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Learn Agentic AI — Build Voice & Chat Agents

Step-by-step tutorials on building voice and chat AI agents using OpenAI Agents SDK, Realtime API, function calling, multi-agent orchestration, and production deployment patterns.

9 of 1313 articles

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15 min read0Mar 16, 2026

Building a Financial Aid Agent: FAFSA Guidance, Scholarship Search, and Aid Estimation

Create an AI financial aid agent that walks students through FAFSA requirements, matches them with scholarships, estimates aid packages, and answers complex financial aid questions.

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15 min read0Mar 16, 2026

AI Agent for K-12 Parent Communication: Grade Updates, Attendance, and School Events

Build an AI agent that keeps K-12 parents informed with real-time grade updates, attendance notifications, school event details, and seamless LMS integration.

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16 min read0Mar 16, 2026

Building a Thesis Advisor Agent: Research Topic Exploration and Literature Review Assistance

Build an AI thesis advisor agent that helps graduate students brainstorm research topics, find relevant literature, develop methodology, and plan their thesis timeline.

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15 min read0Mar 16, 2026

AI Agent for Online Course Platforms: Student Onboarding, Progress Tracking, and Support

Create an AI agent for online learning platforms that handles student onboarding, monitors progress, detects when learners are stuck, and provides targeted help resources.

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14 min read0Mar 16, 2026

Building a Peer Tutoring Matching Agent: Connecting Students for Study Groups

Build an AI agent that matches students for peer tutoring based on skills, availability, and learning preferences, while collecting feedback and tracking tutoring quality.

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16 min read0Mar 16, 2026

AI Agent for Special Education: IEP Tracking, Accommodation Management, and Parent Updates

Build an AI agent that tracks Individualized Education Program goals, manages accommodation compliance, generates progress reports, and coordinates the special education team.

Learn Agentic AI
11 min read0Mar 16, 2026

Chaos Engineering for AI Agents: Testing Resilience with Controlled Failures

Discover how to apply chaos engineering to AI agent systems by designing controlled failure experiments, measuring blast radius, defining steady state, and building confidence in agent resilience under real-world conditions.

Learn Agentic AI
10 min read0Mar 16, 2026

Agent Capacity Planning: Predicting Resource Needs for Growing Agent Workloads

Master capacity planning for AI agent systems by learning demand forecasting, resource modeling, headroom calculation, and scaling trigger design to keep your agents performant under growing workloads.