made by agents
Weekly notes on AI-driven software development: coding agents, workflows, and tools we actually use.
AI agents need real-world context to excel. Learn how RAG, MCP, and advanced search tools transform static models into dynamic, enterprise-ready systems.
Discover how AI agents can work as a research team—analyzing fundamentals, macros, and quant data—to deliver institutional-grade portfolio insights.
From web scraping to code execution and database queries, explore 12 must-have tools that make AI agents smarter, faster, and production-ready.
Learn how to orchestrate multi-agent AI apps using the OpenAI Agents SDK. Features include guardrails, streaming, MCP tools, and dynamic workflows.
Learn how to connect MCP servers with your agents using Make.com, n8n, and CrewAI for scalable, production-ready multi-tool AI workflows.
Protect your AI agents from misuse and costly errors. Learn how to add input/output guardrails in the OpenAI Agents SDK for safer, cheaper workflows.
Explore five powerful multi-agent architectures—hierarchical, sequential, network, and more—to build scalable, intelligent AI systems.
Learn how to design an AI-powered lead reactivation system with conversational AI, multi-channel outreach, and CRM integration for maximum ROI.
Learn two powerful tactics—Test-Driven Development and Memory Bank—to make AI coding tools smarter, faster, and less error-prone.
Talk to our team about implementing AI-driven automation for your business.
