CONTENT CREATION
Approval-gated email and social launch from a ReadMe changelog
When a ReadMe changelog entry publishes, drafts the announcement assets and posts a Discord approval prompt; once a maintainer approves, it sends the email blast and pushes…
How it runs
The automated pipeline, trigger to output.
- TriggerReadMe changelog entry publishedReadMe
- ActionDraft email body and social captionOpenAI
- ActionRender launch banner imageImage generation
- ActionPost drafts to staff Discord for approvalDiscord
- LogicGate on approval; stop if rejected
- ActionSend approved email blast via OutlookOutlook
- OutputPublish approved post to social platformsSocial publishing
What it does
Adds a human checkpoint before a release goes wide. On publish, it drafts the announcement copy and banner, then posts an approval request to a private Discord staff channel. Only after a maintainer approves does it send the Outlook email blast and publish to your social platforms, so nothing customer-facing ships unreviewed.
When to use it
When announcements need sign-off before reaching customers and social audiences, but you still want the drafting done automatically the moment a changelog lands.
How it works
- 1A ReadMe changelog entry is published, firing the trigger.
- 2An OpenAI step drafts the email body and social caption from the entry.
- 3generate-image renders the launch banner.
- 4A Discord step posts the drafts plus banner to a staff channel and waits for an approval reaction.
- 5A logic step gates on approval; a rejection ends the run.
- 6On approval, the email blast sends via Outlook and the post publishes to social platforms.
Set it up
What you configure once, before turning it on.
- 1Connect ReadMeAPI docs, changelog, auth.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect Image generationManaged Nano Banana image renders, metered per image.
- 4Connect DiscordCommunity channels + voice + bots.
- 5Connect OutlookMail, calendar, contacts.
- 6Connect Social publishingCross-post to X, LinkedIn, Instagram, TikTok, and 4 more in one call.
- 7Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 8Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 9Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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