We curate practical AI news, development, and how-to content with an emphasis on implementation and verification rather than short summaries.
Read our policies and contact channels on the About, Privacy, Terms, and Contact pages.
An explanatory guide that summarizes the core structure of Microsoft Agent Framework 1.0, differences from ADK and LangGraph, and introduction standards from an approval, checkpoint, and operational perspective from a practitioner's perspective.
The OpenAI Foundation's announcement that it will invest more than $100 million to support Alzheimer's research is not just social contribution news. We explain from a practical perspective under what conditions an AI biomedical strategy that combines data, biomarkers, new drug design, and clinical verification all at once becomes meaningful.
Google's addition of a self-harm/suicide crisis response interface to Gemini is not a simple feature patch, but an example that shows what operating standards generative AI services should have in sensitive areas. Based on the official announcement and related materials, the product team has compiled checkpoints to be applied immediately.
Multi-agent automation may seem like a trend, but platform selection mistakes are the most expensive in actual adoption. This article compares Microsoft Power Platform 2026 Wave 1, UiPath Maestro, and code-based frameworks on a like-for-like basis and presents actionable selection rules.
Woori Bank's push for AI agent banking shows that the financial sector is moving beyond answer-based AI to the action-oriented business orchestration stage. We have summarized the permission design, log, approval flow, and rollback criteria required when converting more than 175 agents into an actual operating system from a practical perspective.
Based on AI Times' BullshitBench report, we have compiled a practical verification checklist of the "ability to reject incorrect premises," which should be considered before the percentage of correct answers in LLM evaluation.
Google ADK Skills are more of an operational structure that reduces unnecessary context costs and instruction conflicts rather than features that make the agent more flashy. We've put together a set of practical adoption criteria to stop prompting and load expert knowledge only when needed.
Gemma 4 is not simply a high-performance open model, but a variable that causes companies to reexamine their closed API-centered strategies. Based on Apache 2.0, 256K context, multimodal, on-premises and sovereign cloud deployment possibilities, we have organized a practical judgment frame for when to introduce and when to postpone.
Netflix's open source VOID is a model that not only erases objects from video, but also recreates the physical effects left behind by those objects. We have organized practical standards for when the development team should review compared to existing inpainting and SaaS.