ibl.ai Agentic AI Blog

Insights on building and deploying agentic AI systems. Our blog covers AI agent architectures, LLM infrastructure, MCP servers, enterprise deployment strategies, and real-world implementation guides. Whether you are a developer building AI agents, a CTO evaluating agentic platforms, or a technical leader driving AI adoption, you will find practical guidance here.

Topics We Cover

Featured Research and Reports

We analyze key research from leading institutions and labs including Google DeepMind, Anthropic, OpenAI, Meta AI, McKinsey, and the World Economic Forum. Our content includes detailed analysis of reports on AI agents, foundation models, and enterprise AI strategy.

For Technical Leaders

CTOs, engineering leads, and AI architects turn to our blog for guidance on agent orchestration, model evaluation, infrastructure planning, and building production-ready AI systems. We provide frameworks for responsible AI deployment that balance capability with safety and reliability.

Developer Tools

MCP servers, CLIs, SDKs, APIs, and open source tooling for building on agentic AI platforms.

Building on agentic AI platforms requires the right developer tools—from MCP servers and CLIs to SDKs, APIs, and integration frameworks. Explore open source tooling, integration guides, and developer resources for building, extending, and connecting AI-powered applications.

920 articles in this category

Beyond the Novelty: Evaluating AI-Powered Career Navigation Tools

A five-person panel moderated by Rowan Trollope (BrightBound) explored how AI-powered career navigation tools can reduce inequalities rather than reinforce them.

Julia Dixon, Keely Cat-Wells, Nick Gross, Sam Hyams, Rowan TrollopeApril 13, 2026

Disagreeing Better

Harvard Kennedy School professor Julia Minson presented the core ideas from her new book "How to Disagree Better," arguing that persuasion fundamentally does not work and that the real goal of constructive disagreement should be getting the other per

Julia Minson, Olivia Eve Gross, Liz WillenApril 13, 2026

We the Poets… A Civic Performance by Lemon Andersen

Spoken word poet Lemon Andersen delivers a powerful civic performance poem followed by a pitch for "We the Poets," a proposed TV series where "def poetry jam meets the United States Constitution.

Lemon AndersenApril 13, 2026

Creating Alpha in Education

Mackenzie (Alpha School founder) and Austin (Gauntlet AI founder) described two radical approaches to education built from first principles.

Mackenzie, AustinApril 13, 2026

May The Force Be With You Championing Diversity

SHRM CEO Johnny Taylor Jr. is interviewed by Debra Dunn on the evolving landscape of workplace diversity, AI's impact on the workforce, and the escalating crisis of workplace incivility.

Miguel AmigotApril 13, 2026

FUSION with Michael Moe

GSV founder Michael Moe delivers the opening keynote of the 17th annual ASU-GSV Summit, framing education's transformation through the lens of "fusion" -- the convergence of man and machine, learning and earning, physical and digital.

Michael MoeApril 13, 2026

AI with Raspberry Pi

Paula Golden of the Broadcom Foundation and Philip Colligan, CEO of the Raspberry Pi Foundation, discussed their long-standing partnership to democratize access to computing and AI education for young people worldwide.

Paula Golden, Philip ColliganApril 13, 2026

From Wedge to Leading Edge... Rahm Emanuel on the Education Reset

Former Ambassador Rahm Emanuel discusses his vision for education reform in America, drawing on his experience as Mayor of Chicago, White House Chief of Staff, and potential 2028 presidential candidate.

Rahm Emanuel, Michael Moe, Phyllis Lockett, Dr. Mahalia HinesApril 13, 2026

Why Universities Are Building MCP Data Layers Before Deploying AI Agents

The universities scaling AI fastest share one trait: they built their MCP data layer first. Here's why the integration architecture matters more than the AI model you choose.

Jaione AmigotApril 13, 2026

From Pilot to Platform: How Universities Are Deploying AI Agents Across Every Department

The AI pilot era is over. Universities that are winning the AI transition have moved from isolated chatbot experiments to institution-wide agentic infrastructure — with full data control and measurable outcomes.

Mikel AmigotApril 12, 2026

How Universities Are Building Institutional AI Memory with MCP in 2026

How forward-thinking universities are using the Model Context Protocol to connect their SIS, LMS, and CRM data into a unified AI memory layer — and why it matters for institutional competitive advantage in 2026.

Mikel AmigotApril 11, 2026

Why Agentic AI Programs Stall at Pilot — and the Architecture That Scales

67% of enterprises say security risk is their #1 blocker to scaling AI. This post diagnoses why agentic AI pilots succeed but scale fails — and what the architectural answer looks like.

Jaione AmigotApril 10, 2026

Meta Muse Spark and the Parallel Reasoning Architecture Shift

Meta's Muse Spark introduces parallel agent reasoning to frontier AI. Here's what the architecture means and why it changes how organizations should evaluate models.

Mikel AmigotApril 9, 2026

Open-Source AI Just Beat Closed-Source on the Hardest Coding Benchmark

GLM-5.1 from Zai just scored 58.4 on SWE-Bench Pro — beating Claude Opus 4.6, GPT-5.4, and Gemini 3.1 Pro. Here's what the open-source surge means for organizations deploying AI agents.

Mikel AmigotApril 8, 2026

When AI Models Start Protecting Each Other: What Coalition Formation Means for Multi-Agent Deployment

A new study reveals frontier AI models form protective coalitions during collaborative tasks. Here's what it means for organizations deploying multi-agent systems.

Blanca AmigotApril 7, 2026

The AI Training Data Supply Chain Is More Fragile Than You Think

The Mercor data breach exposes a hidden vulnerability in how the world's most powerful AI models are built. Here's what organizations need to understand about the AI training data supply chain.

Miguel AmigotApril 6, 2026

How Microsoft Purview Extends Data Governance to OpenClaw AI Agents

Microsoft Purview's data security capabilities now extend to enterprise AI apps — including OpenClaw instances registered through Microsoft Entra. Here's how the integration works and why it matters for organizations deploying AI agents at scale.

Jaione AmigotApril 6, 2026

Google Gemma 4 Switches to Apache 2.0: What This Means for Organizations Running Their Own AI

Google's Gemma 4 release under Apache 2.0 marks a turning point for organizations that want to run frontier-class AI on their own infrastructure. Here's what changed, why it matters, and how to evaluate open-weight models for production use.

Jaione AmigotApril 5, 2026

AI Just Found a 23-Year-Old Linux Kernel Vulnerability — Here's What That Means for Security

An Anthropic researcher used Claude Code to discover a heap buffer overflow in the Linux kernel that went undetected for 23 years. This is what changes when AI agents start auditing critical infrastructure.

Jaione AmigotApril 4, 2026

What Anthropic's Claude Lockdown Teaches Us About Owning Your AI Infrastructure

Anthropic just restricted Claude subscriptions from third-party tools. Google's Gemma 4 went truly open-source. An AI agent found a 23-year-old Linux vulnerability. Three stories from one week that explain why organizations need to own their AI infrastructure.

Jaione AmigotApril 4, 2026

Google Gemma 4 Goes Apache 2.0: What It Means for Organizations Running Their Own AI

Google's Gemma 4 release under Apache 2.0 marks a turning point for open AI models. Here's what it means for organizations building their own AI infrastructure.

Miguel AmigotApril 3, 2026

Everyone Wants to Be an 'Agentic OS' — Here's What That Actually Requires

Slack just declared itself an agentic operating system. But what does that term actually mean — and what architecture does it demand?

Blanca AmigotApril 2, 2026

OpenAI's Superapp Strategy and the Case for Owning Your AI Infrastructure

OpenAI's $122B raise and superapp vision signal deepening vendor lock-in. Here's why organizations should own their AI agents, data, and infrastructure instead.

Jaione AmigotApril 1, 2026

Microsoft Copilot Is 'For Entertainment Only' — What That Means for Organizations Betting on Vendor AI

Microsoft classified Copilot as 'for entertainment purposes only' in its terms of use — while simultaneously needing Anthropic's Claude to fact-check its own outputs. Here's what organizations should learn from this.

Mikel AmigotMarch 31, 2026