@AlmustyFX

AI Agents • Automation • Open Source AI Practical insights, tools & experiments in AI. DM for Collaborations

 Earth
Joined February 2020
  • Tweets16.7K
  • Following37K
  • Followers45K
584Media
Almusty retweeted
Zilot
@Zilot0421h
As a man, you can’t expect to be valued just because you exist. No love for a man without value.
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Almusty retweeted
Almusty
@AlmustyFX2h
Before integrating an AI API, check more than the advertised model capabilities. Look at rate limits, latency, error handling, data policies, pricing and version changes. A successful prototype proves that something can work. A dependable integration needs a plan for operating it.
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Almusty retweeted
Almusty
@AlmustyFX3h
An API is one way software systems communicate. For AI applications, APIs can connect a model to a website, internal database, business process or another service. The interesting part is not the connection itself. It’s the useful workflow that connection makes possible.
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Before integrating an AI API, check more than the advertised model capabilities. Look at rate limits, latency, error handling, data policies, pricing and version changes. A successful prototype proves that something can work. A dependable integration needs a plan for operating it.
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Almusty retweeted
Almusty
@AlmustyFX3h
When testing an AI product, I would use a task I already understand. That makes it easier to judge whether the output is correct, useful and worth the cost. If you cannot evaluate the result, it’s difficult to know whether the tool is actually helping.
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Almusty retweeted
Almusty
@AlmustyFX4h
If you could automate one part of running a small business, what would it be? Lead follow-up, customer support, invoicing, reporting, scheduling or something else? I’d start with a workflow where mistakes can be detected before they become expensive.
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Almusty retweeted
Almusty
@AlmustyFX4h
If an AI workflow fails, don’t immediately replace the model. Check the inputs, instructions, tools, permissions and evaluation process. Sometimes the model is the problem. Sometimes the surrounding system is. Good debugging begins with evidence.
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Almusty retweeted
Almusty
@AlmustyFX5h
Not every AI use case needs an agent. For document classification, a simpler model or deterministic rules may be enough. For multi-step research, tool use and adaptive decisions may justify an agent. Match the architecture to the complexity of the problem.
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Almusty retweeted
Almusty
@AlmustyFX6h
A useful way to prioritize automation ideas is to compare frequency, time spent, error cost and implementation difficulty. A task that happens every day and takes an hour may deserve attention before a complicated task that happens once a month. Start where the potential benefit is clear.
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RT @Zilot042: Me My friends.
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An API is one way software systems communicate. For AI applications, APIs can connect a model to a website, internal database, business process or another service. The interesting part is not the connection itself. It’s the useful workflow that connection makes possible.
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Almusty retweeted
Zilot
@Zilot0425h
The best years of my life are still ahead of me. There’s still so much to build, learn, experience, and become. I’m not in a hurry. I’m just getting started.
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When testing an AI product, I would use a task I already understand. That makes it easier to judge whether the output is correct, useful and worth the cost. If you cannot evaluate the result, it’s difficult to know whether the tool is actually helping.
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Using Claude in the US is the tutorial level 🎮 Open laptop, type, done Devs in China have to clear a whole chain of side quests before they can even use it So when someone over there tells me they're on it every day and it never cuts out They're not a user, they're a speedrunner 🏆
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Almusty retweeted
Fayma
@fayma_217h
You can’t rush greatness
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Almusty retweeted
MORI⚡️
@mortezazedd7h
🌴Good Morning My Family🌞 Can i get GN guys? an AI agent can search the web for a warehouse all day. what it can't do is walk inside and actually map it @vangrid_io is now connecting AI tools like Claude and Cursor to its spatial data network. an agent can search existing captures, or request a brand new 3D model of a specific place, and a real person goes there to do the physical capture so the agent handles the thinking and a human handles the walking I think this is one of the more practical ways to connect AI software to the real world
🤝 Paid partnership · 🤖 Made with AI
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spotted a rare 2003 software engineer in the wild got hired for knowing how to unzip a file director now eight figure net worth, lake house, never even had to sweat a layoff round thinks ai is a fun little tool my parents met guys like him at a bbq in 2009 and that's why i'm debugging at 5am on a sunday 🦖
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If you could automate one part of running a small business, what would it be? Lead follow-up, customer support, invoicing, reporting, scheduling or something else? I’d start with a workflow where mistakes can be detected before they become expensive.
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516
If an AI workflow fails, don’t immediately replace the model. Check the inputs, instructions, tools, permissions and evaluation process. Sometimes the model is the problem. Sometimes the surrounding system is. Good debugging begins with evidence.
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7
18
698
Not every AI use case needs an agent. For document classification, a simpler model or deterministic rules may be enough. For multi-step research, tool use and adaptive decisions may justify an agent. Match the architecture to the complexity of the problem.
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