2026-09-11
Can a Junior Who Uses AI Well Outperform a Senior Expert?
Can less experienced workers close the seniority gap with AI? I examine AI fluency, workflow design, and when experience still creates real value.
Read →8 min
Business-first AI transformation
I've engineered software for 25+ years. Now I'm testing firsthand how AI is changing that experience and writing about what is actually changing in practice.
I write about how businesses can use AI, software, data, and process redesign to create measurable value — starting with the business problem, not the technology.
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Essays
2026-09-11
Protect Organizational Memory During an AI Transformation
Why experience, organizational memory, and employee trust need protecting when an AI-led restructuring changes how a company works.
Read →7 min
2026-09-10
Bringing English Back Into My Working Day
A change of job and everyday AI use left me practising less English. I am bringing it back through the real work I already do with AI.
Read →4 min
2026-09-10
Getting Your Brand Recommended by AI Is the Wrong Goal. What Is the Right One?
Don't chase Reddit, search, or press visibility just to be recommended by AI. Separate genuine usefulness, platform fit, and technical SEO from attempts to manipulate metrics.
Read →7 min
2026-09-09
What to Test Before Investing in a Voice Agent
Before investing in a voice agent, test whether the audience will engage by phone, whether the conversation completes useful work, and whether the result justifies the full cost.
Read →7 min
2026-09-09
If AI Handles the Execution, Who Sets the Strategy?
If AI reduces the specialist hours behind agency execution, what remains? An analysis of strategic capability, staffing, and accountability for outcomes.
Read →9 min
2026-09-08
When AI Changes Work, Training Employees Is Not Enough
How should companies prepare employees when AI changes their work? I examine training, role design, and internal transitions together.
Read →11 min
2026-09-07
How Much Does the EU AI Act Affect Companies Outside the EU?
When the EU AI Act can cover companies outside the EU, how legal scope differs from practical enforcement, and why the EU connection matters.
Read →11 min
2026-09-07
Would We Still Buy This Backlink If It Sent No Ranking Signal?
What should you ask when an agency asks you to spend money on backlinks? The possible effects of paid links, Google's position, and a strategy for earning links organically.
Read →11 min
2026-09-06
AI's Value Is Not Always More Work
Time saved with AI does not always need to become more output. Quality, lower overload, and management visibility are also real business value.
Read →8 min
2026-09-06
Writing with AI Means Thinking About Your Archive, Too
What Casey Newton’s LLM wiki reveals about using AI to connect new articles with an existing archive, research notes, and editorial decisions.
Read →6 min
2026-09-05
AI in Healthcare: The Difference Between Chatbots, Triage, and Medical Devices
When is a healthcare chatbot an administrative tool, a high-risk triage system, or a medical device? A practical guide to the EU AI Act, medical-device rules, and data protection.
Read →12 min
2026-09-05
EU AI Act: What Should You Do Once You Know the Risk Level?
Risk classification is only the beginning under the EU AI Act. Company role, purpose, data flows, transparency, and other laws still need separate assessment.
Read →11 min
2026-09-05
What Happens When Chatbot Data Is Sent to a Third-Party AI Provider?
What GDPR and Türkiye's KVKK require when chatbot conversations are sent to OpenAI, Anthropic, Gemini, or another third-party model provider.
Read →12 min
2026-09-04
Open Publishing and an AI-Assisted Monthly SEO Reporting Experiment
Why I publish my publishing data, how an AI-assisted monthly report connects traffic, search, and publishing evidence, and why editorial responsibility still stays with me.
Read →10 min
2026-09-04
What Makes an LLM Recommend Someone as an Expert?
LLMs and AI search systems do not measure expertise directly. They infer it from visible online evidence. This article examines the gap between visibility, repetition, and tested expertise.
Read →12 min
2026-09-04
How Can Companies Create Value From AI?
When does using AI become business value? I examine the links between model capability, completed work, operating capability, and measurable results.
Read →11 min
2026-09-03
What Makes an AI System Specific to Your Business?
A company-specific AI system is more than a model trained on company data. The real difference often lives in data, rules, tools, permissions, and measurement.
Read →8 min
2026-09-03
What Is the EU AI Act, and What Does It Regulate?
The EU AI Act explained: who it covers, prohibited practices, high-risk systems, transparency duties, application dates, and penalty ceilings.
Read →17 min
2026-09-02
How Should You Route Requests Across Multiple AI Models?
When an AI system uses several models, should requests be assigned by explicit rules, predictive routing, cascades, or fallback paths?
Read →9 min
2026-09-02
With AI, a Refactor I Wouldn't Bother With Took One Hour
PeşinTaksit was a neglected side project that still required four containers. With AI, I moved it to Cloudflare Workers in about an hour.
Read →4 min
2026-09-01
When Is One AI Model Enough?
When should an AI system begin with one model, and what improvement in quality, cost, speed, or risk would justify adding another?
Read →8 min
2026-09-01
From Asking Questions to Delegating Work: What the Codex Study Shows
OpenAI's Codex research shows how AI use is shifting from questions to delegated work—and what companies should measure before calling it value.
Read →11 min
2026-08-31
Who Captures the Productivity Gains from AI?
AI can make employees and service providers more productive without leaving them with the economic gain. An analysis through salaries, hourly billing, and competition.
Read →12 min
2026-08-31
Is Your Data Ready for AI? Start With the Decision It Must Support
Whether data is sufficient depends on the decision it must support, how current it needs to be, and how the outcome can be verified.
Read →5 min
2026-08-31
Is Your AI System Actually Delivering Business Results?
A good model response, a completed task, and a measurable business result are three different outcomes. Here is how to evaluate each one.
Read →7 min
2026-08-30
How Much Authority Should You Give an AI System?
When should an AI system prepare a recommendation, and when should it be allowed to execute a real transaction? A practical boundary for authority, approval, and verification.
Read →7 min
2026-08-29
When Does Enterprise AI Actually Need RAG?
When should enterprise AI use RAG, direct context, a database query, or an API? A practical way to choose the right source for each question.
Read →6 min
2026-08-29
Why Sales and Other Departments Keep Clashing
Why do Sales and the teams responsible for leads, pricing, data, and process experience the same company so differently? A field note spanning CRM queues and dealer visits.
Read →17 min
2026-08-28
When Do You Actually Need an AI Agent?
Customer support, lead routing, REDAR, and incident diagnosis show the practical difference between software-defined workflows and AI agents.
Read →6 min
2026-08-28
Does Enterprise AI Really Need Fine-Tuning?
When is providing a document enough, when does RAG help, and when does fine-tuning actually make sense? The decision starts with information, rules, and patterns.
Read →7 min
2026-08-28
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.
Read →5 min
2026-08-27
Start With the Business Problem, Not the AI Model
Why model selection should not be the first decision in an AI project, and what must be defined about the business outcome, action boundary, and evidence first.
Read →5 min
2026-08-27
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.
Read →13 min
2026-08-27
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.
Read →8 min
2026-08-27
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.
Read →8 min
2026-08-25
Testing a Button, Treating an Entire Website Redesign as a Sure Thing
Why website redesigns should separate design, CMS, URL, content, form, and measurement changes, and how progressive redesign reduces migration risk.
Read →8 min
2026-08-24
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.
Read →5 min
2026-08-24
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.
Read →6 min
2026-08-24
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.
Read →7 min
2026-08-23
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.
Read →10 min
2026-08-23
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.
Read →8 min
2026-08-22
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.
Read →11 min
2026-08-20
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.
Read →5 min
2026-08-18
AI Made Code Cheap. Verification Is Still Expensive.
AI can produce an implementation in hours. If its author cannot explain the decisions behind it, the real engineering work has not disappeared — it has moved to the reviewer.
Read →6 min
2026-08-15
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.
Read →5 min
2026-06-28
The Threshold Collapsed: What ProductLog Taught Me About Building in Public
I built ProductLog so founders can record their work as it progresses. The platform is live, and it remains a meaningful part of my work. But its premise also creates a tension: a well-kept public record makes a product’s story easier to follow and understand than scattered blog posts do. When AI can gather and process those records more quickly, that same clarity may become a useful shortcut for competitors.
Read →4 min
2026-06-28
Build in Public in the AI Era: What to Share and What to Keep Private
Building in public does not require choosing between silence and publishing an operating manual for your competitors. The useful question is narrower: for each thing you could share, will the feedback, trust, or connection it creates be worth the risk of making it public?
Read →5 min
2026-06-28
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.
Read →7 min
2026-06-27
The Era of the "Previous Vibe Coder" Begins: The Invisibility of Clean Code and the Technical Debt Bill of AI
An analysis of the false speed illusion of AI coding, DRY violations, the devaluation of invisible quality using Akerlof's Market for Lemons, and the upcoming crisis of the 'Previous Vibe Coder'.
Read →9 min
2026-06-26
One Victory, Several Defeats
After six years of not smoking, a single 'one time won't hurt' got me started again. I didn't fall apart — I just prioritized everything over myself. A raw confession.
Read →3 min
2026-06-25
AI Is Reducing Hiring Without Layoffs
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.
Read →9 min
2026-06-23
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.
Read →2 min
2026-06-23
Comprehension Debt: The Bill Comes Due Alone
I ship with AI coding agents daily. The hidden risk is the gap between what the system can do and what I can still explain, debug, and safely change.
Read →9 min
2026-06-22
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.
Read →4 min
2026-06-22
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.
Read →9 min
2026-06-21
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.
Read →4 min
2025-11-20
The End of Coding or a New Renaissance? The Invisible Crisis of AI
AI may reduce the routine work through which junior developers learned. The more consequential question is how organisations will preserve practice, feedback, and the path to senior capability.
Read →6 min
2025-11-14
Raising Children in the Age of Artificial Intelligence
On social media I usually share technical or work-related topics. But behind that image is also a dad with a 9-year-old son.
Read →10 min
2025-10-30
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.
Read →3 min
2025-10-30
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.
Read →4 min
2025-07-13
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.
Read →5 min
2025-07-02
Why I Run camiler.org on a Single VPS
How I use Docker, Redis, and Cloudflare to run camiler.org on one small VPS, what problems it solves, and which risks I still own.
Read →6 min
2025-06-26
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.
Read →8 min
2025-06-05
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.
Read →4 min
2025-06-05
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.
Read →6 min