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
Build passwordless authentication for AI agent platforms using magic links and WebAuthn passkeys. Covers the complete flow from email-based login to biometric authentication with FastAPI implementation.
Build a comprehensive incident response plan for AI agent security breaches, including detection signals, automated containment, investigation procedures, recovery steps, and post-mortem processes for continuous improvement.
Understand how indirect prompt injection attacks work against AI agents, explore real attack vectors from web pages, emails, and tool outputs, and learn detection and prevention strategies to protect your agent systems.
Build end-to-end information extraction pipelines for AI agents that convert unstructured text into structured data using extraction patterns, relation extraction, template filling, and validation.
Optimize infrastructure costs for AI agent deployments with practical strategies for instance selection, auto-scaling, spot instances, and reserved capacity. Learn to match compute resources to actual workload patterns.
Learn how to build event-driven AI agent workflows with Inngest. Covers event triggers, step functions, automatic retries, fan-out patterns, and rate limiting for production agent systems.
Get started with the Instructor library to extract typed, validated Python objects from LLM responses. Covers setup, OpenAI patching, automatic retry logic, and validation-based error correction.
Connect your AI agent to Google Workspace for automated document creation in Google Docs, data manipulation in Sheets, and intelligent email drafting in Gmail using Google APIs and OAuth2 authentication.
Connect your AI agent to Notion for automatic page creation, database row updates, and block-level content manipulation using the Notion API, with practical Python examples for common automation patterns.
