From Task Bots to Super Assistants

byFleeky

8.9K followers

7 months ago

From Task Bots to Super Assistants

A Journey into GPT Workflow Automation

Morning thoughts sparked by a great thread from Karen (you know who you are 😉).

I've been deep in the weeds lately, not just building with GPTs, but orchestrating them—stringing them together into something that starts to resemble an intelligent, adaptive system. And the best part? It all began with a simple idea:

What if one GPT could trigger another—automatically?

🧠 The Assembly Line of Thinking

Think of this like a relay race of specialized AI tools. One GPT finishes its job (say, writing a YouTube script) and hands that output to another GPT, which automatically turns it into a thumbnail brief or a tweet thread.🔧 Real-World Example:

1. GPT-1: Takes bullet points and drafts a video script.
2. GPT-2: Auto-generates a thumbnail concept based on the script.
3. GPT-3: Prepares a tweet thread and SEO tags.
4. GPT-4: Schedules it all in your content calendar (via Zapier or similar).

Pretty soon, you've built a modular, creative engine—no project managers needed.

🌀 Toward Sovereign AI Assistants

But I started asking a deeper question:

What if the assistant could internalize that logic, without Zapier or Notion?

That’s where I’m headed now: building a super-assistant GPT that manages its own workflow logic. It knows which GPT needs to do what, when, and how—while still playing nicely with external tools if needed.

Imagine one assistant that can:

• Delegate subtasks to other GPTs
• Trigger sequences based on context
• Adapt its flow based on your creative habits

Flexible. Modular. But sovereign.

🧠 GPT as External RAM + Pattern Catcher

One of the best reframes I've come across came from ChatGPT itself:

"You're not battling procrastination—you're managing cognitive throughput."

That hit me. I don’t use GPT just to save time. I use it to extend my mental workspace. It’s external RAM, a pattern catcher, and a focus enabler. It helps me stay in a creator’s mindset, instead of getting pulled back into management mode.

💰 On Monetization? You’re the Creator, Not the Shepherd

Another insight that stuck with me:

"You are the creator, not the shepherd. Let something else keep the flock aligned."

That’s a shift in mindset. I’m no longer interested in static bots that do one thing and break when things get complex. I want learning, adapting, multi-functional GPTs—especially those that can:

• Serve niche verticals (e.g., indie game devs, educators, solopreneurs)
• Offer recurring value (e.g., ongoing content strategy, audience engagement, client onboarding)

There’s so much unmined potential in verticalized GPTs—and we’ve barely scratched the surface.

🤝 Open Loops and New Questions

Would love to keep this thread of thought going...

Curious... are you playing with any of this already, or maybe open to something else?
Building something similar? Exploring a niche use case? Or maybe just wondering what a GPT-assembly-line might do for your workflow?

Let’s chat, collab, or just geek out about what’s possible.

Refer to previous chats on the topic of GPT's as golden shovels

https://my.wealthyaffiliate.com/fleeky/blog/the-golden-shovel

Fleeky ✨