The Ultimate Beginners’ Guide to Building an AI Agent in Python

A new report from Keyrock, a global crypto investment group leading in market making, asset management, OTC, and options trading for digital assets, finds that artificial intelligence (AI) agents have settled more than $73 million across approximately 176 million transactions since May 2025, while four competing payment architectures have taken shape, backed by some of […]

Google used I/O 2026 to unveil an ambitious suite of AI agents — including Gemini Spark for personal task management, information agents replacing Google Alerts, a Daily Brief digest drawn from Gmail and Calendar, and an increasingly agentic Chrome browser. The announcements represented a genuine leap in agentic AI capability, but access to most features is restricted […]

Studio by Spotify Labs is a new standalone AI app that generates a daily briefing, podcasts, and playlists on your PC using chatbot prompts. The AI-generated content draws from your Spotify listening history, as well as info from apps you connect to it, like your email inbox, calendar, and notes. Spotify says its AI can also "take action on your behalf," such as "researching topics, using a web browser, organizing information, and helping complete tasks." Any content you generate in Studio, like a daily briefing podcast, can be saved to your Spotify library. It will be launching "in the coming weeks" as a research preview for users 18 and … Read the full story at The Verge.

I have been experimenting with the OpenAI Agents SDK, and it has quickly become one of my favorite ways to build agentic AI applications.

Figma has introduced its own AI agent embedded directly into its collaborative design canvas, allowing users to generate new designs, edit existing ones, and automate repetitive tasks through natural language prompts. Multiple agents can run simultaneously on the same canvas, and the company says the underlying models are fine-tuned specifically for design contexts. The move […]

Railway's focus on AI agent infrastructure highlights a shift towards specialized cloud solutions, potentially reshaping cloud service dynamics. The post Railway reports 3M users, $200K coding agent spend, and 100K weekly signups appeared first on Crypto Briefing.

turbovec brings Google Research's TurboQuant algorithm to vector search, offering 16x compression and zero codebook training for RAG pipelines. The post Meet Turbovec: A Rust Vector Index with Python Bindings, and Built on Google’s TurboQuant Algorithm appeared first on MarkTechPost.

AI agents can quickly become expensive without a clear strategy for planning, skill coverage, and budgets. This article shows how to use operations research and data science to optimize AI agent cost and resource allocation. You will learn how to frame common agent problems—skill coverage, project assignment, and budgeting—as set covering, assignment, and knapsack optimization models in Python using Gurobi. The post Optimizing AI Agent Planning with Operations Research and Data Science appeared first on Towards Data Science.