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Models, agents and tools: what AI can already do in practice, what it costs and where it still fails.
On October 12, 2026 Anthropic described how it protects Claude’s reasoning from copying: signed blocks, account binding and a classifier. The figures are the company’s …
AI aggregators are not automatically cheaper than direct subscriptions. They are useful when you need one interface, Russian payment methods and quick access to many models. As of …
A practical guide to running a private multi-agent workflow on your own machine. The article explains when a local swarm makes sense, how Ollama and LangGraph fit together, and …
The EU AI Act does not hit every company in the same way on 2 August 2026. Most of the Act is scheduled to apply then, but some high-risk obligations are being reshaped by a May …
We compare three leading real-time voice AI stacks for business: OpenAI Realtime API, Hume AI EVI, and ElevenLabs Conversational AI. The guide covers latency, emotional range, …
An aggregator saves the switching between services but adds an intermediary. The trade-offs: tokens, model versions, limitations and cases where a separate subscription is simpler.
A good prompt is a short technical brief: task, context, format, constraints and quality criteria. Examples show how to adapt it to different model types.
A neural network is useful as an editor’s assistant: it gathers ideas and drafts. Autopilot without editing produces samey posts and factual errors. A process that does not …
Generative models produce ten visual variants in an hour, but you should test hypotheses, not pictures. The process, the limits of the models and the legal points.
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