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 how to migrate vector embeddings between Pinecone, pgvector, and Weaviate. Covers export formats, re-embedding decisions, index tuning, and verification strategies.
Learn how to manage framework upgrades for AI agent systems. Covers semantic versioning, compatibility testing, shim layers for breaking changes, and gradual adoption strategies.
Learn how to perform database schema migrations for AI agent systems with zero downtime. Covers online migrations, backward compatibility, data backfill, and rollback strategies.
Learn how to swap third-party API integrations in AI agent systems without breaking existing workflows. Covers the adapter pattern, interface abstraction, parallel testing, and safe cutover.
Learn how to validate AI agent quality after migrations and system changes. Covers validation checklists, regression testing, monitoring dashboards, and automated rollback triggers.
Learn how to build an AI agent for HVAC service companies that walks technicians and customers through diagnostic trees, books appointments, looks up parts, and generates quotes automatically.
Build an AI agent that classifies plumbing emergencies, dispatches technicians with smart routing, estimates pricing, and handles follow-up scheduling for plumbing service companies.
Learn how to build an AI agent that tracks construction project milestones, processes photo documentation, sends delay alerts to stakeholders, and generates automated progress reports.
