Most people use AI tools wrong.
They chat, generate something once, and lose everything the next day.
Watch the video below:
Want to make money and save time with AI? Get AI Coaching, Support & Courses.
Join me in the AI Profit Boardroom: https://juliangoldieai.com/0cK-Hi
So here’s what’s new.
Google just dropped Gemini Conductor, and the open-source world responded with MiniMax M2.1.
These two tools together change everything about how you build with AI.
Not theory.
Not hype.
Real execution.
Let’s break this down.
Why Most AI Coding Tools Fail
AI coding tools forget.
You build a project in ChatGPT or Claude, come back tomorrow — gone.
No context.
No continuity.
No memory.
That’s like hiring an employee who forgets what you said yesterday.
Gemini Conductor fixes that.
It saves your project’s context directly inside your files.
Every goal, tech stack, and workflow — all saved as markdown in your repo.
When you come back tomorrow, the AI still remembers.
And that’s a game-changer.
How Gemini Conductor Works
Gemini Conductor turns your workflow from reactive to proactive.
Instead of just “prompt and pray,” it forces you to plan before you build.
You define your product, goals, and specs first.
Then the AI builds according to that plan.
Every step.
Every task.
Every update.
That’s why it’s perfect for projects like the AI Profit Boardroom.
Say we’re creating a content automation tool for members.
You run “conductor setup,” define the purpose — like creating 10 LinkedIn posts automatically.
Then you run “conductor new track,” and it writes the full spec and plan.
You approve it.
Then “conductor implement” — and the code writes itself, step-by-step.
The best part?
Everything is documented and consistent.
That’s real AI project management.
The Power of MiniMax M2.1
Now let’s talk about MiniMax M2.1 — the other half of this equation.
Most models handle short tasks.
MiniMax is built for long-term planning and real execution.
It doesn’t just write code.
It follows instructions.
Uses tools.
Executes step-by-step workflows.
So if you give it a complex task — like generating email sequences based on user behavior — it won’t forget step two halfway through.
It plans, executes, checks, and adjusts — just like a real team member.
It’s open source, so you can run it locally, fine-tune it, or scale it without API limits.
Full control.
Zero restrictions.
The Ultimate AI Automation Combo
Here’s where it gets wild.
You can use Gemini Conductor and MiniMax M2.1 together.
Conductor does the planning.
MiniMax executes the plan.
Think of it like the brain and the hands of your AI team.
For example, you could use Conductor to plan a content repurposing system.
Then hand that plan to MiniMax, which builds the logic to turn one blog into a LinkedIn post, a tweet, and a YouTube script — automatically.
This is what real AI workflows look like in 2026.
If you want the templates and AI workflows, check out Julian Goldie’s FREE AI Success Lab Community here: https://aisuccesslabjuliangoldie.com/
Inside, you’ll see exactly how creators are using Gemini Conductor and MiniMax M2.1 to automate content creation, training, and lead generation — all powered by AI systems that think long-term.
How to Get Started with Gemini Conductor + MiniMax M2.1
For Conductor:
Install Gemini CLI.
Run Gemini Conductor setup — define your project.
Then Gemini Conductor new track — create your first plan.
Finally, run Gemini Conductor implement — and watch it build.
For MiniMax M2.1:
Either use the API via the MiniMax Open Platform or self-host using model weights from HuggingFace.
Set up your inference server and connect it to your system.
Then run tasks like, “Build a 5-email sequence for inactive users.”
MiniMax executes the logic automatically.
That’s full AI autonomy — today.
Why This Matters
Most people talk about “AI agents.”
But few know how to make them actually work.
With Gemini Conductor and MiniMax M2.1, you finally have a system that plans, executes, and improves — all without losing context.
This is what separates people who “use” AI from people who build with it.
FAQs
What is Gemini Conductor?
It’s a Google extension for the Gemini CLI that gives AI persistent memory, so your projects never lose context.
What is MiniMax M2.1?
An open-source AI model designed for long-term coding, tool use, and task execution.
How do they work together?
Conductor handles planning and context. MiniMax executes complex tasks according to that plan.
Where can I get templates to automate this?
You can access full templates and workflows inside the AI Profit Boardroom, plus free guides inside the AI Success Lab.
