Articles on AI automation, web development, Next.js, SEO, and scaling e-commerce businesses. 94 articles.
I write about the tools and systems I actually build with — from multi-agent AI pipelines and MCP servers to Next.js full-stack apps, Supabase backends, and SEO automation. Every article comes from a real project: shipping production code, scaling e-commerce stores, or wiring up AI agents that do useful work. If you're a developer, founder, or just curious about how modern web stacks fit together, you'll find practical walkthroughs, honest trade-offs, and working code examples here. Topics span AI and LLM integration, cloud infrastructure (Vercel, AWS, Docker), developer tooling, and the business side of building software products.
LLM Prompt Caching Economics: Measure Before You Buy GPUs
Prompt caching can change cloud-versus-local LLM economics, but only when workloads reuse stable prefixes. Measure before you provision.
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Uygar DuzgunJul 30, 2026
16 min read
AI evaluationLLM benchmarksmodel selection+2
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How to Benchmark AI Models for Real Work
A practical workflow for comparing AI models on real tasks, repeated runs, outcome quality, cost, latency, and production safety.
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Uygar DuzgunJul 30, 2026
16 min read
AIAI AgentsAI Security+2
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AI Agent Sandbox Security: Design for the Whole Trajectory
A source-backed architecture for containing long-running AI agents across network, identity, tools, monitoring, and incident replay.
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Uygar DuzgunJul 29, 2026
18 min read
AIAI EngineeringPrivacy+2
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Machine Unlearning: A Practical AI Data Removal Workflow
A source-backed workflow for deleting AI data across retrieval, model edits, replicas, and audit evidence.
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Uygar DuzgunJul 29, 2026
13 min read
AIEU AI ActAI Governance+3
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EU AI Act Article 50: AI Content Label Checklist
Article 50 requires more than a watermark. Providers must mark synthetic outputs, and deployers may still need visible labels and human-review evidence.
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Uygar DuzgunJul 29, 2026
13 min read
AILLM EvaluationConfidence Calibration+3
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LLM Confidence Score: Calibrate Before You Trust It
An LLM confidence score is not a universal probability. Compare verbal scores, logprobs, and sampling, then calibrate a safe threshold.
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Uygar DuzgunJul 29, 2026
16 min read
AIAI EngineeringSupply Chain Security+2
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AI Bill of Materials: Track What Actually Runs
A practical build-time and runtime inventory for models, datasets, APIs, agent tools, and unresolved dependencies.
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Uygar DuzgunJul 28, 2026
18 min read
AILLM EvaluationMultilingual AI+2
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The LLM Tokenizer Tax: How Language Changes AI Cost and Context
A practical guide to measuring multilingual token costs, context limits, and model tradeoffs.
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Uygar DuzgunJul 28, 2026
14 min read
AIPublishingCreator Economy+2
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AI-Generated Books Are Growing Faster Than Reader Demand
A 14,419-book study finds AI-heavy fiction gaining sales share while revenue per title falls. The causal story is less certain.
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Uygar DuzgunJul 28, 2026
19 min read
AILearningStudy Mode+1
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How to Use AI for Learning Without Outsourcing Your Thinking
Two July studies point to the same practical rule: use AI to explain, question and test your work without letting it replace the attempt.
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Uygar DuzgunJul 28, 2026
17 min read
AILLM InferenceKV Cache+1
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KV Cache Eviction Can Hide LLM Failures in Production
A research-backed test plan for separating cache-induced regressions from hard tasks before a faster inference configuration reaches production.
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Uygar DuzgunJul 26, 2026
12 min read
Cloudflare WorkersBeta WaitlistDouble Opt-In+5
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How We Build Secure Beta Waitlists on Cloudflare
A practical method for production-ready Cloudflare beta waitlists with double opt-in, Turnstile, hashed tokens, SMTP, admin controls, and release gates.
