Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
Create configuration snapshots for reproducible AI agent testing. Learn snapshot creation, test isolation, seeded randomness, and techniques for achieving deterministic test results.
Design and implement a no-code agent builder that lets non-technical users create, configure, and test AI agents through visual flows, prompt editors, tool configuration panels, and a live testing sandbox.
Implement plan-based feature gating for AI agent tools and capabilities. Learn to build dynamic tool lists, enforce tier restrictions, and surface upgrade prompts when users hit limits.
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.
Design a certification program that ensures third-party AI agents meet quality, safety, and reliability standards before appearing in your marketplace. Covers certification criteria, automated testing, badge systems, and ongoing compliance monitoring.
Explore the four major patterns for inter-agent communication — handoff-based messaging, event-driven systems, shared memory via RunContext, and the blackboard pattern — with implementation examples using the OpenAI Agents SDK.
Build conversation analytics for AI agents that measure success rates, identify drop-off points, track user satisfaction, and surface patterns that drive product and prompt improvements.
Learn how to mine AI agent conversation logs for actionable patterns using text mining, topic modeling, pattern extraction, and automated insight generation that drives agent improvement.
Learn how to build defensible network effects around an AI agent platform through developer relations, partner programs, content strategy, and community flywheel design. Covers ecosystem metrics, incentive structures, and growth loops.
