Officely AI

Any Process to AI with All LLM Models

162 followers

Any Process to AI with All LLM Models

162 followers

At Officely AI, we transform any process into an AI-driven operation with our innovative Team AI Builder. Unlike traditional models that rely on a single AI agent, our platform utilizes a team of specialized AI agents—each with unique personalities, objectives, and permissions, using models from GPT to Claude and LLAMA available on Hugging Face. This setup enhances problem-solving accuracy and reliability.

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Launch tags:

Messaging•Artificial Intelligence•Bots

Launch Team / Built With

Roy Nativ

Officely AI

Maker

📌

Hi, nice to meet you! I'm Roy Nativ, Founder of Officely AI. At Officely AI, we transform any process into an AI-driven operation with our innovative Team AI Builder. Unlike traditional models that rely on a single AI agent, our platform utilizes a team of specialized AI agents—each with unique personalities, objectives, and permissions, using models from GPT to Claude and LLAMA available on Hugging Face. This setup enhances problem-solving accuracy and reliability. Our AI agents also communicate dynamically, sharing insights to deliver the most effective responses quickly. This collaborative approach is crucial for providing finely-tuned, contextually appropriate solutions. I’m here and eager to discuss how Officely AI can transform your business operations and to answer any questions you might have about getting started!

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1yr ago

Kshitij Mishra

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@roy_nativ congrats for the launch mate! keep it up! 😎🔥

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11mo ago

Roy Nativ

Officely AI

Maker

@kshitij_mishra4 thanks! Appreciate 🙏🏻

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11mo ago

Ghost Kitty

suco

Comment Deleted

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11mo ago

Roy Nativ

Officely AI

Maker

@zulkarnaim thanks! Appreciate 💚🙏🏻

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11mo ago

Ghost Kitty

suco

Comment Deleted

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11mo ago

Daniel H.

I came across this through an ad and gotta say, looks pretty cool but I’m wondering, how does the team AI thing actually work in real time, like if two agents disagree on a solution what happens then, andalso, will it make it more expensive to use multiple models instead of one, just curious about the practical side of it instead of all the big promises

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11mo ago

Roy Nativ

Officely AI

Maker

@codecrafteddev I’m glad you asked! A language model has many issues in a business context (for example, hallucinations, max token limitations). The right way to manage this is to split the task among several different agents. One agent based on GPT formulates search queries for RAG, another agent based on Claude crafts the response, and then another agent, based on a different model, verifies the answer and assigns a score. Each agent has its own role. The customer feels like they’re interacting with a single agent, but behind the scenes, there’s an entire team at work. This approach also helps reduce costs by allowing the use of a cheaper model in certain cases

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11mo ago

Roy Nativ

Officely AI

Maker

@codecrafteddev https://youtu.be/573AFURU4EU?si=...

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11mo ago