Articles

Can an AI agent work on a 1C server? See what it found in a live cluster, where it erred, and what permissions to grant.

See what's changed in DeepSeek-V4.1-Flash-1017, including benchmarks, API pricing, Search and Fetch API updates, and migration considerations.

PathFM builds time series trajectories. This article reviews the study and lead-time demand validation, including arrival delays and stockouts.

A closer look at Glimpse by Elorian, including video replay, demo limits, and how to verify equipment counting before adoption.

How the GIS Anticartel system uses AI to flag collusive bidding in public procurement, what signs it checks, and what buyers should review.

Learn how to evaluate an office AI agent before deployment, why infrastructure matters, and how to test it on your own tasks.

How to add AI code review without overwhelming teams: thresholds, review rounds, risk levels, and metrics from real-world examples.

Why a language model’s confidence label can’t tell a correct answer from a wrong one, and which checks work better than self-rating.

A benchmark of 5 to 100 MCP tools in Claude Code, Codex, and Antigravity shows how tool count, names, and cost affect agent performance.

How to expose company services to client AI agents through an MCP server with OAuth, based on the VkusVill case, requirements, risks, and launch plan.

Learn how MemComposer selects and organizes experience for an AI agent, with research findings, token-saving limits, and support testing.

Qwen-Image-2.1-Turbo creates and edits images in eight steps. Review the license, deployment requirements, and output checks before use.

Learn how to prepare your AI systems for LLM model deprecation, including migration planning, policy changes, and avoiding service disruptions.

Why security teams slow down LLM projects and how to get approval, with a data matrix, infosec document package, and pilot plan.

Learn what an LLM firewall does, the threats it helps address, what it does not solve, and how enterprises can plan implementation.

What a reranker in RAG is and when it improves search quality, with a test on 64 and 500 notes, nDCG, cost, latency, and a decision plan.

How an AI agent triages Kubernetes alerts and drafts hypotheses in chat, with guidance on model choice, log security, and pilots.

Public LLM benchmarks can age quickly. Learn why rankings lose relevance and how to build a practical evaluation set for your business.

What QwenGyre showed: faster training for long-horizon AI agents, and the limits of the preprint for data, validation, and budget planning.

A working group has proposed temporary use of foreign AI accelerators at critical infrastructure sites. See what may change for planning AI projects.

What it takes to make an in-house LLM work like a service: GPU pools, a scheduler, a gateway with quotas, routers, cache, and a Quality Gate.

Learn how an AI secretary in Telegram is set up, what it costs, and how routing, memory, and escalation rules affect business use.

A breakdown of Odyssey-3, what the research preview discloses, how to read Physics-IQ, and what evidence businesses should ask for.

Learn how to build a competency matrix with AI using a skills dictionary, level scale, evidence, manager review, and a reusable template.