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@alpernkubra: Delirmeye az kaldı arkadaşlar 😀 #tiktokindia #keşfetteyizzz #tiktokviral #bebek

Alperen Kübra
Alperen Kübra
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Region: TR
Sunday 27 September 2026 18:40:22 GMT
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alpernkubra
Alperen Kübra :
Sultanımızzz😀
2026-09-27 23:10:27
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senaulutass
Sena Ulutaş :
Küçük Hürrem 🫠😂
2026-09-27 20:31:28
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🚨 Stop asking AI to “build me a business” and start giving it a clear role in your team. A clever prompt is a starting point. A useful product needs customers, decisions, testing and execution. 💻🔥 This TechSerks carousel breaks an AI-assisted startup into six core perspectives: product, customer, experience, AI strategy, monetisation and scale. Then it connects them through execution and systems. The goal? Turn scattered ideas into a plan you can actually work through. 🧠⚙️ 📦 PRODUCT: What problem are you solving, and what is the smallest useful version of the solution? Ask AI to help narrow the scope, challenge unnecessary features and draft a first-version brief. Give it constraints, not just ambition. Your first release should answer one need, not try to become ten products at once. 👥 CUSTOMER: Who experiences that problem, what do they use today, and why would they switch? Use AI to prepare interview questions and organise feedback, but speak to real people. An AI-generated customer profile is a hypothesis, not customer validation. Start with evidence before committing to the build. ✨ EXPERIENCE: Think beyond the landing page. How does someone discover the product, sign up, get their first useful result, make changes and return? Map that journey and question every unnecessary step. Ask AI to review the experience from a first-time user's perspective, then test those ideas with actual users. 🤖 AI STRATEGY: Do not add AI just to make the pitch sound impressive. Give it a specific job: helping someone plan, search, summarise or personalise. Define what a good result looks like, where information comes from and when human approval is needed. Build around useful outcomes, not a long list of agents. 💰 MONETISATION: Turn the product into an offer people can understand. What outcome are they paying for? What is included? What does it cost you to deliver? Ask AI to draft different offers and pricing experiments, then test willingness to pay. A polished pricing page is not proof that the business model works. 📈 SCALE: Before chasing more users, ask what would break next. Onboarding? Support? Infrastructure? Answer quality? Build a repeatable loop around acquisition, activation, retention, referrals and learning. Use AI to help analyse feedback and organise improvements while keeping people responsible for the decisions. The VoyagePilot AI travel planner in this carousel is an illustrative concept showing how these perspectives connect. Its example prices, testimonials and dashboard figures are not verified business results. Use the framework to question your own idea, not copy a fictional success story. ✈️🔍 Then bring it into the week: choose a priority, assign an owner, run a small experiment, review what happened and decide what changes next. Keep customer feedback, product decisions and delivery connected. AI can support the work, but you still own the evidence, quality and accountability. ✅ You do not need to pretend AI is your CEO. Give it clear tasks, useful context and a review process. Start with one problem, one audience and one testable offer. Build something useful before building something huge. 🚀 📌 Save this carousel for your next planning session, share it with a founder or builder, and follow TechSerks for practical AI workflows. Which part would you tackle first: product, customers or execution? Comment “STARTUP” and tell me what you are building. 👇 #TechSerks #AIStartup #AIAutomation #StartupStrategy #buildinpublic
🚨 Stop asking AI to “build me a business” and start giving it a clear role in your team. A clever prompt is a starting point. A useful product needs customers, decisions, testing and execution. 💻🔥 This TechSerks carousel breaks an AI-assisted startup into six core perspectives: product, customer, experience, AI strategy, monetisation and scale. Then it connects them through execution and systems. The goal? Turn scattered ideas into a plan you can actually work through. 🧠⚙️ 📦 PRODUCT: What problem are you solving, and what is the smallest useful version of the solution? Ask AI to help narrow the scope, challenge unnecessary features and draft a first-version brief. Give it constraints, not just ambition. Your first release should answer one need, not try to become ten products at once. 👥 CUSTOMER: Who experiences that problem, what do they use today, and why would they switch? Use AI to prepare interview questions and organise feedback, but speak to real people. An AI-generated customer profile is a hypothesis, not customer validation. Start with evidence before committing to the build. ✨ EXPERIENCE: Think beyond the landing page. How does someone discover the product, sign up, get their first useful result, make changes and return? Map that journey and question every unnecessary step. Ask AI to review the experience from a first-time user's perspective, then test those ideas with actual users. 🤖 AI STRATEGY: Do not add AI just to make the pitch sound impressive. Give it a specific job: helping someone plan, search, summarise or personalise. Define what a good result looks like, where information comes from and when human approval is needed. Build around useful outcomes, not a long list of agents. 💰 MONETISATION: Turn the product into an offer people can understand. What outcome are they paying for? What is included? What does it cost you to deliver? Ask AI to draft different offers and pricing experiments, then test willingness to pay. A polished pricing page is not proof that the business model works. 📈 SCALE: Before chasing more users, ask what would break next. Onboarding? Support? Infrastructure? Answer quality? Build a repeatable loop around acquisition, activation, retention, referrals and learning. Use AI to help analyse feedback and organise improvements while keeping people responsible for the decisions. The VoyagePilot AI travel planner in this carousel is an illustrative concept showing how these perspectives connect. Its example prices, testimonials and dashboard figures are not verified business results. Use the framework to question your own idea, not copy a fictional success story. ✈️🔍 Then bring it into the week: choose a priority, assign an owner, run a small experiment, review what happened and decide what changes next. Keep customer feedback, product decisions and delivery connected. AI can support the work, but you still own the evidence, quality and accountability. ✅ You do not need to pretend AI is your CEO. Give it clear tasks, useful context and a review process. Start with one problem, one audience and one testable offer. Build something useful before building something huge. 🚀 📌 Save this carousel for your next planning session, share it with a founder or builder, and follow TechSerks for practical AI workflows. Which part would you tackle first: product, customers or execution? Comment “STARTUP” and tell me what you are building. 👇 #TechSerks #AIStartup #AIAutomation #StartupStrategy #buildinpublic
وزیراعلیٰ مریم نواز کی ہر ضلع میں پی ایچ اے قائم کرنے کی منظوری! #ExpressNews #BreakingNews #LatestNews #PHA #Punjab #CMMaryamNawaz
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