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Гайды и статьи об ИИ-агентах по нишам: внедрение, сравнения и лучшие практики. Полные тексты статей доступны на английском — мы переводим избранные материалы по мере роста аудитории.
Your AI agent aced the demo and then quietly broke in week three. This is the field guide to AI agent reliability: why non-determinism makes agents fundamentally different from ordinary software, the compounding-error math that turns a 95%-reliable step into a coin-flip over a long task, the six ways agents actually fail, why your normal test suite can't catch any of it, and the reliability-engineering playbook — constrain, verify, contain, observe, recover — for shipping agents you can trust in production.
09.09.2026
An AI agent sent the email, moved the money, or deleted the record — and now something is wrong. Who is responsible? This is the field guide to AI agent accountability: why autonomy breaks the chain of responsibility, the four things every accountable agent needs (an audit trail, provable identity, a named human owner, and non-repudiation), how liability actually lands under the EU AI Act, and a practical playbook for making your agents answerable before regulators or a court ask you to.
26.08.2026
Your employees have already built AI agents you don't know about — wired into your CRM, your inbox, your codebase, holding standing credentials nobody can revoke. This is the field guide to shadow AI agents: why 2026 made them unavoidable, why they're more dangerous than shadow SaaS ever was, how to find the ones you already have, and the sanction-don't-ban governance model that actually works.
19.08.2026
"Agentic AI" is the label of the year, and most products wearing it aren't agents. This is the buyer's field guide to agent washing — why vendors do it, the six tells that expose a repackaged chatbot or RPA script, the levels-of-autonomy rubric to score any product against, and the ten questions that make a sales engineer stop bluffing.
12.08.2026
LangGraph, CrewAI, OpenAI Agents SDK, Google ADK and Microsoft Agent Framework compared on execution model, lock-in, durability and deployment.
05.08.2026
As agents move from drafting to acting, the real question isn't 'autonomous or not' — it's where a human sits relative to the loop. Here's the 2026 working picture: the three oversight postures, a decision framework for which actions need approval, where to place the checkpoint, the framework primitives that implement it (LangGraph interrupts, agent-SDK approvals), the failure modes (automation bias, rubber-stamping, alert fatigue), and what EU AI Act Article 14 actually requires.
29.07.2026
An AI agent that takes actions needs an identity — and giving it one is now the hardest unsolved problem in agent security. Here's the 2026 working picture: why impersonation breaks accountability, how OAuth token exchange and workload identity fix it, and the standards (OpenID, IETF, MCP, A2A) and platforms (Entra Agent ID, Okta, Auth0) you can build on today.
22.07.2026
MCP is now the default way agents connect to tools — and 2025-26 turned it into a proven attack surface. Tool poisoning, prompt injection through MCP responses, over-broad OAuth scopes, malicious server supply chain. Here's the working picture with cited incidents and a defense stack you can actually deploy.
15.07.2026
OpenAI o-series, DeepSeek R1, Claude extended thinking, and Gemini thinking rewrote the agent playbook — but running everything on a reasoning model burns 5-30x the tokens for tasks that don't need it. Here's the 2026 landscape, the routing rules that survive production, and the failure modes to watch.
15.07.2026
Prompt injection is OWASP's #1 LLM risk for a reason — the model can't tell instructions from data. Here's the 2026 threat model, the direct/indirect/tool-based split, the incidents that reshaped it (EchoLeak, CamoLeak, ForcedLeak, Gemini spoofing, GitLab Duo), and the defense stack that actually works — with cited sources.
07.07.2026
Agentic commerce now means agents that shop and pay on behalf of users — a payment-protocol layer that didn't exist 18 months ago. Visa Intelligent Commerce, Mastercard Agent Pay, the Stripe/OpenAI Agentic Commerce Protocol, ChatGPT instant checkout, and what it means for merchants and SMBs.
24.06.2026
Data poisoning is the integrity attack on AI — corrupting training, fine-tuning, RAG, or tool data to plant backdoors or bias outputs. Anthropic's 2025 result (250 documents is enough) reshaped the threat model. Here's the working picture across five attack surfaces with cited sources.
23.06.2026