Google just dropped something crazy.
Gemini Conductor launched.
And at the same time, MiniMax M2.1 — the most powerful open-source coding model — went live.
Watch the video below:
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These two tools are about to change how you build with AI.
Real memory.
Real project planning.
And agents that actually work.
Most AI tools forget what you told them yesterday.
You build something.
Come back tomorrow — gone.
No context.
No memory.
Gemini Conductor fixes that.
It’s an extension for the Gemini CLI that brings context-driven development into your workflow.
It doesn’t just chat.
It remembers everything about your project — goals, stack, workflow, specs, and plans — all saved as markdown inside your codebase.
So when you come back tomorrow or your teammate joins, the AI already knows the context.
How Gemini Conductor Actually Works
Gemini Conductor forces structure before execution.
You don’t just say “build this.”
You define what you’re building, why, and how — then the AI follows that plan.
It’s built around three steps:
Step one: Setup
Run conductor setup.
You define your product goals, tech stack, and workflow.
This gets saved inside your repo.
Step two: Specify and plan
Run conductor new track.
A “track” is basically a feature or task.
The AI generates a spec and a plan you can review and edit.
Step three: Implement
Run conductor implement.
The AI writes code, marks tasks as done, and keeps the context intact.
That’s persistent context — something most AI tools can’t do.
Let’s say you’re building a new automation tool for AI Profit Boardroom members.
You run Conductor setup.
You define: “This tool helps members automate content creation for LinkedIn and Twitter.”
Then you run “conductor new track” to create a feature that generates 10 LinkedIn posts in their writing style.
Conductor writes the spec, builds the plan, and you just approve it.
Then “conductor implement” — and it codes everything while documenting each task.
That’s what real AI-assisted teamwork looks like.
MiniMax M2.1: The Open-Source Powerhouse
Now, let’s talk about MiniMax M2.1.
This is an open-source model optimized for coding, long-term planning, and real-world AI execution.
Most models write a function.
MiniMax builds entire workflows.
It follows instructions, uses tools, and executes complex multi-step logic without losing track.
For example:
You tell MiniMax, “Analyze member engagement data and create a five-email reactivation sequence.”
MiniMax plans the task, pulls the data, segments users, writes all five emails, and structures them into a complete sequence.
All in one go.
No hallucination.
No missing steps.
No extra prompts.
That’s long-horizon planning in action.
The Ultimate Combo: Gemini Conductor + MiniMax M2.1
Here’s the game-changer.
You can use Gemini Conductor and MiniMax M2.1 together.
Conductor handles planning, structure, and memory.
MiniMax executes the actual tasks.
Let’s say you’re building an automated content repurposing system for the AI Profit Boardroom.
Members upload one long article.
The system turns it into LinkedIn posts, Twitter threads, newsletters, and YouTube scripts — automatically.
Conductor defines the project and writes the roadmap.
MiniMax follows that roadmap, writes each format, and validates it.
You get complete automation — from idea to execution.
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 education, content creation, and client training — all powered by AI systems that think long-term.
Why MiniMax Being Open Source Matters
When you use GPT or Claude, you’re locked in.
You pay per token, deal with rate limits, and lose control.
With MiniMax M2.1, you own it.
You can self-host, fine-tune, and deploy it however you want.
No usage fees.
No limits.
You control the infrastructure — and that means full freedom to scale.
How to Get Started Today
For Conductor:
Install Gemini CLI.
Run the Conductor GitHub extension.
Run conductor setup to start your first project.
Then conductor new track to plan.
And finally, conductor implement to build.
For MiniMax M2.1:
Sign up for the MiniMax Open Platform or download model weights from HuggingFace to self-host.
Follow their GitHub guides, connect your server, and start building.
You’ll have a complete AI system in hours — not months.
FAQs
What is Gemini Conductor?
It’s Google’s new extension for the Gemini CLI that gives AI persistent memory and project context inside your codebase.
What is MiniMax M2.1?
An open-source AI model designed for coding, tool use, and complex task planning.
Can I use them together?
Yes. Gemini Conductor manages planning and context. MiniMax executes multi-step workflows 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.
