Practical insights on building AI agents, multi-agent teams, and visual workflows. Tutorials, comparisons, and builder narratives.
Gumloop raised $50M on the thesis that every employee should build AI agents. Dify raised $30M on a similar bet. I've been building a tool with the same thesis for a year. Here's why we're only half right.
Salesforce, Zoom, and RingCentral all launched agentic platforms at Enterprise Connect 2026. Supply chains are automating decisions in seconds. Here's what the winning deployment patterns have in common.
A plain-language guide for executives on AI agents: what they are, how they differ from chatbots, where enterprises are deploying them, what they cost, and the governance questions you need to answer before greenlighting a pilot.
How Agno Builder exports visual agent workflows as clean, production-ready Python code. A walkthrough of the code export pipeline, the no-vendor-lock-in philosophy, and how PMs can hand off working prototypes instead of spec documents.
Microsoft consolidated AutoGen and Semantic Kernel into one agent framework with graph-based workflows and multi-provider support. Here's what it means for PMs, technical leads, and anyone designing multi-agent systems.
In one week, two AI agent builder companies raised a combined $80 million. Here's what the funding signals about the market, where VCs are placing bets, and an honest look at what it means for smaller players.
A practical guide to AI agent security for product managers and founders, covering real vulnerabilities in popular platforms, OWASP's new agentic security framework, and what 'secure by design' actually means.
A step-by-step walkthrough of building a multi-agent research team using a visual builder, with honest results comparing manual Python setup to drag-and-drop configuration.
A practical comparison of three visual AI agent builders for product teams. Compare features, exported code, team support, and pricing to find the right tool for your workflow.
Most companies treat AI agent design as an engineering task. But the decisions that matter most, which model, which tools, which team pattern, are product decisions. Here's the case for giving product teams the tools to own agent design.
Visual agent builders let PMs prototype, test, and hand off AI agent designs without writing Python. Here's the complete workflow.
AI agent builders are a new product category that most PMs struggle to explain. Here's a plain-language breakdown of what they do, how they differ from workflow tools and chatbot builders, and why the category matters for product teams.
The Agno framework is one of the most popular agent frameworks out there. But building agents still meant writing boilerplate Python. So we built a visual interface, and here's what we learned.
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