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I had great fun digging through how this $3.5B company wrote its colossal prompt (24k tokens): https://github.com/asgeirtj/syst...
Here's my writeup on what you can learn from it to apply to your own no-code AI agents on MindPal: https://mindpal.space/blog/claud...
@OpenAI just dropped a 34-page guide on how to build intelligent AI agents. It s full of great ideas but could be hard to navigate if you're non-technical. I made a simple, no-code breakdown of only what you need to know here and how to apply these ideas into the no-code AI agents & multi-agent workflows you build on @MindPal here: https://mindpal.space/blog/opena...
If you're building or using AI agents, connecting them to the tools they need to actually do stuff is critical. MCP (Model Context Protocol) provides a fast & easy way to enable that.
I've spent weeks testing the main players offering hosted MCP servers: @Zapier MCP , @Make MCP, Composio MCP, and @Apify Actor MCP.
Hey devs
I'm currently working on an LLM agent project integrating with Gmail, Slack, databases...
Every new API integration feels like building everything from scratch
I recently explored something called MCPHubs, which standardizes how agents connect to APIs, files, and databases. It's like cutting down tons of repetitive work.
Now I'm curious
I've seen amazing use cases emerge from combining MindPal + MCPs think appointment-booking chatbots, automated form-filling, or even AI-generated reports saved directly to Google Docs!
But figuring out the exact steps can sometimes slow things down, esp. for people who are new to MCP.
