made by agents
What actually works in AI development, for AI builders. Coding agents, workflows, and the tools we ship with. Weekly. No fluff.
Build a locally-running AI research agent using Ollama and small LLMs. Save hours weekly on research tasks while keeping data private.
I tested 6 AI coding platforms to build the same portfolio tracker. See which tool crushed it and why AI won’t replace developers—yet.
Learn vibe coding best practices from Anthropic’s Code w/ Claude event—responsible AI coding, verifiability, and production-ready strategies.
Explore the pros, cons, and key trade-offs of open-source vs proprietary AI for building AI agents. Make informed decisions for scalability, security, and cost.
Boost your AI-driven dev workflow with these must-have plugins for version control, instant AI code reviews, and visual UI-to-code integration.
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.
Talk to our team about implementing AI-driven automation for your business.
