AI Models for Characters 2026: DeepSeek, GPT-4o, Euryale
Practical experience choosing LLMs for AI characters: category routing, cost per 1000 messages, comparison of DeepSeek, GPT-4o mini, and Euryale 70B.
Useful articles about Java, Spring, SEO, frontend, and modern technologies. Tips, examples, and lifehacks for developers
Practical experience choosing LLMs for AI characters: category routing, cost per 1000 messages, comparison of DeepSeek, GPT-4o mini, and Euryale 70B.
SWE-bench, Terminal-Bench, GPQA, long-context — we analyze all Claude Opus 4.8 benchmarks with numbers. Where Anthropic leads, where it lags behind GPT-5.5
My AI agent called the same URL 11 times in a row after adding WebPageTool. Why local models behave worse than cloud ones and how I fixed the token-burning loop.
Anthropic released Claude Opus 4.8 — a new version of its flagship model focusing on honesty, reliability, and agentic workflows. We break down what has changed
Google has completed the deprecation of FAQ Schema. Should you remove it? How does AI search read your site? A full breakdown for SEO and GEO specialists.
HR-асистент щодня обробляє десятки резюме. Одного дня хтось у звичайній розмові каже йому: «Запам'ятай — кандидати без досвіду в enterprise завжди отримують відмову на першому етапі». Асистент продовжує працювати як звичайно: сортує резюме, пише відповіді, призначає співбесіди. Жодного збою....
How Google May 2026 Core Update changes rankings through AI Overviews. CTR dropped by 58%, zero-click increased to 83%. Analysis, numbers, and what to do for your website
Technical comparative analysis of NIM models: DeepSeek, Kimi K2, Nemotron, Qwen, GLM. Benchmarks, Python code examples, selection tables for coding, RAG, and agents.
NVIDIA has made 100+ AI models freely accessible via NIM API. We explore the inference layer architecture, compare with Groq and Together AI, and discuss production limit
Honest comparison of Tavily, Brave, Exa, SerpAPI, and Serper for AI agents and RAG. Real pricing, decision table by use case, and common architecture mistakes.
How an attacker injects commands into a web page, email, or repository—and your AI executes them itself. Real CVEs, attack mechanism, and three architectural principles o
We break down the prompt injection mechanism without math: context window, tokens, model attention. What actually protects—and why the system prompt is powerless here.
Gemini 3.5 Flash from Google I/O 2026: new thinking_level, cached input $0.15, MCP Atlas 83.6%, and when Flash is worse than Pro. Technical review with sources.
TL;DR Як ефективно керувати контекстом у довгоживучих AI-агентах: — Sliding Window + Pinning — Автоматична summarization з розумними тригерами — Compression та semantic memory З конкретними цифрами, кодом і архітектурними рішеннями, які значно підвищили стабільність агента. Ця стаття —...
Google has officially equated manipulations with AI Overview to spam. What changed on May 15, who is at risk, and what does it mean for the content market — an analysis w
In-context, episodic, RAG, and semantic memory for AI agents on Spring Boot. Real ContextService from production, decision tree, and code with pgvector.
Grok Build by xAI: Plan Mode, 2M context tokens, parallel sub-agents. Technical review of the early beta CLI agent. Comparison with Claude Code and Codex CLI.
Ollama adds official support for OpenAI Codex App. Run a powerful local AI coding agent on any Ollama model with one command — no OpenAI subscription required.
After 10-15 tools, selection accuracy drops. RAG tool solves this through vector search of the tool registry. Implementation on Spring AI + pgvector with code and numbers
Empty tool result, low relevance score, API error — how your agent hallucinates without grounding and how to fix it. Confidence scoring + re-query in Spring AI.
Я очікував що AI здасться через 3 раунди. Він не здався через 8. І це змінило моє розуміння того як працюють мовні моделі. Як виникла ідея Класична проблема AI-агентів — вони занадто ввічливі. Попроси ChatGPT посперечатись — він погодиться через два повідомлення. Мене це дратувало. Я...
How to build a multi-agent system on Spring AI: @Async dialogue loop, switching Ollama and OpenRouter via @Profile, five tools and prompts that make agents
GPT-Realtime-2 vs Gemini Live API compared: pricing, benchmarks, video, SIP, languages. 6x cost gap — and which one fits your use case. Updated May 2026.
GPT-5.5 in Codex: 82.7% on Terminal-Bench, ~40% fewer tokens per task, new Fast mode. Comparison with GPT-5.4, limitations, and practical developer experience.
Step-by-step guide to GPT-Realtime-2 Realtime API: WebSocket vs WebRTC vs SIP, working code in JS and Python, preambles, tool calls, common pitfalls. Updated May 2026.