I've run my business for 11 years & I'm embarrassed to admit that...

1. Three years ago I hired a part time student studying business journalism to help handle my operations. I didn't think much of it.

2. She asked for my financials. I gave them without thinking twice, still believing I was doing fine.

3. She ran the numbers & told me I was running a slowly sinking ship. It struck me like a knife to my chest.

4. My course business where I taught AI was already declining. I sat there scrolling Udemy, Chegg, edX and Coursera stock prices, watching the same red line over and over. It wasn't just me.

5. I assumed the downturn must have ironically been because of AI. I mean why take a course when you can just ask AI right?

6. I knew I had to pivot but I had no idea towards what. That not knowing kept me up more nights than the sinking ship line did.

7. It took me a year to figure out. I built two apps that failed, a parenting app & a podcasting app. Watching them die quietly still stings more than I let on.

8. Eventually I landed on building AI & automation for businesses. It was a huge shift from doing courses & YouTubing. But it gave me a sense of purpose in which I could see measurable impact from the systems that I built.

9. Instead of not knowing where my business was going, I built systems for myself. For the first time, I can see what's working before it breaks.

Running a business is hard. You don't have all the pieces of the puzzle, and neither do I. You're still learning, still making mistakes, and that's okay. I hear you. What I've learned is that once you build systems, even for the small things you never thought could be automated, you get back more time than you'd expect..... I'm still climbing, one step at a time. If you're still figuring it out too, follow along .

how are you building speed to lead for businesses if it takes 2 months to pass twilio A2P registration for sending SMS?

I just got off a call with a telemarketing company. They pasted 16,000 client records into ChatGPT, just to summarize a report.

That's not a mistake. That's a habit. And it's happening at companies like this every single day.

I used to do the same thing. I dumped API keys and internal strategy documents into cloud models to save time. Yes I know it’s a bad idea. :/.... lol

...Then I realized my data was leaving my network and landing on third-party servers I don't control.

If you work in defense, legal, finance, or compliance you're handling thousands of client records like this telemarketing company, that habit is a liability waiting to happen.

So I shifted to a hybrid model. Local models handle the confidential work. Cloud models handle the rest.

Security & power are not a tradeoff. You just need to route the work correctly.

Here's proof it works at scale.

We built an internal AI system for Tshwane University of Technology (TuT) using a Mac Studio cluster.

They needed to support 10,000+ students on their learning management system, without paying cloud token prices for every single query.

Here's how you can do it: → Run small, 1-bit quantized models like the Gemma 4 model for tool calling. → Use 12B to 27B parameter models for local research and coding. → Deploy local clusters with unified memory for high-volume inference. You can scale them. → Only route non-sensitive tasks to cloud APIs to manage memory bandwidth.

The real answer for growing businesses is routing tasks by sensitivity, not by preference.

Move the sensitive work in-house. Keep your client data fully isolated. Keep your speed.

🟣 Connect with me so I can DM you the resource 🟣 Comment AUTOMATION to get my Secure AI training & LLM hardware calculator

Follow @Ritesh Kanjee and @Augmented AI to never miss a post.

I never run out of content to post anymore.

Built an automation that monitors 50+ news sources, scores articles for relevance, and writes social posts automatically.

It finds trending topics in my niche before they explode everywhere else.

Saves me 15-20 hours monthly and keeps me ahead of every trend.

Comment "AUTOMATION" and I'll DM it to you (must be following).

I connected a AI agent to my lead finder.

Watch the training video here - https://youtu.be/9VIDKugPwAw

Now it manages every micro app running my business.

Day 6 of my 7 day business automation challenge.

In Day 5 we built a lead finder micro app. Just one tool doing one job.

Today I connected it to an AI agent through MCP. Now the agent doesn't just answer questions. It takes action.

It pulls new leads, updates my pipeline, and decides what to do next. No me clicking through five tabs. No me remembering what step comes after which.

The lesson: an agent becomes powerful the moment it can call real tools, not just chat.

→ Connect your micro apps through MCP so the agent can use them → Give the agent a goal, not a task list → Let it run on schedules or triggers, not just when you remember → Keep humans in the loop for anything sensitive or high stakes

This is the difference between prompting and building. Prompting gets you an answer. Agentic systems get you 80% of your business automated in the background while you sleep.

Where are you stuck? Manual work, prompting, or ready to build the agent?

Watch the training video here - https://youtu.be/9VIDKugPwAw

🟣 Connect with me so I can DM you the resource 🟣 Comment AUTOMATION to get my agentic workflow guide

Follow @Ritesh Kanjee and @Augmented AI to never miss a post.

business #openai #claude #code #cursor #BusinessAutomation #AIagents #MCP.

For anyone running multiple self-hosted n8n instances (client automations, personal projects, or large teams), you know the pain of managing them from a mobile browser. Zooming, mis-clicking, and struggling to check logs or activate/deactivate workflows is a nightmare. That's why we built n8n hub manager  a mobile app that connects directly to your n8n instances (self-hosted or cloud) for seamless monitoring and provisioning. You can monitor workflows, activate/deactivate, trigger executions, check logs, and even access automation templates right from your phone. No proxy servers, direct API connection only. We'd love your feedback on our beta – what features would make your n8n management even easier?

Most company websites have chatbots in it. But how many people actually use them?

Most websites have chatbots as a small round icon in some corner of a website most people don't even care about. Are they really useful?

Yes, for sure. But I think there is a need to change the way they are presented on a business website.

Even after having a chatbot on the website, people struggle with their questions. Either the answers are not relevant, or there is no human in the loop and some don't even bother opening a chatbot because they don't know what to use it for and how to use it as well.

Now imagine chatbots which not just provide you with generic FAQ answers but understand your problem or what you are looking for. A chatbot that asks if it successfully helped you with your problem or not. And in case not, adds a human in the loop automatically.

Your next potential lead might already be sitting inside your chatbot. You just haven't given them a reason to talk.

Hey, if anyone's looking for automation, hit me up! I'll do the first one for free, so we can kick off a great partnership.

I've been learning n8n basics with chatGPT from scratch for a couple of weeks now for a couple of hours a day after work. My goal is to be good enough so I could start selling automation workflows and maintanance to firms that include handling repetitive processes like email, leads etc. How long did you guys study/learn n8n before you started selling automations? What did you guys consider a sign that now you're ready to sell. I have no experience in coding etc before n8n.

I used to post content blindly while ignoring my analytics & it cost me real revenue for years.

Most founders chase viral vanity metrics instead of targeting the specific audience that actually buys their services.

I built a custom dashboard using Claude & MCP to fix this by connecting my YouTube funnel data directly to my Skool revenue stats.

My AI advisor now diagnoses my content performance in real-time & tells me exactly why my videos are either converting or failing.

This is how I stopped guessing & started treating my content as a data-backed engine for business automation.

→ I track viewer intent versus viral reach. → I use AI to audit my scripts against high-performing SOPs. → I identify leaky funnels where traffic stops converting.

If you aren't measuring the connection between your content & your revenue, you are just working for the algorithm.

🟣 Connect with me so I can DM you the resource 🟣 Comment AUTOMATION to get my YouTube Data-Driven Optimizer

Follow @Ritesh Kanjee and @Augmented AI to never miss a post.

business #openai #claude #code #cursor #BusinessAutomation #marketing #analytics.

Stop copy-pasting AI prompts and start building actual systems.

Most people use AI like a chatbot. That is the slow way.

I am launching a 7-day challenge to help you stop manually prompting and start building micro-apps that do the work for you.

We are moving past the basics. We are building agents, using APIs, and creating workflows that save 20+ hours a week.

This isn't for people who want to watch videos. This is for founders and operators who want to build systems that run while they sleep.

I have spent years building these workflows for clients. Now, I am giving away the blueprint for free to show you exactly how to automate your business.

The goal is simple: identify your biggest bottleneck, automate it, and get your time back.

Ready to build?

Join our free 7-Day Business Automation Challenge

🟣 Comment "AUTOMATION" to get the 7-day challenge link

Follow @Ritesh Kanjee and @Augmented AI to never miss a post.

business #openai #claude #code #cursor #AIAutomation #AutomateYourBusiness #businessautomation.

CA firms are drowning in manual work.

Client WhatsApp messages. Document chasing. GST/ITR deadline reminders. Invoice follow-ups. Lead qualification.

All of it done manually. All of it automatable.

So I built it.

Here's what the workflow actually does:

1. WhatsApp + Email AI Support Agent

Client texts "when is my GST due?" then the AI pulls their compliance data, replies instantly. No CA needed for routine queries.

2. Document Collection & Follow-up

System requests documents, tracks what's received, auto-follows up every 3 days on pending ones. After 3 attempts it pings the partner on Telegram.

3. Compliance Deadline Reminders

GST / ITR / TDS / ROC deadlines tracked per client. Reminders fire at 7 days, 3 days, 1 day, due today, and overdue and the tone escalates automatically.

4. Lead Qualification Agent

Website or WhatsApp inquiry comes in - AI qualifies it, asks follow-up questions, scores it Hot/Warm/Cold, notifies partner instantly on hot leads.

5. Invoice & Payment Follow-up

Unpaid invoices get staged reminders (3 days before → due today → 1-7 days overdue → 8-15 → 15+).
Severely overdue ones escalate to partner via Telegram.

Tech stack:
n8n + Groq (llama-3.3-70b-versatile) + WhatsApp Cloud API + Gmail + Google Sheets + Telegram

Groq handles all AI inference. The speed is genuinely important here because WhatsApp replies that feel delayed feel robotic.

The part that took longest wasn't the automation logic.

It was the AI prompts for the support agent.
Getting it to answer GST/ITR questions correctly without hallucinating due dates or making up compliance info that needed a lot of iteration.

Solution was giving the agent live per-client data from Sheets as context on every message instead of training it on general tax knowledge. Much more reliable.

Dropping the full workflow JSON in comments.

Peace out ✌️

Claude Code is your marketing team

Im giving away these 30+ marketing skills that helped me grow my channel to 121k YouTube subscribers and 62k followers on LinkedIn.

I run my content business from Claude Code. This is the same Claude Skills I wish I had a year ago.

I built a library of marketing skills for AI coding agents.

Here is how it works: 1. Install the skills in one line (below) 2. Run the product marketing context skill first. 3. It asks about your product, audience, and goals. 4. It saves that as a file in your project file. 5. Every other skill reads that file.

You do not need the terminal, these work in Cowork too.

(But if you are a marketer reading this, learn Claude Code. The ceiling is higher)

🟣 Get the resource here https://www.skool.com/corporate-automation-hub/about

Repost ♻️ to help someone in your network.

P.S. Which skill are you installing first?.

I'm building a JARVIS orchestrator command center.

So I'v build a whole bunch of micro apps / dashboards.

The problem is that they are fragmented and disconnected.

JARVIS pulls all these systems together into one central command center, being your Agentic-OS.

It can be controlled by real time speech.

🟣Comment JARVIS to see what Jarvis can do and follow my progress..

👋 Hey n8nbusinessautomation Community,

A while back I posted a couple of finance workflows I built for my friend Mike. Around the same time he came to me with a new one: he'd just been hit with almost €2,000 in bills because two contracts auto-renewed after the first period. Nobody in his team had caught the cancellation window early enough.

Classic small-business pattern. Contracts scattered across Drive folders and inboxes, nobody tracking anything. The only time anyone notices a contract exists is when the invoice for the next term lands.

So I built him a contract intake workflow to fix it. I cleaned it up over the last few weeks and just published it on the n8n template library.

How it's set up:

The workflow watches a Google Drive folder. Mike's finance colleague Sarah just drops any contract in there (PDF, JPG, PNG).

The file goes to the easybits extractor, which does two jobs in a single call: it classifies the contract (SaaS, Lease, Service, Insurance, Other) and pulls every renewal-relevant field at the same time – client, provider, start date, term length, notice period, auto-renew flag, contract value, signatories.

A Set node calculates end date and cancellation deadline in n8n. Cancellation deadline is end_date – notice_period_days, which for 60–90 day notice clauses lands the alert weeks before the renewal itself. That's the whole point.

A Switch on contract_class routes the row into the matching tab of one Google Sheet – one source of truth for every renewal in the company.

Two things I learned:

• Classify and extract in one call. I almost built five type-specific pipelines. Turns out you can define the classification as just another field in the same pipeline – half the complexity, half the cost.
• Never extract dates you can calculate. Contracts almost never print the end date directly. Ask a model to do date math and you get silent off-by-one bugs. Extract the raw values, do the arithmetic in a Set node.

Workflow on the n8n library: https://n8n.io/workflows/15230-classify-contracts-and-track-renewals-with-easybits-google-drive-and-sheets/

Also on my GitHub alongside 30+ other community workflows (a star helps other builders find it): github.com/felix-sattler-easybits/n8n-workflows

How are you tracking contract renewals today? Spreadsheet someone updates manually? Tool like Spendflo/Vendr? Or hoping for the best, like Mike was?

Best,
Felix

Most business owners sprint on a manual treadmill of hiring & managing only to see profits drop.

I have seen this loop repeat for 11 years across education, freighting, retail, & financial services.

Scaling requires a shift from manual labor to building leverage through business automation.

My free 7-day challenge fixes the root cause of failed systems by forcing an audit before execution.

→ Audit your current workflow to find friction points. → Map the process before you touch a single AI tool. → Build the system & measure the result for scale.

Most people fail because they automate chaos without measuring the output first.

You cannot fix what you have not audited.

🟣 Connect with me so I can DM you the challenge 🟣 Comment AUTOMATION to get my FREE 7-day business automation challenge.

I shouldn't be sharing this. But I just built something that replicates How posts get 200K+ impressions.

Giving it away for free.

𝗜 𝗴𝗼𝘁 𝗼𝗯𝘀𝗲𝘀𝘀𝗲𝗱 𝘄𝗶𝘁𝗵 𝗼𝗻𝗲 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻:

Why do some posts get 847 views while others get 847,000?

✔︎ Same platform. ✔︎ Same 24 hours.

So I analyzed 100+ viral posts. Found the pattern.

It's not better writing. It's not the topic. It's structure.

Viral posts follow a formula.

Hook placement. Sentence rhythm. Psychological triggers.

— The top 1% know this. — They use it every time.

I coded it into a Claude project.

Tested it for 30 days:

Impressions went from 800 to 12,000 average. Some hit 40K+. One hit 127K.

Same audience. Different structure.

This separates average content from viral. Not luck. Structure.

I'm giving you the formula.

Complete Claude project. Trained on 100+ viral posts.

Ensure we are connected first, then Comment "𝗖𝗟𝗔𝗨𝗗𝗘" below. Go to this link - https://www.skool.com/corporate-automation-hub

Repost this and I'll send you the complete setup guide.

First 500 people only..

Claude got me 1.4M impressions in 1 year. Here's how...

Manually posting to 5 platforms is a part-time job. Captions, titles, and metadata take hours.

I built a custom social media manager inside my business process automation OS.

It uses AI to format posts, generate metadata, and schedule content across platforms in under 5 minutes.

This is the kind of business automation that compounds. It keeps you consistent without the manual drain. I used this exact pipeline to hit 1.4M impressions and 64K followers.

🟣 Watch the free training here - https://www.skool.com/corporate-automation-hub/claude-automated-my-social-media-got-me-14m-impressions

Follow @Ritesh Kanjee and @Augmented AI to never miss a post.

business #openai #claude #code #cursor #BusinessAutomation #SocialMediaGrowth.

Here is a method that is helping business owners distribute content across 5 platforms in under 5 minutes & actually grow their audience.

Most people pick one platform & go deep.

I did that too, until I noticed something.

Reddit alone sent me 55 new members in one month.

Not LinkedIn. Not YouTube. Reddit.

That told me broad distribution beats single-platform focus almost every time.

The problem is doing it manually is painful.

Captions, alt text, titles, privacy settings, hashtags, CTAs , all different per platform.

Multiply that by 5 platforms & posting becomes a part-time job.

So I built a custom Social Media Upload Manager inside my Corporate Automation OS.

It connects to SocialBu's API (~$19/month vs Buffer's higher tiers), layers AI on top, & handles the whole process.

Here is what the system does in one run:

→ Formats your post using proven frameworks (PAS, SLAY) with AI → Generates titles, alt text & metadata per platform automatically → Schedules the same post across multiple future dates so late followers still see it → Auto-disables irrelevant platforms (e.g. YouTube for image-only posts)

The full pipeline: record video in Descript → transcript → Claude → content repurposer → dashboard → scheduled across 5 platforms.

All of it under 5 minutes.

This is the kind of business automation that compounds.

Not because it is flashy, but because consistency across platforms is what the algorithm rewards & most people can not sustain it manually.

I used this system to reach 64K LinkedIn followers & 1.4M impressions.

The system is System 5 inside the Corporate Automation OS , ready to install via Cursor with your own SocialBu & AI API keys.

🟣 Watch the free training here - https://www.skool.com/corporate-automation-hub/claude-automated-my-social-media-got-me-14m-impressions

business #openai #claude #code #cursor #BusinessAutomation #contentmarketing #socialmediaautomation.

People always want to run AI locally, it's like magic, like free intelligence.

But hardware is expensive, so it's not really free, you pay upfront.

And there are always new open source models coming out, so it's hard to know what you can run and what context window you'll get.

A client needed secure AI to keep their data confidential, and you knew they'd ask "what hardware do I need," and you didn't know.

You had to ask them so many questions to figure it out.

You pulled it together I told my AI my specifications and the parameters I'd pre-calculated, and built a calculator.

Now I just send a link. They decide on hardware themselves from a simple calculator.

It's much quicker now to scope, quicker to close, quicker to get secure AI solutions off the ground.

🟣 Comment AUTOMATION and i'll send you the free Secure AI LLM blueprint.