AI Agents
Building, deploying, and managing autonomous AI agents for workflow automation, customer support, internal operations, and more.
AI agents represent the next evolution in enterprise automation—intelligent systems that can reason, plan, and take action autonomously. Unlike simple chatbots, AI agents handle complex multi-step tasks across customer support, internal operations, data analysis, and specialized workflows. Discover how agentic AI is transforming how organizations operate.
464 articles in this category
Nature: LLMs Proficient Solving & Creating Emotional Intelligence Tests
A new Nature paper reveals that advanced language models not only surpass human performance on emotional intelligence assessments but can also author psychometrically sound tests of their own.
Multi-Agent Portfolio Collab with OpenAI Agents SDK
OpenAI’s tutorial shows how a hub-and-spoke agent architecture can transform investment research by orchestrating specialist AI “colleagues” with modular tools and full auditability.
BCG: AI-First Companies Win the Future
BCG’s new report argues that firms built around AI—not merely using it—will widen competitive moats, reshape P&Ls, and scale faster with lean, specialized teams.
McKinsey: Seizing the Agentic AI Advantage
McKinsey’s new report argues that proactive, goal-driven AI agents—supported by an “agentic AI mesh” architecture—can turn scattered pilot projects into transformative, bottom-line results.
LEGO/The Alan Turing Institute: Understanding GenAI Impact on Children
A new study reveals how children aged 8–12 are already using tools like ChatGPT, highlighting benefits, risks, and the urgent need for child-centred AI design and literacy.
OpenAI: Disrupting Malicious Uses of AI - June 2025
OpenAI’s latest threat-intelligence report reveals how ten malicious operations—from deep-fake influence campaigns to AI-generated cyber-espionage tools—were detected and dismantled, turning AI against the actors who tried to exploit it.
Oakland University: The Memory Paradox
Oakland University’s latest paper warns that offloading too much thinking to digital tools can erode human memory systems, arguing for education that strengthens internal knowledge even while embracing AI.
Pearson: Asking to Learn
Pearson’s analysis of 128,000 student queries to an AI study tool uncovers a surprising share of higher-order questions—evidence that thoughtful AI integration can push learners beyond rote memorization.
Apple: The Illusion of Thinking
Apple’s new study shows that Large Reasoning Models excel only up to a point—then abruptly collapse—revealing surprising limits in algorithmic rigor and problem-solving stamina.
OpenAI: A Practical Guide to Building Agents
OpenAI’s new guide demystifies how to design, orchestrate, and safeguard LLM-powered agents capable of executing complex, multi-step workflows.
Vanderbilt: The AI Labor Playbook
Vanderbilt University’s new playbook re-imagines generative AI as a scalable labor force—measured in tokens and led by humans—rather than a software product to simply buy and deploy.
OpenAI: AI in the Enterprise
OpenAI’s latest paper distills insights from seven frontier companies, showing how an iterative, security-first approach to AI can boost workforce performance, automate routine tasks, and power smarter products.
Microsoft: Shifting Work Patterns with GenAI
A six-month field experiment with 7,000+ workers shows Microsoft 365 Copilot slashing email time but leaving meetings—and broader workflows—largely unchanged.
Springer Nature: Why AI Won't Democratize Education
Springer Nature’s new paper argues that commercial AI tutors fall short of John Dewey’s vision of democratic education, and calls for publicly guided AI that augments teachers and fosters collaboration.
McKinsey: Open Source in Age of AI
McKinsey’s latest report uncovers why more than half of tech leaders are turning to open source AI for performance and cost advantages—while grappling with cybersecurity, compliance, and IP concerns.
BCG: AI Agents, and Model Context Protocol
BCG’s new report tracks the rise of increasingly autonomous AI agents, spotlighting Anthropic’s Model Context Protocol (MCP) as a game-changer for reliability, security, and real-world adoption.
Securing Agentic AI: Insights from Google & AWS
A joint Google–AWS report explains how the Agent-to-Agent (A2A) protocol and the MAESTRO threat-modeling framework can harden multi-agent AI systems against spoofing, replay attacks, and other emerging risks.
World Bank Group: From Chalkboard to Chatbots – Evaluating the Impact of Generative AI on Learning Outcomes in Nigeria
A World Bank working paper finds that using a GPT-4-powered virtual tutor in Nigerian secondary schools significantly boosts English, digital, and AI skills, with stronger gains for higher-performing, female, and higher socioeconomic students. The intervention proved highly cost-effective, equating to 1.5–2 years of traditional schooling and suggesting that scalable AI tutoring can enhance learning in low-resource settings, provided challenges like digital equity are addressed.
OpenAI: Multi-Agent Portfolio Collaboration with OpenAI Agents SDK
A multi-agent system built with the OpenAI Agents SDK delegates investment analysis tasks to specialized agents coordinated by a central Portfolio Manager, ensuring modular, scalable, and transparent research.
Bond: Trends - Artificial Intelligence 2025
Bond’s latest AI trends report reveals record-breaking adoption, surging infrastructure investment, and intensifying global competition that will reshape how people work, build, and come online.
AI Agents Governance Report: Autonomy Passport Framework
The Center for AI Policy’s latest report outlines the promise and peril of autonomous AI agents and proposes concrete congressional actions—like an Autonomy Passport—to keep innovation safe and human-centric.
AI Policy Brief: Governing Agent Autonomy in Digital Age
The report outlines the rapid shift of AI agents from research to deployment, emphasizing their autonomous, goal-directed capabilities along a five-level spectrum. It identifies three primary risks—catastrophic misuse, gradual human disempowerment, and extensive workforce displacement—and recommends policies such as an Autonomy Passport, continuous oversight, mandatory human control over high-stakes decisions, and annual workforce impact studies to ensure safe and beneficial integration of these agents.
North-West University: Exploring AI-Driven Conversations as Dynamic OER for Self-Directed Learners
The paper proposes that AI-powered conversations, like those from ChatGPT, can serve as dynamic and personalized open educational resources to support self-directed learning, while highlighting challenges such as ethical concerns and the need for proper teacher training and infrastructure.
Software Bill of Materials (SBOM) for the ibl.ai Platform
SBOM, software bill of materials, generative AI platform, LLM-agnostic, LangChain, Langfuse, Flowise, OpenAI GPT-4, Google Gemini, Azure OpenAI, Anthropic Claude, AWS Bedrock, open-source LMS, OpenAPI, Python SDK, JavaScript SDK, OAuth2, OIDC, SAML, LTI 1.3, ReactJS, Next.js, React Native, ibl.ai, university CIO, edtech, AI tutor, permissive licenses, vendor lock-in avoidance, cost control, enterprise security, higher education technology