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How to Build a Personal AI Ops Assistant That Knows Your Projects

Use ChatGPT + workflows for internal project management.

Introduction:

If your brain is the only thing keeping your projects organized — you’re the bottleneck.
Juggling timelines, tasks, updates, and team check-ins across tabs and tools doesn’t scale.
You don’t need another dashboard.
You need an operator — one who knows what’s happening, what’s next, and what’s falling behind.

That’s where your AI Ops Assistant comes in.
Built with ChatGPT and simple automations, it becomes your behind-the-scenes project thinker:

  • Tracking what you’re working on

  • Surfacing priorities

  • Nudging you when something’s off-track

This isn’t just “using AI.” It’s embedding intelligence into your operations — so you can stay focused on leading, not remembering.

Why This Works

Most productivity systems fall apart for one reason: humans have to maintain them.
But when you offload thinking about the work — not just doing the work — you free up massive mental bandwidth.

Your AI Ops Assistant isn’t here to replace you. It’s here to:

  • Keep tabs on your active projects

  • Highlight what needs your attention

  • Prompt you with updates, blockers, and priorities
    All without you lifting a finger (or opening 12 tabs).

How to Build It: Step-by-Step

1. Feed It Your Project Context

Your assistant needs to know the playing field. Start by uploading:

  • Project scopes & goals

  • Tasks and timelines

  • Docs, briefs, SOPs

  • Team roles and dependencies

You can drop these into Notion, Google Docs, or structured Airtable fields — then paste links or summaries into ChatGPT.

2. Define Its Role

Set clear instructions like:

“You are my project manager. Help me track, prioritize, and update progress across [Project A, Project B, Project C]. Highlight blockers, suggest next steps, and summarize weekly progress.”

The more specific, the smarter it gets.

3. Connect Tools for Real-Time Awareness

Pair ChatGPT with your systems to pull real-time data and trigger automations:
🧩 Notion / Airtable — store structured project info
⚡️ Zapier / N8N — connect tools, automate check-ins
📬 Slack / Email — deliver updates, nudges, and summaries

Example: Use Zapier to ping GPT with task updates → GPT summarizes → Sends a daily digest to Slack or email.

Now your assistant’s not just smart — it’s plugged in.

Real Example:

🎯 A solopreneur managing 4 client retainers built a simple AI assistant using ChatGPT + Notion + Zapier.

Each morning, GPT sent a Slack message with:

  • What changed yesterday

  • What’s due today

  • Which clients were still waiting on deliverables

✨ Result: Fewer dropped balls, more mental clarity, and 90% less tab-switching.

Final Takeaway:

You don’t need to be the air traffic controller anymore.
Let AI handle the juggling.

When your assistant:
✅ Knows your projects
✅ Tracks your tools
✅ Flags what matters

You’re not just keeping up — you’re running ahead.

This isn’t project tracking.
It’s project thinking — on autopilot.

TL;DR 🧠

  • Still managing projects in your head? Build an AI Ops Assistant instead.

  • Feed it scopes, timelines, tasks, and goals

  • Define its role clearly — like a PM, not a chatbot

  • Pair it with Notion, Airtable, Zapier, Slack for full visibility

  • Let it track updates, flag blockers, and nudge your priorities

AI doesn’t just remember. It reminds, recommends, and helps you run your work like a system.

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