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.
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Learn to build an AI agent that parses resumes, evaluates candidates against job requirements, generates match scores, and implements bias mitigation strategies for fair automated hiring workflows.
Build an AI agent that designs employee surveys, distributes them to targeted groups, collects responses with anonymity controls, and performs sentiment analysis to surface actionable insights for leadership.
Create an AI agent that powers internal job boards, matches employees to open positions based on skill profiles, supports transfer applications, and facilitates transition planning between teams.
Build an AI agent that handles employee clock-in/out, displays work schedules, manages timecard exceptions, and routes approval workflows — replacing clunky time tracking interfaces with conversational interactions.
Build an AI agent that answers employee compensation questions including pay stub breakdowns, tax withholding explanations, benefits enrollment details, and HSA/FSA management — with strict data security.
Learn how to build a production-quality chat interface for AI agents using React and TypeScript. Covers message bubble components, input handling, and smooth auto-scroll behavior.
Implement token-by-token streaming display for AI agent responses using Server-Sent Events, React state, and cursor animation. Includes markdown rendering during streaming.
Implement a voice interface for AI agents using the MediaRecorder API, real-time audio waveform visualization with Canvas, and audio playback controls in React.
