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Make AI Do Sh*t.

No fluff. Just deep dives into tool-calling and agent auth to make your AI actually useful.

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COMPANY NEWS

Your MCP Client Just Got Superpowers: Arcade Tools are now in Cursor, VS Code, and more

If you've been using Cursor, Claude Desktop*, VS Code, or any MCP-compatible client, you've probably experienced the same frustration: your agent is brilliant at reasoning through workflows, but the moment it needs to actually do something across your tools, you're back to juggling configurations for each individual tool, debugging auth flows, and troubleshooting why the setup that worked yesterday doesn't work today. Those days are over. With the launch of Arcade MCP Gateways, your MCP client

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THOUGHT LEADERSHIP

Agent Skills vs Tools: What Actually Matters

The agent ecosystem has a terminology problem that masks a real architectural choice. "Tools" and "skills" get used interchangeably in marketing decks and conference talks, but they represent fundamentally different approaches to extending agent capabilities. Understanding this distinction is the difference between building agents that work in demos versus agents that work in production. But here's the uncomfortable truth that gets lost in the semantic debates: from the agent's perspective, it'

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THOUGHT LEADERSHIP

Using LangChain and Arcade.dev to Build AI Agents For Consumer Packaged Goods: Top 3 Use Cases

Key Takeaways * CPG companies hit a multi-user authorization wall, not a capability gap: Most agent projects stall in production because leaders can’t safely govern what permissions and scopes an agent has after it’s logged in across fragmented, domain specific systems (ERPs, retailer portals, communications). Arcade.dev’s MCP runtime replaces months of custom permissioning, token/secret handling, and auditability work. * Weather-based demand forecasting delivers fastest ROI: Unilever achiev

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THOUGHT LEADERSHIP

Using LangChain and Arcade.dev to Build AI Agents For Energy & Utilities: Top 3 Use Cases

Key Takeaways * Multi-user authorization blocks AI agent production in energy utilities: While AI agents show transformative potential across industries, energy utilities struggle to move past proof-of-concept because agents need secure, scoped access to SCADA systems, customer databases, and field operations platforms — Arcade.dev's MCP runtime solves this gap * LangChain + LangGraph are widely used for agent orchestration: Together they provide a proven way to model multi-step utility work

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THOUGHT LEADERSHIP

Using LangChain and Arcade.dev to Build AI Agents For Logistics & Supply Chain: Top 3 Use Cases

Key Takeaways * Research shows up to 90% of routine logistics manager tasks are automatable, yet a significant amount of AI projects fail: The gap isn't AI capability — it's the unsolved problem of multi-user authorization that prevents agents from safely acting across ERPs, warehouse systems, and supplier portals. Arcade.dev's MCP runtime closes this gap by enabling delegated user permissions and scoped tool access. * Supply chain disruptions cost enterprises an average of $1.5M per day: Mo

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THOUGHT LEADERSHIP

Using LangChain and Arcade.dev to Build AI Agents For Manufacturing: Top 3 Use Cases

Key Takeaways * AI agents move beyond chat to take real manufacturing actions: While 51% of organizations already have agents in production, manufacturers struggle to connect them to fragmented, domain specific systems (MES, ERP, QMS). The blocker isn’t model capability—it’s multi-user authorization: defining and enforcing the permissions and scopes an agent has after it’s logged in so it can safely take real actions. * Predictive maintenance often delivers first, provable ROI: When agents c
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