Reports about GPT-5.6 Sol deleting files and databases are not proof of a widespread failure—but OpenAI’s own system card documents the exact class of agentic behavior users should treat as a production safety problem.
Claude Code usage limits are a shared computational budget, not a simple message counter. Four workflow changes—planning, memory, model matching, and context control—make that budget last longer.
A new hands-on walkthrough shows how to build a local MCP server that gives AI agents persistent memory, reinforcement, decay, pruning and deduplication.
IBM Research found that production model routing is not a simple difficulty classifier: caching, execution paths, latency, infrastructure, compliance, and reliability all change the best operating point.
OpenRouter traffic shows Chinese-origin models taking a 46% weekly peak of U.S.-organization token volume. The deeper story is cost-based routing, not a clean enterprise exodus from American models.
A practical comparison of ten open-source and source-available platforms for visual LLM apps, RAG, agent workflows, and self-hosted AI automation.
We design and deploy AI agents and automation systems that cut manual work — so your team spends fewer hours and less money on tasks a machine can handle. Most teams still handle support tickets, lead follow-ups, invoices, and reporting by hand — one message or spreadsheet at a time. We build agents that plug into the tools you already use, like your CRM, inbox, and spreadsheets, and handle the repetitive parts end to end, with a person checking the results instead of doing the busywork.
Explore servicesAI moves fast — new models, new tools, new ways teams are automating work every week. We track what's actually shipping, filter out the hype, and turn it into practical guides and news our readers can act on. That covers everything from model and benchmark news to hands-on comparisons like AI agents versus RPA, and step-by-step workflows for support, sales, and back-office automation.