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We built an AI shopping agent that lets you buy anything on Amazon through a conversation.
It's live right now.
Go try it → shop.fast.xyz
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Fast
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Fast
@fastxyz
infrastructure for AI native work, by @Pi2_Labs
- as Fast grows, keeping users safe becomes even more important. glad to have @ChainPatrol supporting that effort as we scale 🤝Proudly protecting @fastxyz 🤝 In the fast-moving world of AI agents and crypto payments, trust and security are critical. By actively monitoring to find and takedown scams, fake account and impersonators — We help keep the ecosystem safe so builders and agents can operate with
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The agent economy is in full swing 🔥⚡️ and @fastxyz has once again unveiled a fantastic new skill for agents, namely 𝐒𝐤𝐢𝐥𝐥 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐞𝐫 – a tool that: → 𝑇𝑒𝑠𝑡𝑠 𝑎𝑔𝑒𝑛𝑡 𝑠𝑘𝑖𝑙𝑙𝑠 → 𝐶ℎ𝑒𝑐𝑘𝑠 ℎ𝑜𝑤 𝑑𝑖𝑓𝑓𝑒𝑟𝑒𝑛𝑡 𝐿𝐿𝑀𝑠 𝑎𝑐𝑡𝑢𝑎𝑙𝑙𝑦 𝑢𝑠𝑒 - Fast reposted
The builders I respect in this community have all arrived at the same realization: Getting great AI output isn't prompting skill. It's staying organized aka "plan mode", working through a structure, not just dumping the problem into chat and hoping for the best. normalpowers - Fast reposted
Observation after 1 week of running normalpowers on research and planning tasks: The core failure mode in AI-assisted knowledge work isn't model quality. LLMs are optimized to answer, not to structure inquiry first. Give a model an unstructured problem, get unstructured output.
- Fast reposted"Told you to first understand the problem well, and then answer." Each time I blamed the model ... "next version will be smarter". Truth is that good communication skills and asking the right questions are often more effective than intelligence alone. Both for humans and for
- "You wasted all this time and tokens on nothing." every AI user has thought this. the problem isn't prompting, it's that AI answers before it thinks. you get a polished answer to the wrong question. every time. normalpowers fixes the front of the loop. free, open source. think
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