Ciny AI

Newsletter Automation turns existing work into a draft issue.

Newsletter Automation drafts issues from your published blogs and selected trending sources rather than starting from a blank page every time.

Book a walkthroughAll of Brand Social
AvailableStatus today · Agent: Franklin

Part of the Brand Social module. Built and tested, with its first live run during your onboarding once data and access are agreed.

Practical purpose

Newsletter drafts for review, built from your published work.

Reuse relevant existing work in an email issue.

Drafting is available, and each issue is held for review.

Service scope

Is this the right fit?

Who this is for

Teams with useful published work and an existing newsletter audience who need editorial help assembling the next issue.

What to bring

Source articles, the intended readership, your brand voice and any reliable performance signals used to choose the material.

What you receive

A newsletter draft for review, assembled from your published work.

Illustrative example

A monthly issue can connect an article, a practical tip and a product update with original introductions, rather than paste three unrelated links.

How to evaluate the work

Review relevance, factual accuracy and destination links before sending.

How it works

The workflow, step by step.

  1. Source material is chosen

    Pick recent blogs, trending items from sources such as Reddit, GitHub and Hacker News, or a mix. A reviewer decides what deserves a place in the issue.

  2. An issue is drafted in your voice

    Your brand pack sets tone and claims. It sits inside a consistent HTML layout.

  3. It lands in Render for review

    Read it, cut what you do not want, rewrite anything. It is a draft, not a decision.

  4. You approve every issue

    A person reviews and approves each issue, and confirms the audience and sender.

Evidence and scope

Search context and workflow facts.

1,300US searches a month for email marketing automation
3 source optionsyour blogs, trending items, or a mix of both

Search volume: Google Keyword Planner, United States, pulled 31 Aug 2026. It is historical search demand, not a traffic forecast. Other figures describe the documented Ruh AI record, workflow scope or stated limitations. They are not promised results for your business. Read the Ruh AI evidence and measurement limits.

The system behind it

Newsletter module

Drafting is built and can be switched on during onboarding. Each issue is assembled from your published work in a consistent HTML layout and held for review.

  • Drafting available
  • built for Ruh AI first
  • approval controls depend on the workflow
Read the first-party Ruh AI case study

Signals in

  • Your data
  • Your brand pack
  • What worked last month

Franklin · Newsletter module

Agree the workflow

  • data and access
  • approval and delivery
  • checks and limitations

Questions

Before you get started

Prefer to talk it through? Email hello@ciny.ai.

Can it run a drip sequence?

Drip sequences sit in Email Automation, which is planned. Newsletter Automation drafts each issue for review.

Will it send emails on its own?

No. Each issue is held as a draft until a person reviews and approves it.

Where do the issues come from?

From your published blogs, selected trending sources such as Reddit, GitHub and Hacker News, or a mix of both. A reviewer decides what deserves a place in the issue.

Connected work

Work in practice

Read the evidence. Then talk about your business.

Two stories with different evidence levels. Read each source and its limits.

All case studies

First-party measurement

Ruh AI

Organic leads, with the evidence attached.

Weekly organic leads rose from 6 in early July to 20 in the week of 24 August 2026. August paid spend was $0.

  • PostHog lead events, test entries excluded. Google Ads. August 2026.
  • Measured on our own site. Observed results, not a guarantee or proof of causation.
Discuss your goals
Weekly organic leads
6 to 20
Evidence
First-party
Read the study

Published Ruh AI customer story

Rapid Innovation

A more connected marketing workflow.

Ruh AI reports 37% more leads for Rapid Innovation after introducing AI-supported research, publishing and lead qualification.

  • Source: the published Rapid Innovation story on ruh.ai.
  • Publisher-reported results. Measurement period and methodology are not disclosed. Not a measured Ciny result.
Discuss your goals
Reported leads
+37%
Source
Ruh AI story
Read the study

These studies explain the wider work behind Ciny. They do not establish results for every capability. Live, Available, In build and Planned labels still apply.

Explore Newsletter Automation. Plan it into your onboarding.

It is built and tested. We confirm your data, connections and scope, then run it for the first time with you.

Book a walkthroughExplore the case studies