18 posts
The August 2026 frontier landscape: neck-and-neck on SWE-bench Verified, separation on SWE-bench Pro. Which model for which job, benchmark literacy, and the Turkish-performance criterion.
There's no single best model. A field guide to the August 2026 landscape, the benchmark trap, and a framework for choosing the right model for your work.
July 2026 packed five major models into two weeks. Model selection by use case, a comparison table, and an enterprise framework centered on KVKK and the EU AI Act.
There is no single best model in 2026: how to match GPT-5.6, Claude Opus 4.8, Fable 5, Gemini 3.1 and open models to the job, plus routing and KVKK guidance.
The July 2026 LLM API price table, a TCO framework, and cost-cutting levers. Why cheapest isn't always right, plus the KVKK/data-residency dimension.
GPT-5.6 vs Claude Opus 4.8 vs Gemini 3.1 Pro: code, agentic tasks, price, context, and Turkish performance. A guide to choosing the model that fits your job, not the smartest one.
In July 2026 three frontier labs shipped models at once. I compare GPT-5.6, Claude Fable 5, Gemini Deep Think and Grok 4.5 from the field.
Claude Opus 4.8, GPT-5, Gemini 3, Grok 4... In July 2026 there is no 'best model,' only the right one. An enterprise selection framework by task, budget, and KVKK.
Frontier models as of July 2026: benchmarks, price/performance and an enterprise selection guide. Which model for which job? Practical field notes.
Claude Sonnet 5, Gemini 3.5 Flash, GPT-5.6 and open-weight models. A use-case model-selection framework with a cost/latency table.
What is Claude? Claude is an AI assistant built by Anthropic on top of a large language model. This guide: a clear definition, how Claude works, its model families, use cases, a comparison with ChatGPT, the safe-AI approach, data protection, and FAQs.
What is an LLM? How do Large Language Models (LLMs) work, what does Transformer architecture solve, what are tokens, embeddings, and context windows, and how do GPT-5, Claude Opus 4.7, Gemini 3, and Llama 4 compare? A comprehensive 2026 reference covering Turkish LLM performance, training stages, hallucination control, and cost modeling.
We benchmarked GPT-5.5, Claude Opus 4.7 and Gemini 3.1 Pro on Turkish workloads end to end: TR-MMLU and TUMLU benchmark numbers, a 50-prompt real-world test across legal, finance, code, creative writing and Q&A, an A/B in a Turkish enterprise, TL-based cost analysis and a decision matrix for picking the right model for each Turkish task. 35+ references.
Detailed comparison of 15 real ChatGPT rivals: Claude, Gemini, Perplexity, Copilot, Mistral Le Chat, DeepSeek, Qwen, Pi, Grok, You.com, Poe, HuggingChat, Meta AI, Character.AI, Jasper. Model, price, strengths, weaknesses, KVKK status, Turkish fluency, and an 8-scenario selection guide.
An end-to-end comparison of the 2026 versions of OpenAI ChatGPT, Anthropic Claude, and Google Gemini. Twelve comparison tables across model families, pricing, Turkish fluency, code generation, long context, multimodal capabilities, voice, video, computer use, custom assistants, agent/MCP support, data privacy, and KVKK compliance. Use-case-based decision matrix for Turkish individual users and enterprise buyers.
A comprehensive Turkish guide to using Anthropic's Claude AI from beginner to advanced. Covers the 1M-context Claude Opus 4.7, Projects, Artifacts, Computer Use, Claude Code, Constitutional AI, MCP integration, plan comparison, and KVKK-compliant strategy for Turkish enterprises in 2026.
A comprehensive Turkish guide that takes prompt engineering from zero to advanced. Covers the 6 components of a prompt, 14 core techniques (zero-shot, few-shot, CoT, ToT, ReAct, self-consistency, meta-prompting), Turkish-specific notes, 20+ ready templates, model-specific differences (GPT-5, Claude Opus 4.7, Gemini 3), prompt injection defenses, DSPy-based automatic optimization, and A/B testing.
A comprehensive reference for designing, scaling, and shipping Retrieval-Augmented Generation (RAG) systems in production with KVKK compliance. Covers Turkish-capable embedding model selection, vector DB comparison, chunking, hybrid search, re-ranking, hallucination control, eval harness, and three anonymized Turkish enterprise case studies — end-to-end production architecture.