Artificial Intelligence (AI) has become an indispensable part of many aspects of professional and everyday life. It enables tasks to be completed more efficiently, precisely, and quickly. From text creation, data analysis, research, business processes, document search, and coding to the creative design of images and videos.
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Learn how to use AI, create prompts, and understand why this is a game-changer
📖 This article is part of our Google Gemini guide. Read the full guide →
Google has published a guide to better prompts for “Nano Banana,” the image model behind Gemini 2.5 Flash Image. The article focuses on how images can be edited, combined, and stylistically controlled in a targeted manner—with clearer inputs and more control.
Google launches Gemini 3.1 Flash Lite. The fastest and most affordable model in the series offers thinking levels for developers. Test it now in the preview.
Discover IronClaw: The open-source AI agent in Rust with a focus on privacy. With WASM sandbox, local encryption, and self-expanding tools.
Gemini 3.1 Pro is live! With a massive reasoning boost, new agentic features, and SVG support. Try it now in preview via API & Vertex AI.
Create professional audio with Google Lyria 2. 48kHz stereo, real-time generation, and SynthID security. The new music AI powerhouse for developers and creators.
Claude Sonnet 4.6 is here: Beats Opus 4.5, offers 1M token context & a massive ‘computer use’ upgrade. The new standard for AI agents.
Microsoft is expanding its Power Apps with AI capabilities: The new Model Context Protocol (MCP) integration enables developers to embed intelligent agents directly into business applications. This should enable companies to make their workflows significantly more efficient.
📖 This article is part of our comprehensive ChatGPT guide. Read the full guide →
OpenAI releases GPT-5.3 Codex and makes a radical pivot from pure reasoning depth to extreme inference speed and direct terminal integration. The model dominates with 77.3 percent accuracy in CLI tasks and positions itself as an “interactive teammate” that deliberately prioritizes latency and control over the absolute autonomy of its competitors. We classify the specs and the decisive comparison with Claude Opus 4.6. Read our in-depth review of Claude Opus 4.6 — the depth-focused rival.
📖 This article is part of our complete Claude AI guide. Read the full guide → For a detailed comparison, see our review of GPT-5.3 Codex as a speed-focused alternative. Learn more about the broader landscape in our complete guide to AI agents.
Anthropic has released Claude Opus 4.6, a direct response to OpenAI’s dominance, specifically targeting complex “agentic AI” workflows. Instead of focusing purely on speed, the model relies on a context window of one million tokens and “adaptive thinking” to solve deep architectural problems like a senior engineer, rather than just delivering fast boilerplate code. We have summarized the technical data, criticism of high latency, and a direct comparison with GPT-5.3 Codex.
📖 This article is part of our Google Gemini guide. Read the full guide →
With Gemini 3 Flash,Google is introducing what is known as “agentic vision,” whereby the model no longer merely views images statically, but actively examines them using Python code. This new “think-act-observe” loop enables the AI to verify visual details independently, which measurably increases accuracy in benchmarks. We analyze how this architectural change works technically and where the model reaches its limits despite code execution.