How to boost your personal brand with AI

It's been almost 1 year since I stepped into AI servicing, and my key takeaways from this journey are👇🏻 1. Build infrastructures, not workflows – Clients pay premium for systems that adapt and scale, not one-off automations. 2. Content is your best salesperson – 50K followers later, inbound leads became the norm, not cold outreach. 3. Community beats competition – Mentorship sessions and cohorts built more trust than any sales pitch ever could. 4. Speed matters – Shipping fast beats perfecting slowly every single time. 5. Learn daily – 1 hour of exploring new AI tools keeps you ahead of 99% of agencies. One year in, and LanceMart AI went from selling automations to building Agentic AI ecosystems, launching one of the biggest AI cohort program, and working on a game-changing SaaS (Shhhh) The best year is always the one you're building right now. Year 2 is going to be even crazier. ♻️ Repost #ai #business #aiagency

Two months at Cuebo.ai And i had a steep learning curve to understand AI role-play and Go-To-Market strategies. Here are five tactics that helped me, and you can use them too. I joined Cuebo.ai two months ago to help with AI automation and shape our Go-To-Market playbook. During this time, I learned a lot, especially about driving consistent messaging, scaling outbound and inbound traffic, training teams, and building smarter workflows. Here are some practical takeaways you can apply in your role. 1. Clarify the task, then ask questions.   Write down what you’ve been given. Take some time to understand it, then move to the next step. If something is unclear, ask. This saves rework and keeps everyone on the same page. 2. Outbound outreach tools and smart messaging.   Use tools like Dripify or Lemlist for bulk messaging. They work well for scaling outreach. Then, craft messages with more context:   • Know the company you’re writing to (e.g., a mobile industry rep)   • Understand their business and what’s changing for them now   • Show how you can help solve a pain point   • End with a clear call to action: what next step do you want them to take?   Also, post when your target audience is most active. 3. Team handling and agency coordination.   Create a clear timeline and ensure everyone is aligned. If you’re hiring an agency, brief them properly: explain what the company does, what you expect, and outline milestones and deliverables. 4. Always look ahead. Automate, iterate, improve.   The next thing always needs your attention. Research new technologies and smarter workflows. Build faster, more consistent, and more automated processes. Automation equals scale. 5. Regular feedback and growth mindset.   Weekly, bi-weekly, or monthly check-ins with whoever you report to are crucial. Understand where you stand, what needs improvement, and seek to grow.   Remember, don’t get discouraged by past results. Fail fast, learn faster, and keep moving forward. My time at Cuebo.ai has been all about rapid growth and learning. I’m excited for what’s next, and I’d love to hear from you:   What outreach tactics or team processes have worked for you lately? Happy to hear from you all.

🚨 BREAKING NEWS FOR CREATORS & FOUNDERS OpenAI’s Atlas just dropped—and it’s changing the game faster than anyone expected. I’ve spent the last 72 hours building something insane for those who want to grow fast. Here’s what’s happening: → Marketing teams cutting campaign planning from 3 weeks to 6 hours → Sales reps qualifying leads in 90 seconds → Finance teams finishing board decks in 10 minutes → Product teams tracking competitors daily instead of quarterly The secret? They’re not just using Atlas… they’ve systematized it. They’ve built repeatable workflows that make entire businesses run on AI speed. So I pulled everything together into The Complete Atlas Business Playbook — 273 pages, 31,000+ words, 50 workflows. What’s inside 👇 ✅ 1.Competitor funnel breakdowns ✅ 2.Prospect research automations ✅ 3. Financial modeling prompts ✅ 4.Churn prediction systems ✅ 5.Executive deck builders This isn’t “AI tips and tricks.” It’s the operational blueprint for scaling at AI speed. And I’m giving it away completely free — but only for action takers. Here’s how to get it: 1️⃣ A. Comment ATLAS below 2️⃣ B. Like this post 3️⃣ C. Connect with me so I can DM you the full playbook https://lnkd.in/g4_-wBX7 Speed is your new unfair advantage. Your competitors are already moving — don’t get left behind. ♻️ Repost to help your network catch up. #OpenAIAtlas #ChatGPTAtlas #ArtificialIntelligence #AIProductivity #AIAutomation #BusinessGrowth #DigitalTransformation #WorkSmarter #FutureOfWork #AIWorkflow #AIBusiness #MarketingAutomation #SalesAutomation #StartupGrowth #Entrepreneurship #Innovation #TechTrends #ProductivityTools #AIPowered #ScalingWithAI #LinkedInGrowth #BusinessStrategy #AITools #AIRevolution #AtlasPlaybook #india

Just watched an excellent webinar with Isar Meitis and Pietro Montaldo: AI Builder’s Playbook — Turn Your Idea Into a Working Solution in a Few Hours. Huge thanks—super insightful. The reminder I needed: great ideas are cheap. Great execution is where the magic happens. My takeaways from Pietro’s framework: Pick winners early. Validate impact and feasibility before you touch a tool. Tool–use case fit. Choose the stack after you define the problem and constraints. Ship micro-apps fast. Prototype → test → iterate. No code required, just a clear flow. Turn builds into demand. Productize your process and share outcomes to attract real opportunities. Why follow Pietro and Isar? Pietro is the founder of N-Force, he practices what he preaches—went from a few hundred to 10K+ engaged followers in 90 days by sharing the exact tools and workflows he builds. Clear, actionable, and refreshingly practical. Isar brings a sharp operator’s lens: he asks the questions that translate vision into go-to-market reality. Expect crisp frameworks, real examples, and practical prompts you can use the same day—especially if you’re turning AI ideas into measurable business outcomes. If you’re a business leader sitting on AI ideas, this playbook is a push to stop theorizing and start shipping. #AI #NoCode #Productivity #Prototyping #Marketing #Automation #BuildersNotTalkers

I'll admit it. For a while, I was a "Tool Chaser." Jumping from one shiny AI app to the next. Feeling busy, but not actually getting anywhere. Just... motion. No clarity. It’s a special, frustrating kind of professional anxiety. And I see most marketers stuck in one of three buckets right now. Let's break it down. 1. The Legacy Executor ‣ Low AI adoption, low strategic depth. ‣ Still optimizing ads like it's 2019. ‣ Stuck in their channel silo. ‣ This is, uncomfortably, the most automatable quadrant. 2. The Tool Chaser ‣ High AI usage, low strategy. ‣ Running on prompt fatigue. (This was me.) ‣ All motion, no framework. All tactics, no leverage. 3. The Strategic Integrator ‣ High AI fluency, high strategic focus. ‣ This is the goal. ‣ They don't just use AI. ‣ They build thinking systems with it. ‣ They use it to reduce chaos, codify insights, and enable faster (and better) outcomes. ‣ That's where the real leverage lives. Moving from Tool Chaser to Strategic Integrator is a steep, jarring climb. It's a total rewiring of your brain. I’ve had to force myself to stop "doing tasks" and start "designing systems." Here’s what’s been working. 1. Shift from Tasks → Systems ❌ Don't just ask AI to “write copy.” ✅ Build a prompt system that reflects your exact brand voice, audience segment, and product value. Then templatize it so your team can use it repeatedly. 2. Own a Point of View ❌ Don't ask AI “what works on LinkedIn?” ✅ Define your own IP. Create your GTM belief system. Frame your CX model. That’s what lets AI amplify your expertise, not just regurgitate trends. 3. Codify Everything ❌ Don't just finish a successful campaign and move on. ✅ Turn it into a system: A decision tree. A content brief template. A measurement checklist. Turn your wins into teachable, scalable assets. AI won’t make marketers irrelevant. Shallow thinking will. The next 3 years will define whether you stay valuable or become replaceable. Be honest: which quadrant are you in right now? Thoughts? 👇 #AI #MarketingLeadership #StrategicThinking #SystemsDesign

The AI Gold Rush Feels Familiar I keep seeing the same storm, just wearing a different badge. In SaaS, it was dashboards and ARR graphs. Now it’s AI copilots and lead bots that are louder, faster, and equally confused. We call it progress. It feels more like déjà vu. Everyone’s building something: GTM copilots, SDR agents, pricing assistants. ❌Half the tools solve the same problem. ❌ The other half are the problem. You can almost feel the noise. Founders racing to launch before thinking. Boards confusing velocity with direction. The question nobody asks: What are we actually commercialising technology or hope? A few things I keep watching quietly: ✅Models that learn faster than finance can track them. ✅ Usage curves climbing while margins slide. ✅ Founders celebrating “adoption” without revenue math. ✅ Teams calling curiosity traction. ✨#SaaS taught me one rule that still holds: growth without governance is just drift with better PR. And AI will test that harder than anything we’ve built before. For context I’ve lived both systems. SaaS rewarded retention. AI punishes volatility. They look similar from the outside. They behave like different species once you price them. I treat them differently because the economics demand it. So before launching another “AI for sales” tool, pause and ask: ..Do we know the unit cost of curiosity? ..Is our forecast built on usage or billing? ..What happens when the hype cycle resets and only data discipline remains? That’s not cynicism. That’s survival. #AI #GTM #Revenue #technology #marketing #innovation #saas #sales #sdr #CEO #CRO #grok PS: This video was generated using the amazing Grok imagine

🚀 Demo of my AI-powered micro SaaS for social media management (MVP stage)! In this quick Loom, I show how it works: 1️⃣ Dashboard & Analytics – Track performance with charts, bar graphs, and AI-driven insights. 2️⃣ Tasks Page & Kanban Board – Organize and manage content efficiently. 3️⃣ Calendar & Scheduling – Plan, create, and schedule posts directly to Facebook (coming soon: YouTube & Instagram) with AI suggestions. This is just the MVP, and I’m iterating to expand its capabilities and streamline posting across multiple platforms. 💡 Building this has been an amazing way to sharpen skills in full-stack development, AI integration, and product design. Excited to see it evolve! #MVP #MicroSaaS #AI #SocialMediaManagement #FullStackDevelopment #ProductDesign #Innovation

Too many founders get stuck staring at AI tools like they’re choosing a new phone—missing the point entirely. Picking AI isn’t about flashy features or the latest buzz. It’s about what actually fits your business right now, no technical magic required. Here’s what I’ve learned building AI automations hands-on for busy founders overwhelmed by endless options: 1. Focus on your specific problem, not the tool. Don’t get distracted by AI hype or tool popularity. Identify the repetitive task or bottleneck you want to solve first. Knowing exactly what needs to improve simplifies the choices drastically. 2. Look for AI tools that play well with what you already use. Integration matters more than flashy standalone features. If your AI can’t talk easily to your CRM, messaging, or data sources, it’ll just add friction, not solve anything. 3. Prioritize ease of use over complexity. If it requires a PhD or weeks of training, it’s not a fit for most small teams. Aim for AI tools with solid templates, simple interfaces, and straightforward setup. Your time is way better spent on tweaking automations than wrestling with code. 4. Use trial periods fully. Don’t just click “install” and forget it. Test the tool in real work scenarios, get feedback from users, and see what’s actually saving time or reducing errors. If it doesn’t deliver quick wins or clear improvements in the first 2-3 weeks, cut your losses. 5. Build your confidence by starting small. You don’t need to automate everything at once. Pick one focused use case, prove ROI with clear metrics, then scale. This stepwise approach keeps overwhelm at bay and shows you what success really looks like with each tool. I realize founders want AI picks to feel like a science, but it’s mostly about business clarity and practical fit, not technical prowess. You don’t need to be an AI expert to make confident tool choices—just clear on your pain points and realistic about what the tool can do for you today. Choose your AI like you choose an employee: who solves the problem, fits the culture, and grows with you. That’s how you win without the headache. #AIToolSelection #FounderAdvice #AutomationWins #PracticalAI #BusinessGrowth

The "paradox of precision" is breaking most AI projects right now. Everyone agrees: the more precise your prompt, the better the output. Sounds simple, right? But here's what we're seeing at Stoked that I dont see anyone else talking about: Your solution space determines everything. Think of it like this: you give AI a problem. What kind of solutions are acceptable? → Wide solution space = AI generates tons of variations (most acceptable, you pick and iterate) → Narrow solution space = fewer options, but higher precision needed upfront Example 1: Wide solution space "Help us design a new digital product strategy for an energy company." The AI will give you 20 variations. You pick, refine, iterate. Low cost of being wrong. Example 2: Narrow solution space "Design the exact onboarding flow for our compliance-heavy SaaS product. The core users are...." Much narrower constraints. Higher cost of getting it wrong. Here's where it gets interesting: The cost of being wrong scales with your investment. A bad marketing strategy after months of work? That's expensive to unwind. A bad game idea for your team? Who cares? Move on. So the real skill isn't just "write better prompts." It's knowing when to define constraints BEFORE you feed it to AI. If you don't define the solution space clearly - your security constraints, business goals, competition, brand guidelines - AI will guess. And it will probably guess wrong. With AI, it's the reverse of traditional work: Give it just the big vision → it makes up too much Give it the vision AND the constraints → it explores within useful boundaries The paradox: precision matters most when the output has a narrow solution space. At Stoked, we don't see AI as a limitation. It redefines how we help clients. When the output has a narrow solution space, we define constraints upfront. When it's wide, we let AI explore and we refine together. The model hasn't changed the need for strategy. It's made it more critical. What's your experience? Are you defining the solution space before prompting, or iterating after? Let's chat in the comments. #AIStrategy #ProductStrategy #DigitalProducts #SaaS #AIinBusiness #ProductDevelopment #DigitalTransformation #TechLeadership

3 Ways Founders Use AI to Save Months When Building MVPs Building an MVP used to take months of planning, coding, and testing. Now, with AI - smart founders are shipping faster than ever. Here’s how 👇 1️⃣ AI for Idea Validation - Use GPT-based tools to analyze market gaps, customer reviews, and competitors before you write a single line of code. Validate demand in days, not weeks. 2️⃣ AI-Assisted Code Generation - With GitHub Copilot or Claude, you can build prototypes 3–5× faster. AI helps structure APIs, generate CRUD logic, and even suggest architecture patterns. 3️⃣ AI-Driven Workflow Automation - Integrate tools like Make or Zapier to connect your CRM, analytics, and communication channels - so your MVP runs smoothly from day one. ⚙️ The goal isn’t to replace developers - it’s to give founders the speed to test, learn, and scale. 💬 If you’re planning to launch your MVP this year - let’s connect. I can show you how AI can cut your development time in half. #AI #MVP #SaaS #StartupGrowth #Automation