Helping startup operators move faster with automation

I train business professionals on AI and automation: workshops, online courses, live sessions, all the way down to custom company training programs

Alexandre Kantjas

This is definitely one I didn't have on my bingo card this year: Meta just bought Manus AI for $2B. Thoughts:

While everyone's still talking about who has the best model, Zuck bets on another field: the application layer where the real value gets created (and captured).

The AI stack is splitting into two battles:
→ 𝘔𝘰𝘥𝘦𝘭𝘴: OpenAI, Anthropic, Google competing on foundation models
→ 𝘈𝘱𝘱𝘭𝘪𝘤𝘢𝘵𝘪𝘰𝘯𝘴: Where AI actually does work people pay for

Meta struggled with models this year. They know it.

By doing this, Zuck doesn't panic buy: he repositions.

Manus already has:
→ Over $125M revenue run rate
→ Millions of active users
→ A general AI agent that actually executes tasks
→ Proof the application layer is where money flows

Meta didn't buy Manus because they're behind.

They bought it because they're ahead.

If you can't win the infrastructure battle, own the consumer experience.

Thoughts?

1,300+ people already registered to learn 𝐂𝐥𝐚𝐮𝐝𝐞 𝐂𝐨𝐝𝐞 with us this Thursday. Don't miss this opportunity!

Claude Code is the topic of the moment, and most assume it's only for developers.

It's not.

Claude Code is one of the most powerful automation tools available to any business professional. 

It can read your files, create documents, connect to external services, and run workflows directly on your computer.

The problem, if you're not technical: getting started feels overwhelming.

That's why we're hosting this 9x Live.

Jan Meinecke will walk you through everything you need to get started with Claude Code, step by step.

You'll learn:
→ The different ways to access Claude Code (and which to start with)
→ The difference between local and cloud modes
→ How to build your first workflow automation from scratch

No coding experience required.

𝐍𝐨𝐭𝐞: Claude Code requires a paid plan (Claude Pro at $20/month or API credit). But even if you're on a free account, come watch, ask questions, and decide if it's worth it for you.

Want in? 

→→→ Comment '𝐂𝐥𝐚𝐮𝐝𝐞 𝐂𝐨𝐝𝐞'←←← 

I'll share the registration link with you.

See you there!

Kaboom! Anthropic just launched Cowork and made Claude Code accessible to non-developers. 

Yesterday, Anthropic launched Cowork as a research preview - a simplified version of Claude Code designed for business users who don't write code.

This is a big deal.

Claude Code has been the hottest AI tool since its release. Developers used it for coding. Then for everything else. Then business users started playing with it.

The problem: most business users found it too intimidating to adopt.

Cowork should fix that.

Here's what I'm expecting from it:

𝟭. 𝗧𝗵𝗲𝘆'𝗹𝗹 𝗻𝗮𝗶𝗹 𝘁𝗵𝗲 𝗼𝗻𝗯𝗼𝗮𝗿𝗱𝗶𝗻𝗴
Claude Code is powerful but complex. Cowork simplifies the interface specifically for non-technical users. Anthropic knows that business adoption requires lowering the barrier to entry - and they're betting big on making this accessible.

𝟮. 𝗜𝘁 𝘄𝗼𝗻'𝘁 𝗯𝗲 𝗮𝘀 𝗽𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗮𝘀 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲
Cowork comes with restrictions by design. I'm curious to understand what trade-offs Anthropic made - and whether those limitations actually help or hurt adoption for typical business use cases.

𝟯. 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗶𝘀 𝗺𝗼𝗿𝗲 𝗺𝗮𝗻𝗮𝗴𝗲𝗱
Enterprise buyers need controlled environments. If Cowork delivers better security guardrails while maintaining usefulness, it becomes the tool you can roll out to every employee.

Anthropic is executing on business AI better than anyone right now.

While other providers focus on developer tools or basic chat, Anthropic is building a complete stack for enterprise adoption - from power users (Claude Code) to everyday business users (Cowork).

If your company is still on the fence regarding which AI provider to standardize on: Anthropic is making the strongest case right now.

AI transformation isn't a 𝘵𝘦𝘤𝘩𝘯𝘪𝘤𝘢𝘭 problem. It's a 𝘴𝘵𝘳𝘶𝘤𝘵𝘶𝘳𝘢𝘭 one.

The bottleneck isn't technical skills. 

It's organizational structure.

These three 𝘰𝘳𝘨𝘢𝘯𝘪𝘻𝘢𝘵𝘪𝘰𝘯𝘢𝘭 𝘳𝘰𝘭𝘦𝘴 are a must to bring AI across the entire organization:

𝐀𝐈 𝐄𝐯𝐚𝐧𝐠𝐞𝐥𝐢𝐬𝐭𝐬 
Without this role, your AI pilots never get the resources to scale. Evangelists make AI a strategic priority, not a side project:
- Sell the vision from the top. 
- Get executive buy-in.
- Secure budget. 

👤 𝘞𝘩𝘰: Founders, C-levels, VPs 
✨ 𝘒𝘦𝘺 𝘴𝘬𝘪𝘭𝘭𝘴: vision, storytelling, strategic thinking, stakeholder management 
📊 𝘔𝘦𝘵𝘳𝘪𝘤𝘴: Budget secured, initiatives launched, board approval
--

𝐀𝐈 𝐂𝐡𝐚𝐦𝐩𝐢𝐨𝐧𝐬
Without this role, your AI strategy stays a PowerPoint deck. Champions bridge strategy to execution and drive adoption:
- Lead by example
- Drive change management
- Train teams and communicate wins

👤 𝘞𝘩𝘰: Middle management, AI Transformation Leads, Department heads, Regional heads 
✨ 𝘒𝘦𝘺 𝘴𝘬𝘪𝘭𝘭𝘴: Leading by example, change management, training & communication 
📊 𝘔𝘦𝘵𝘳𝘪𝘤𝘴: Pilot success rate, user adoption, training completion, cross-team usage
--

𝐀𝐈 𝐆𝐮𝐚𝐫𝐝𝐢𝐚𝐧𝐬
Without this role, your AI initiatives become legal nightmares. Guardians keep AI safe, legal, and ethical:
- Manage AI ethics and governance
- Navigate regulatory requirements
- Assess and mitigate risks

👤 𝘞𝘩𝘰: Legal counsel, Risk managers, IT security officers 
✨ 𝘒𝘦𝘺 𝘴𝘬𝘪𝘭𝘭𝘴: AI ethics & governance, regulatory knowledge, risk assessment 📊 𝘔𝘦𝘵𝘳𝘪𝘤𝘴: Incidents prevented, compliance rate, audit pass rate, policy adoption
--

You can have the best AI Operators, Builders, and Engineers in the world. 

But without Evangelists to fund it, Champions to drive it, and Guardians to protect it, you're building on sand.

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9x helps fast-growing companies supercharge their operations with no-code solutions. We advise you and your team on how to digitalise and automate your processes, work with the right tools and implement operational best practices. We also offer trainings to learn how to leverage technology at work: SaaS, APIs, no-code and low-code, and can take over special projects to help you build faster.

Jan Meinecke

Claude Code is the most powerful AI tool right now.

But most people think it's not for them.

They assume it's only for developers building software.

It's not.

Claude Code can read your files, create documents, connect to external services, and run workflows directly on your computer.

It's one of the most powerful automation tools available to any business professional.

The problem? Getting started feels overwhelming.

→ Multiple ways to access it
→ Confusing terminology
→ The terminal 🫣

We're running a "Claude Code for Beginners" session to fix that.

I'll walk you through everything you need to get up and running, step by step:

→ The different ways to access Claude Code (and which one to start with)
→ The difference between local and cloud modes
→ How to build your first workflow automation from scratch

No coding experience required.

📅 Thursday, Jan 15 at 5:00 PM CET

If you'd like to attend, drop a comment or DM me → I'll send you the link.

In 2025 I went all in on YouTube. 36 videos published.

But things didn't always go to plan:

Our editor Tomas just shared this little side project he was working on.

𝗠𝘆 𝟮𝟬𝟮𝟱 𝗯𝗹𝗼𝗼𝗽𝗲𝗿 𝗿𝗲𝗲𝗹 (...𝘵𝘩𝘢𝘯𝘬𝘴 𝘛𝘰𝘮𝘢𝘴)

Safe to say recording videos to a camera in an empty room isn't easy. It took months to get remotely comfortable with it. 

Some days I'd mess up the same line 10-15 times before getting one that worked.

A 17 minute video would take me a whole day to record (if not more).

One thing that helped? Tomas told me to talk to him during takes. Just say "cut that" when I mess up. Makes editing easier.

I may have taken that advice a bit too literally (You'll see in the blooper reel)

But here's what happened anyway:

- Our videos had over 2.2M views.
- 160K watch hours.
- Hit 50K subscribers on New Year's Eve.

Most importantly → Over 6-figures in revenue directly from YouTube.

If you're thinking about starting a YouTube channel for your business → Do it.

It's messy. It's uncomfortable. But it works.

Thanks for watching. ❤️

---

PS. If you haven't yet make sure to subscribe to our 9x YouTube channel. Just look for "@go9x".

We suck at sales follow-ups. 

But our AI agent doesn't.

Every day it reviews our open deals and tells us exactly where we're dropping the ball.

Real example from the other week:

"Follow-up task deadline passed. A week later, still no follow-up sent despite promising materials."

Its recommendation → "Send promised materials TODAY. Propose concrete next steps."

No one opened ChatGPT to ask "what should we do?"

The AI proactively reached out when we needed to act.

It's like having a head of sales kicking us in the butt.

--- 

🤖 AGENT SETUP

Platform: Make AI Agent

Data Sources:
→ Attio CRM: all meetings, transcripts, notes, tasks
→ Gmail: all emails related to the deal

Process:
1. Agent retrieves full context for each open deal
2. Analyzes pipeline status against timelines and commitments
3. Alerts via Slack only when action required
4. Accepts replies to update CRM records directly

Result: Proactive pipeline management without manual review overhead.

--- 

Let me know if you're interested in the blueprint & prompts and we can spin up a tutorial ✌️

Most companies give everyone ChatGPT access. 

And think they're "𝘼𝙄-𝙛𝙞𝙧𝙨𝙩." They're not.

The gap between "𝙪𝙨𝙞𝙣𝙜 𝘼𝙄" and "𝘼𝙄 𝙖𝙘𝙩𝙪𝙖𝙡𝙡𝙮 𝙩𝙧𝙖𝙣𝙨𝙛𝙤𝙧𝙢𝙞𝙣𝙜 𝙮𝙤𝙪𝙧 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨" is massive.

This video walks through our 5-step playbook for AI transformation.

It comes from training 5,000+ business professionals over 3 years.

With real examples from our own business → including an AI agent that basically manages our sales pipeline.

If your team is past the experimenting phase and ready to get serious, I break down each step in the video. 

Take a look and let me know what you think 👀

--- 

P.S. How many steps do you think your company has actually nailed?

Open video: How to Get Ahead of 99% of Businesses (with AI) on youtube.com

How to Get Ahead of 99% of Businesses (with AI)

The best AI users don't write better prompts.

They write better documentation.

It's called 𝗰𝗼𝗱𝗶𝗳𝘆𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲.

Instead of typing requests from scratch every time, you document how you do things once → then AI follows it every time.

What to codify:
→ Your processes (how you write emails, run campaigns, handle support)
→ Your standards (what "good" looks like with real examples)
→ Your voice (tone, words you use, words you avoid)

Where to put it:
→ Notion Agents
→ Custom GPTs or Gems
→ Claude Projects and Skills

Pick one process you repeat weekly.

Document the steps. Add 2-3 examples of good output. Give it to AI.

Now you're not prompting from scratch.

You're giving AI a playbook to execute.

This is why it matters:

Generic AI gives generic results that could come from anyone.

Codified AI gives results that could only come from you and your company.

Your processes. Your voice. Your IP.

That's a competitive moat.

--- 

P.S. What's one process you repeat every week that you could codify?

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The Battle

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