How work actually moves
Operations are shaped by processes, handoffs, decisions, and the information people can reach. I write about finding unnecessary friction in that system, deciding what deserves redesign, and measuring whether the change helped.
When Does Process Automation Actually Need AI?
Lead routing, financial disclosures, and bank integrations show where AI adds value—and where rules or conventional software are the better choice.
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How to Do Content Pruning: A Real-World Case Study
How should content pruning decisions use Search Console, GA4, editorial value, and strategic fit? This case study follows a real 39-page audit on my site.
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Integrating One Bank Is Easy. Keeping Forty Running Is Not.
A single bank integration may be straightforward. The real cost is normalising different access models and keeping dozens of connections working as banks change.
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Preserving API Quality in AI-Assisted Development
A short guide to preserving resource models, HTTP behaviour, error handling, authorization, security, and contract decisions in prompts, reviews, and delivery checks when building REST APIs with AI.
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Testing a Button, Treating an Entire Website Redesign as a Sure Thing
Why teams that demand evidence for small changes can become much less skeptical when they replace an entire website: experimentation, migration risk, and the moment a hypothesis becomes a project.
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Managing Technology and Transforming the Business Are Not the Same Thing
Why keeping technology running and using it to transform the business should not be treated as the same responsibility.
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Turkey's First Real-Time Mystery Shopping Reporting Platform
A note on how I built the operational system behind PlusValue's mystery-shopping work, which began as a university final project in 2005.
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Keeping Customers Happy Isn’t Enough. You Have to Follow Up.
A positive customer experience does not automatically turn into a review or recommendation. A small observation about follow-up, timing, and how AI changes the cost of building useful software.
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Do AI Visibility Tools Really Work? What They Actually Measure
Do AI visibility tools really work? They track selected prompt outputs and trends, not real-user brand visibility or commercial impact on their own.
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llms.txt Was Never the Point
A closer look at the AI Visibility hype around llms.txt, the information architecture experiment I built, and the difference between a technical hypothesis and a marketing promise.
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Do You Know How Dependent Your Company Is on AI?
AI is not only accelerating work people already did. It is creating operational capacity companies could never afford to have — and that capacity needs a continuity plan before it becomes structural.
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AI Wasn’t Always This Good. We Just Got Used to It.
AI is rapidly changing team capacity and software economics. That calls for a fair view of the past—and new expectations for today.
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Do You Need a Paid CMP for Google Consent Mode v2?
A developer's investigation of paid, free, open-source and custom CMP options for Google Consent Mode v2 while migrating global sites from WordPress to Next.js.
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Accessing Know-How Is Not the Same as Creating It
Access to global know-how is a real advantage. But there is an important difference between applying ready-made knowledge and creating it yourself.
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AI Visibility Dropped Before Search: The Google Data That Changed My Theory
Google's Generative AI report made me revise my live-fetch theory. The observed lead over search held, but the data does not prove a separate AI index.
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The Hiring AI Makes Invisible
Layoffs are counted. The role a team never opens is not. A CTO and founder's view of how AI can change the hiring decision before it appears in the data.
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ProductLog: The Platform I Built for Myself First
I kept needing a place to document what I was building — not for an algorithm, not for a launch moment, just for the work itself. So I built one.
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From WordPress to Nuxt: Building an AI-Powered Content Pipeline
How I moved from WordPress to a Nuxt and Cloudflare Pages setup, using AI to reduce publishing friction while retaining editorial and technical review.
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The AI Visibility Illusion: What Bing's Citation Share Data Actually Reveals
AI Visibility tools model a selected set of prompts. Bing's first-party Citation Share data gave me a way to compare that model with what I was seeing across the sites I manage.
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1M Impressions per Month, $0 Revenue: A Programmatic SEO Post-Mortem
I reached a million Google Search impressions with more than 10K clicks a month, yet generated zero dollars. Here is the post-mortem of camiler.org.
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Redar: AI-Powered Summaries for KAP Disclosures and Open Sources
Redar is a private decision-support panel for following KAP disclosures and selected open sources without turning dense updates into a public product.
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Cash or Installments? – The Story Behind PeşinTaksit
Why I built PeşinTaksit after a checkout choice exposed the gap between payment labels and the decision they represent.
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What We Learned Building a Healthcare Chatbot for International Patients
A year of running VaniBot taught us why healthcare chatbots depend on human handoff, internal APIs, multichannel integration, and continuous ownership.
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Medical Tourism Lead Management: How We Moved from Manual Routing to a Real-Time Sales System
How we replaced manual routing for roughly 100,000 yearly leads with a real-time medical tourism system built around language, country, shift, and capacity rules.
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What Happened to RankExtension?
I planned RankExtension to make Search Console easier to work with. I did not launch it, but the need behind it is still part of how I work.
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Building camiler.org: A Programmatic SEO Experiment with Google Maps and OpenAI
How I built camiler.org with Diyanet data, Google Maps, OpenAI, Fastify, and Nuxt, and why the automated SEO experiment became a human review workflow.
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