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You built a real workflow for catching up on Slack channels using AI. Let’s look at what you achieved and where to go next.

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What you built

  • Connected an AI assistant to a live service (Slack) — using real credentials
  • Fetched real messages from a real Slack channel
  • Produced structured summaries in multiple formats
  • Used follow-up questions to find specific information
  • All for free, in under 45 minutes

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What you learned

The skill that matters most isn’t coding — it’s knowing how to connect tools and ask the right questions. You learned to link an AI assistant to a real service, fetch live data, and turn it into something useful. That is a transferable skill you can use in any job.
  • How AI tools connect to external services (connectors and MCP)
  • How to write prompts that produce useful, structured output
  • How to customise summary formats for different audiences
  • How to ask follow-up questions to explore data without reading it yourself
  • How to work with AI as a productivity tool — not just a chatbot

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Ideas to try

Summarise multiple channels

Fetch summaries from several channels and compare what is happening across your workspace. Try: “Summarise #general, #announcements, and #project-updates from the last week. What are the common themes?”

Weekly digest

Create a weekly summary and share it with your team. Try: “Give me a weekly digest of #channel-name covering Monday to Friday. Format it as a newsletter I could paste into an email.”

Summarise private channels

If you used Path B (Gemini CLI), you can add the groups:history and groups:read scopes to your Slack App to access private channels you are a member of. Go to your app settings at api.slack.com/apps to add these scopes.

Export as a PDF

Combine this tutorial with the Create Professional PDFs tutorial — summarise a channel, then use Gemini CLI + Typst to create a beautifully formatted PDF report.
Copy this prompt — replace channel names
Summarise these three Slack channels from the last week:
- #general
- #announcements
- #project-updates

For each channel, give me 3-5 bullet points.
Then tell me: what are the common themes across all three channels?
Copy this prompt — replace #channel-name
Create a weekly digest for #channel-name covering the last 7 days.

Format it as a short newsletter with:
- A one-sentence overview at the top
- Key updates (bullet points)
- Action items
- Links shared

Make it professional enough to paste into an email to my team.
Copy this prompt — replace #channel-name
Read the recent messages in #channel-name and find any questions
that were asked but never answered.

List each unanswered question with:
- Who asked it
- When they asked it
- The full question

This will help me make sure nothing falls through the cracks.

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Reflect

Many people are surprised how straightforward it is to connect AI to services they use every day. The technical barrier is much lower than most expect — especially with connectors (Path A) that require no setup at all.
The same approach works for emails, meeting transcripts, documents, news articles, and more. Once you know how to write effective prompts, you can apply this skill to any text-heavy task.

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Resources

ResourceDescriptionLink
Claude DesktopDownload Anthropic’s AI assistantclaude.ai/download
Gemini CLIGoogle’s AI assistant for the terminalgithub.com/google-gemini/gemini-cli
Slack API docsOfficial Slack API documentationapi.slack.com
Slack MCP serverThe MCP server used in Path Bnpmjs.com/package/@modelcontextprotocol/server-slack
Manage your Slack appsCreate and manage Slack Appsapi.slack.com/apps
Thank you for completing this tutorial! You went from zero to summarising real Slack conversations with AI. The ability to connect tools, fetch data, and extract meaning from it is valuable in any role — take this skill with you.