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AI Agents
Building, deploying, and managing autonomous AI agents for workflow automation, customer support, internal operations, and more.
711 articles in this category
Student Onboarding, Upgraded: An AI Inventory That Helps Learners Start Strong
A practical guide to an AI-driven student onboarding agent that runs a short learning-modalities inventory, returns personalized study tactics, and connects recommendations to real course assignments—helping students and instructors start strong in week one.
Best Slate (Technolutions) Alternatives for Higher Education CRM in 2026
Is Slate the right fit for your institution? Explore the top alternatives to Technolutions Slate CRM, including modern AI-powered platforms that offer faster implementation, lower costs, and advanced capabilities.
Early Alert Systems in Higher Education: AI-Enhanced Intervention
Early alert systems identify struggling students before they fail. Here's how AI is enhancing early alert to save more students.
The Trust Problem in an AI World: A University CIO’s Guide to Responsible AI in Higher Education
A pragmatic playbook for CIOs to replace “shadow AI” with a trust-first model—covering culture, architecture, standards (LTI/xAPI), safety, and analytics—plus how a model-agnostic, on-prem platform like ibl.ai operationalizes responsible transparency at scale.
Grok 3 for Education: xAI's Model for Academic Applications
xAI's Grok 3 brings unique capabilities to education. Here's what institutions should know about leveraging Grok for AI tutoring and academic support.
Grow Without the Bloat: The AI Playbook for Expanding Your Institution
A practical guide to using a governed, model-agnostic AI layer to expand enrollment, advising capacity, and credential offerings—while keeping costs predictable and data inside your institution.
Clearing The Inbox: Advising & Admissions Triage With ibl.ai
How to deploy an agentic triage layer across your website and LMS that resolves routine admissions/advising questions 24/7, routes edge cases with context, and gives leaders first-party analytics—so staff spend time on pathways, not copy-paste replies.
A Biased Way to Pick an Agentic AI Platform for Your University
A candid (and cheerfully biased) field guide for campus leaders to evaluate agentic AI platforms—covering cost realism, on-prem governance, education-native plumbing (LTI/xAPI), governed memory, analytics, and the developer experience needed to actually ship.
Skills & Micro-Credentials: Using Skills Profiles for Personalization—and Connecting to Your Badging Ecosystem with ibl.ai
How institutions can use ibl.ai’s skills-aware platform to personalize learning with live skills profiles and seamlessly connect verified evidence to campus badging and micro-credential ecosystems.
Standards That Matter (LTI, xAPI): Why Education-Native Plumbing Beats Generic Chat
A practical look at how LTI and xAPI turn AI from “just a chatbot” into a campus-ready agent platform—and why ibl.ai’s education-native plumbing outperforms general-purpose chat tools.
How ibl.ai Fits (Beautifully) Into Any University AI Action Plan
This article shows how ibl.ai—an on-prem/your-cloud AI operating system for educators—maps directly to university AI Action Plans by delivering course-aware agent guidance, faculty-controlled safety, and first-party analytics that tie AI usage to outcomes and cost.
Weekly Platform Updates — October 6, 2025
Weekly platform update for October 6, 2025, featuring In-Chat Uploads, Instructor Safety Controls, and the Instructor History Panel—plus a spotlight on the Italian-Speaking Community Agent and the ibl.ai × Morehouse College partnership.
Build vs. Buy vs. “Build on a Base”: The Third Way for Campus AI
A practical framework for higher-ed teams choosing between buying an AI tool, building from scratch, or building on a campus-owned base—covering governance, costs, LMS integration, analytics, and why a unified API + SDKs unlock faster, safer agentic apps.
ibl.ai On Thinkific: Investling’s AI Agent
How Investling embedded ibl.ai directly into Thinkific to deliver a goal-aware, risk-profiled investing agent—with in-video chat, mobile access, and persistent learner memory that turns passive lessons into personalized coaching.
AI That Moves the Needle on Learning Outcomes — and Proves It
How on-prem (or university-cloud) ibl.ai turns AI-powered tutoring into measurable learning gains with first-party, privacy-safe analytics that reveal engagement, understanding, equity, and cost—aligned to your curriculum.
ibl.ai: An AI Operating System for Educators
A practical blueprint for an on-prem, LLM-agnostic AI operating system that lets universities personalize learning with campus data, empower faculty with control and analytics, and give developers a unified API to build agentic apps.
ibl.ai: The Platform for Campus Builders
A practical look at how ibl.ai gives universities Python/Web SDKs and a unified API to build, embed, and measure agentic apps with campus data—on-prem or in their cloud.
ibl.ai Evidence of Impact
An academic analysis of the ibl.ai platform — the learning theories behind its design, the features that drive student engagement, and documented learning outcomes from deployments at GWU, Morehouse, and Syracuse.
American University of Sharjah × ibl.ai: Course-Tuned AI Agents for Calculus & Physics
AUS and ibl.ai are launching a fall pilot of course-tuned AI agents for Calculus and Physics that use a code interpreter to compute, visualize, and cite instructor-approved resources—helping students learn reliably and transparently.
Seamless LTI Deep Linking in Canvas, Brightspace and Blackboard with ibl.ai
A step-by-step walkthrough of how ibl.ai supports LTI Deep Linking in Canvas, Brightspace, Blackboard, and other compliant LMS platforms—allowing instructors to embed AI agents directly into courses with minimal setup and a seamless launch experience.
Human-In-The-Loop Course Authoring With ibl.ai
This article shows how ibl.ai enables human-in-the-loop course authoring—AI drafts from instructor materials, faculty refine in their existing workflow, and publish to their LMS via LTI for speed without losing academic control.
Guided, Proactive AI Agents on ibl.ai
Guided, proactive AI agents from ibl.ai are course-aware assistants that know your units and outcomes, nudge learners with timely suggestions, and cite your slides/readings by default—bringing structure, transparency, and better study habits to every class.
Per-Course and Per-Student AI Agents on ibl.ai
How ibl.ai enables per-course and per-student assistants that answer with cited sources, follow instructor-defined pedagogy, and respect domain-specific safety—so campuses get precision, transparency, and control without the complexity.
Cited Answers By Design with ibl.ai
An overview of ibl.ai’s Document Retrieval—answers that cite the exact lecture/slide/page, a ranked Source Panel that updates as you chat, one-click opening of the originals, and admin-level visibility controls—so campuses get transparent AI that teaches students to verify claims and helps faculty keep content governance simple.
About AI Agents
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.