9 posts
AP2, signed mandates, its relation to ACP, and agentic commerce in Turkey's BDDK/KVKK context — what e-commerce businesses should do, from the field.
What is sovereign cloud? It is a model that secures data sovereignty and data residency. Regulated sectors, KVKK, and cross-border data transfer for AI architecture in this guide.
A complete compliance playbook for Turkish banks: BDDK's AI Safe Testing and Validation Environment (AI Sandbox) launched February 2026 with ~30 banks and 100 CIOs, KKB's shared testing infrastructure, the EU AI Act's high-risk classification of credit scoring, and real-world use cases in credit scoring, fraud detection, AML and call center — with documented case studies.
Anthropic's Multi-Agent Research system beat single-agent Claude Opus by 90.2% on internal research evals using an orchestrator-worker pattern. This guide covers lead agent + parallel subagent architecture, structured artifact handoffs, planner-generator-evaluator loops, Claude Agent SDK with .claude/agents/, cost caps, deadlock prevention, comparisons with CrewAI/LangGraph/AutoGen, and a Turkish law-firm contract-analysis case.
Launched by Anthropic in November 2024, the Model Context Protocol (MCP) became the 'USB-C of AI' in 2026 — with 5,000+ servers, adoption by OpenAI, Google, Microsoft, and Salesforce, and its own Wikipedia page. This guide covers MCP's three primitives, transport layer, OAuth 2.1, building your own server, security risks, and Turkish-market opportunities for Yargıtay/BIST/KVKK-style MCPs.
An enterprise decision matrix between self-hosted LLM and API: ~500M tokens/day break-even, H100/H200/B200 GPU cost, quantization impact, KVKK + BDDK + ITAR/EAR constraints, AI sovereignty strategy, and three anonymized Turkish sector cases (banking, healthcare, SMB) on hybrid architecture. 2026 reference guide for Turkish enterprises.
A 2026 snapshot of the Turkish open-source LLM ecosystem: Trendyol-LLM, Cosmos-Llama, KanarYa, Kumru AI, the TÜBİTAK BİLGEM domestic model, and the T3 AI Baykar defense model. Detailed decision guide covering MMLU-TR and TUMLU benchmarks, licensing, tokenization gap, VRAM requirements, self-hosting needs, and which model to pick for which use case.
Prompt engineering is dead, context engineering is alive. Anthropic's 90% cost-cutting prompt caching, GPT-5.5's 272K input threshold, Claude Opus 4.7's 1M context, and agent runtime state management are rewriting AI engineering in 2026. Turkish token efficiency, KVKK-compliant state stores, the 'Don't Break the Cache' principle.
Naive RAG's six fatal weaknesses are fully solved in 2026 by agentic RAG. A production-grade RAG with plan/reflect/verify loops, hybrid retrieval, and claim-verification built on the LangGraph v0.4 state-graph used by Klarna, LinkedIn, and Uber — plus a KVKK-compliant Turkish bank case study and cost-latency tradeoffs.