Review of Slack Product Release Messages
New Slack release posted? The agent reviews it with AI to approve, exclude, or auto-generate the final message.
What it does
Review your Slack product release messages to determine if they are ready for public release or should be excluded. Generate a post automatically when the AI approves the announcement.
Step by step
- Configure the Slack webhook trigger to listen for new messages in the #releases channel.
- Set up a Make scenario that calls the AI Toolkit API with the message text and context variables.
- Define a conditional logic block to route approved messages to the 'announcements' channel draft.
Where the LLM does the work
- Instruct the LLM to evaluate tone, clarity, and potential misinterpretations before approving public release.
- Ask the AI to rewrite vague or overly technical phrasing into clear, user-friendly language for the final post.
- Have the model generate a concise summary of key changes if the original message is too verbose.
Watch out for
Sensitive internal jargon might confuse external audiences, so explicitly instruct the LLM to translate technical terms into plain English.
Overly aggressive rewriting by the LLM may lose critical nuance, so include a 'do not change' constraint for specific regulatory or compliance statements in your prompt.
Tools that fit
Make AI toolkit LLM analyzing message content and deciding on public release status
The agent brief
Everything your agent needs, including the gotchas. Copy it and go.
You are helping me build the following AI agent workflow. ## Goal Review of Slack Product Release Messages: New Slack release posted? The agent reviews it with AI to approve, exclude, or auto-generate the final message. ## Specification - What it does: Review your Slack product release messages to determine if they are ready for public release or should be excluded. Generate a post automatically when the AI approves the announcement. - Trigger: Triggered by an event (Event · on new release announcement) - Autonomy: You approve along the way - Expected setup effort: about an afternoon - Tools/services involved: - Slack: receiving product release messages - Make AI toolkit: analyzing message content and deciding on public release status ## Known pitfalls, handle each one explicitly in your implementation 1. Sensitive internal jargon might confuse external audiences, so explicitly instruct the LLM to translate technical terms into plain English. 2. Overly aggressive rewriting by the LLM may lose critical nuance, so include a 'do not change' constraint for specific regulatory or compliance statements in your prompt. ## Reference implementation https://www.youtube.com/watch?v=DcpMaUuqOWc (workflow template) Fetch and inspect this before building. If it matches my stack, adapt it; if not, rebuild the pattern with my tools. ## Process requirements 1. Before building: ask me which of the listed tools I actually use and what my platform is (n8n / Make / code / other). Do not assume. 2. Adapt the pattern to my answers; do not force the reference stack. 3. Address every pitfall above; tell me how you handled each. 4. Provide a test plan I can run before letting this touch real data. 5. Ask before any step that sends messages, modifies data, or spends money. Source: https://usecasesforagents.com/use-case/ai-review-of-slack-product-release-messages/ via usecasesforagents.com
Frequently asked questions
Can I use a different Messaging than Slack?
Yes. Slack is only the example messaging in this recipe. The same flow works with ClickSend API, Discord, Google Chat and LINE Messaging API. Swap the messaging connection and keep the rest of the setup as written.
Want this running in your business?
This is what I do. I design and build AI agents like this one, and keep them running. If you want it set up for your team instead of doing it yourself, get in touch.
Who it's for
Built for developers who want the busywork around code automated, not the code itself.