730 papers, docs, tools, benchmarks, and guides to 22 operational patterns, 22 adaptable contracts, 8 runtime starters, and a structured dataset.
Would it fit the related-resources policy for <project or newsletter>? I can provide a shorter description or submit through the normal contribution process:
https://github.com/ChaoYue0307/awesome-loop-engineering
What Not To Ask For
- Do not ask people to endorse claims they have not made.
- Do not ask for private customer data, proprietary prompts, secrets, or internal dashboards.
- Do not imply the repository is a standard; describe the concrete resources and tools readers can use.
- Do not ask for stars, reposts, or endorsements in an accuracy request.