Yogesh Mahajan

Yogesh MahajanSep 3, 2026

I turned Claude into my own AI marketing department. Inside, you’ll get: 50 Marketing Skills 50 Marketing Agents 50 Marketing Systems 100 Marketing Prompts Covering the entire marketing workflow: → Sales & outreach → Content & social media → SEO & organic growth → Paid advertising → Email & lifecycle marketing → Brand & positioning → PR & partnerships → Product launches → Analytics & marketing operations The goal is simple: Less repetitive work. Faster execution. More consistent marketing. Instead of juggling dozens of tools, you can build a complete AI-powered marketing workflow with Claude.

Yogesh MahajanSep 1, 2026

Most startups don’t need another AI tool. They need better system for turning market insight into growth. Too often, the pieces are disconnected: Market research sits in one place. ICP insights live somewhere else. GTM strategy gets rebuilt from scratch. Sales insights rarely make their way back to marketing. That’s why I built the Claude Startup & Scale-Up System. 50 specialist Claude Skills. One connected growth system. → Market intelligence → ICP & customer research → Positioning & offers → Go-to-market strategy → Demand generation → Prospecting & buying intent → Outbound & sales conversations → Pipeline & conversion → Customer growth → Growth strategy & optimisation MARKET → GTM → CUSTOMERS → SCALE Each Skill addresses a specific growth challenge across this journey — from deciding where to play and who to target, to generating demand, improving conversion, retaining customers, and identifying the next growth opportunity. The goal isn’t to replace your team. It’s to transform scattered AI usage into a connected growth system. Better research. Better decisions. Less repetitive work. And most importantly: More time to talk to customers, test ideas, and scale what actually works.

Yogesh MahajanAug 28, 2026

Your business has plenty of data. The problem? Someone still has to sit down and figure out what it means. Open the spreadsheet. Clean the data. Build the charts. Find the unusual spike. Compare it with last week. Then explain everything to management. So I wanted to see: Can we build an AI Agent that works more like a Data Analyst? I built one using: → Python → LangChain → Streamlit → OpenAI API Give the agent a dataset and it can: → Analyse the data → Write and execute code → Detect unusual spikes or drops → Identify patterns worth investigating → Generate charts → Explain what changed in simple language And instead of digging through rows of data, the user gets the important insights through a simple Streamlit dashboard. But here's what matters. The value isn't that AI can make another dashboard. It's that we can move from: Data → Analysis → Insight without someone manually repeating the entire process every time new data arrives. Imagine applying the same thinking to: Sales data → Which leads are suddenly converting better? Marketing data → Why did engagement drop this week? Operations → Where is the bottleneck appearing? Finance → Which numbers suddenly look unusual? Customer support → What complaints are increasing? That’s where AI Agents become much more interesting than simply asking ChatGPT questions. They can be built around actual business workflows. I've built 200+ AI agents and automation systems, and I'll be sharing more of what can actually be built beyond the AI hype. What should I build next, a Sales Agent, Finance Agent, Research Agent or Customer Support Agent? And if you're wondering what kind of AI Agent could make sense for your own business, book a 1:1 call with me.