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Thinking In Public by Alperen Zeki Gokmen

Podkast av Alperen Zeki Gokmen | Substack Newsletter

engelsk

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Les mer Thinking In Public by Alperen Zeki Gokmen

This podcast is the audio version of my Substack newsletter, Thinking In Public. My name is Alperen Zeki Gokmen. Every two weeks, I share what I build, test and learn about AI, automation and startups. Two AI voices talk about my real projects and ideas. You will hear easy tips and stories from my work. Audio Disclaimer: This podcast is made with AI voices. The AI hosts share the main points from my newsletter. Some small details may be different from the written text. For the most complete and correct information, please read the full issue. alperenzekigokmen.substack.com

Alle episoder

23 Episoder

episode Thinking In Public – Issue #23 | Vibe Coding Is Not Hard Because of Prompts cover

Thinking In Public – Issue #23 | Vibe Coding Is Not Hard Because of Prompts

In this issue, I’m looking at vibe coding from a different angle. Not which tool to use, and not how to write the perfect prompt, but what actually matters before you even start building. This one is really about approach. Prompts matter far less than most people think. What matters more is being clear about the problem, staying patient when things break, testing what you build, and knowing how to work through friction without giving up too early. I also get into a common mistake I keep seeing: asking chatbots to write vibe coding prompts for you, then pasting those over-engineered instructions straight into the tool. The bigger point is simple: building is easier now, but good judgment still matters. And in many cases, the best place to start is not by trying to build something to sell, but by building something that saves you time first. Hope you enjoy this one. — Alperen Zeki Gokmen [http://alperenzekigokmen.com/] Audio Disclaimer: This episode is made with AI voices. The AI hosts talk about the main ideas from my newsletter. Some small details may be different from the written text. For the most complete information, please read the full issue. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit alperenzekigokmen.substack.com [https://alperenzekigokmen.substack.com?utm_medium=podcast&utm_campaign=CTA_1]

17. april 2026 - 19 min
episode Thinking In Public – Issue #22 | One Need One Tool The Practical AI Toolbox Map (Part 2) cover

Thinking In Public – Issue #22 | One Need One Tool The Practical AI Toolbox Map (Part 2)

In this issue, I continue the practical AI toolbox map with the second set of 25 needs, each paired with one tool or service that helps you get to a first usable result fast. This part leans more into presentations, research, productivity, sales workflows, and discovery. The point is the same: reduce the tool overload moment. Pick the closest need, pick the tool, then use any chatbot to turn your exact scenario into a simple first test and a short setup plan. If the first output is useful, you keep going. If it is not, you switch early instead of sinking hours. Hope you enjoy this one. Audio Disclaimer: This episode is made with AI voices. The AI hosts talk about the main ideas from my newsletter. Some small details may be different from the written text. For the most complete information, please read the full issue. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit alperenzekigokmen.substack.com [https://alperenzekigokmen.substack.com?utm_medium=podcast&utm_campaign=CTA_1]

11. mars 2026 - 20 min
episode Thinking In Public – Issue #21 | One Need One Tool The Practical AI Toolbox Map (Part 1) cover

Thinking In Public – Issue #21 | One Need One Tool The Practical AI Toolbox Map (Part 1)

In this issue, I share a practical AI toolbox map: 25 real needs, each paired with one tool or service that helps you get to a first usable result fast. The goal is to remove the tool overload moment. You pick the closest need, pick the tool, then use any chatbot to turn your exact scenario into a simple first test and a short setup plan. If the first output is useful, you keep going. If it is not, you switch early instead of sinking hours. Hope you enjoy this one. Audio Disclaimer: This episode is made with AI voices. The AI hosts talk about the main ideas from my newsletter. Some small details may be different from the written text. For the most complete information, please read the full issue. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit alperenzekigokmen.substack.com [https://alperenzekigokmen.substack.com?utm_medium=podcast&utm_campaign=CTA_1]

11. feb. 2026 - 15 min
episode Thinking In Public – Issue #20 | Build Better Dynamic Websites With AI Coding Agents Without Burning Credits cover

Thinking In Public – Issue #20 | Build Better Dynamic Websites With AI Coding Agents Without Burning Credits

In this issue, I share a practical workflow for building dynamic, functional websites with AI coding agents while saving credits and avoiding the UI first trap. It starts with defining the user flow and core features in a chatbot, then using the coding agent to implement one function at a time, so you debug less, ship faster, and end up with something that actually works, not just a nice looking demo. Hope you enjoy this one. Audio Disclaimer: This episode is made with AI voices. The AI hosts talk about the main ideas from my newsletter. Some small details may be different from the written text. For the most complete information, please read the full issue. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit alperenzekigokmen.substack.com [https://alperenzekigokmen.substack.com?utm_medium=podcast&utm_campaign=CTA_1]

14. jan. 2026 - 11 min
episode Thinking In Public – Issue #19 | Build Better Static Websites With AI Coding Agents Without Burning Credits cover

Thinking In Public – Issue #19 | Build Better Static Websites With AI Coding Agents Without Burning Credits

In this issue, I share a practical workflow for building static websites with AI coding agents while saving credits and avoiding generic, template-looking results. It starts with planning in a chatbot, then using the coding agent for implementation, so you iterate less, ship faster, and end up with a cleaner, more distinct design language. Hope you enjoy this one. Audio Disclaimer: This episode is made with AI voices. The AI hosts talk about the main ideas from my newsletter. Some small details may be different from the written text. For the most complete information, please read the full issue. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit alperenzekigokmen.substack.com [https://alperenzekigokmen.substack.com?utm_medium=podcast&utm_campaign=CTA_1]

18. des. 2025 - 12 min
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