CONTENT CREATION

Weekly email digest of the week's ReadMe changelog entries

On a weekly schedule, pulls all ReadMe changelog entries published in the last seven days, summarizes them into a single digest with a cover banner.

CategoryContent Creation
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires
  • ActionFetch ReadMe changelog entries from last 7 daysReadMeReadMe
  • LogicStop if no entries published this week
  • ActionWrite grouped weekly digest summaryOpenAI
  • ActionRender dated digest cover bannerImage generation
  • OutputDraft weekly digest email in OutlookOutlook

What it does

Instead of one email per release, this batches a week of ReadMe changelog activity into a single digest. On a schedule it fetches the past seven days of published entries, writes a roundup summary grouped by theme, generates a cover banner, and leaves a polished email draft in Outlook for the editor to send Monday morning.

When to use it

When you ship often but want to email customers at a calm weekly cadence rather than firing a blast on every entry. Good for product newsletters and "what shipped this week" updates.

How it works

  1. 1A weekly schedule trigger fires (e.g. Monday 8am).
  2. 2A ReadMe step fetches all changelog entries published in the trailing seven days.
  3. 3A logic step checks whether any entries exist; if none, the run ends.
  4. 4An OpenAI step writes a grouped digest with section headers and links.
  5. 5generate-image renders a dated cover banner for the digest.
  6. 6An Outlook draft email is created with the digest body and banner, ready for review.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ReadMeAPI docs, changelog, auth.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect Image generationManaged Nano Banana image renders, metered per image.
  4. 4
    Connect OutlookMail, calendar, contacts.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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