ChatGPT and Grok Now Handle All My Slack Replies and Weekly Status Updates – Hands Off

By Kieran Smith

For years, Slack drained my time more than any client. Pings during deep work, chaotic threads, vague requests—all of it slowed me down. So I tried something drastic: I trained Artificial Intelligence ChatBots, specifically ChatGPT and Grok by xAI, to handle my entire async communication layer.

It worked better than I expected.

Now, my Slack is 90% AI-managed. Team messages, weekly updates, client nudges, reminders, meeting prep—all handled by a hybrid model stack that replies instantly, keeps tone human, and buys back 6–7 hours a week.

Here’s the system.

What My Slack Looked Like Before

• 23 unread DMs every morning
• Context lost in scattered channels
• Status updates that felt like chores
• Follow-ups always late or templated
• “Hey, just checking in…” 12× a day

And the worst: every interruption killed my flow.

What AI Handles for Me Now

The system is prompt-based, not app-integrated. No bots are posting. Just smart outputs routed through me—or via delayed-send in Slack.

The Key Prompts I Run Each Morning

1. Weekly Status Post Generator (GPT-4):

Act like a product lead. Based on my current tasks (paste), write a Slack-ready update for #team-leads. Include:

• 3 wins

• 2 priorities

• 1 blocker or question
  Keep tone proactive, clear, and short.

2. Channel Reply Generator (Grok):

Read this thread. Draft a reply that:

• Acknowledges the key point
• Adds one useful suggestion
• Tags the right teammate
  Make it sound like me. No fluff.

Where It All Comes Together

Inside Chatronix – 6 models, 1 workspace

Most people toggle between ChatGPT and Claude in tabs. I don’t.

I run all my Slack logic inside Chatronix, the unified AI chat workspace where I instantly test prompts across 6 models at once: GPT-4, Claude, Grok, Gemini, Perplexity, and DeepSeek.

I type one prompt—say, “Write this weekly update from my notes”—and instantly get:

• Claude’s human tone
• GPT’s clarity
• Grok’s short-form style
• Gemini’s edge-case logic
• Perplexity’s context filling
• DeepSeek’s simplicity

Then I pick the best one, tweak if needed, and paste into Slack.

The Turbo Mode makes it even faster. I don’t wait. I prompt once, get 6 views, and move on.

Try this Slack automation flow with ChatGPT, Grok and more in Chatronix (free to start)

How I Tamed Slack Threads With Claude and Grok

Threads are a mess. So I use this combo:

Claude Prompt:

Summarize this channel thread into:

• Main decision
• Key data point
• Next action (who + what)
  Format for pasting into a follow-up message.

Grok Prompt (for reply):

Based on this decision (paste), write a message that:

• Confirms next steps
• Assigns one action
• Sounds like I’m in the loop, not out of touch

Now my team thinks I’m omnipresent. I’m not. Grok is just fast.

Bonus Prompts for Async Founders

1. “What Did I Miss?” Recap Prompt (Gemini)

Read this 8-hour channel log. Summarize what happened, what changed, and what I need to reply to. Bullet format.

2. Client Update Synthesizer (Claude)

Rewrite this bullet list into a polished 3-line client update for Slack. Friendly, confident, no jargon.

3. Friendly Reminder (GPT-4)

Draft a “just following up” message that includes:

• Reminder of the ask
• 1 recent progress note
• CTA
  Keep tone helpful and chill.

Table: What Each Model Does Best in Slack

Final Thought

Slack doesn’t need more tools. It needs better thinking.

Using ChatGPT and Grok together inside Chatronix gave me a comms layer that runs 24/7, sounds like me, and actually improves team trust—because I respond faster, clearer, and more consistently.

I didn’t automate my voice. I enhanced it.

And I got my focus hours back.

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