Google’s Agent Skills repo is a quiet attack on context bloat
Google’s new official Agent Skills repository gives agents compact, task-specific instructions for Cloud products instead of stuffing whole documentation sites into context.
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Everything we’ve published under MCP so far.
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6 Useful Machines posts on MCP
MCP readers are already filtering for a specific AI topic, which makes this archive a useful audience signal for sponsors and repeat readers.
Anthropic's MCP admits that AI agents need standardized plumbing to survive
The Model Context Protocol won’t magically fix unreliable agents, but it might replace the nightmare of bespoke integrations with a shared standard for connecting AI to your data.
Deep research only works if your AI isn't treating the entire internet like a junk drawer
OpenAI’s deep research tool lets you restrict sources and interrupt runs. The real lesson isn't that AI can summarize the web, but that research is useless if you can't defend the citations later.
MCP gives AI workflows a front door instead of a hole in the fence
Anthropic's Model Context Protocol is technical plumbing that gives AI assistants structured access to your company's data, proving that safely opening the front door is better than throwing agents into the corporate swamp.
MCP is the boring connector layer agents needed before everyone built the same adapter pile twice
MCP gives AI tools a standard way to connect to data and systems, replacing bespoke integration nightmares with a unified, boring architecture.
The best AI automation still knows when to bother a human
Zapier's look at the future of workflow automation emphasizes human-in-the-loop systems, proving that the best AI knows when to step back.