Officely AI

Officely AI

Any Process to AI with All LLM Models

163 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 Team / Built With
Famulor AI
Famulor AI
One agent, all channels: phone, web & WhatsApp AI
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What do you think? …

Roy Nativ
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!
Kshitij Mishra
@roy_nativ congrats for the launch mate! keep it up! 😎🔥
Roy Nativ
@kshitij_mishra4 thanks! Appreciate 🙏🏻
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
Roy Nativ
@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
Tony Han
Congrats on the launch @roy_nativ and team! Love how you built a pretty sophisticated way for piece to build a single agent workflow and multi-agent system. And you get to integrate a lot of data into the agent.
Roy Nativ
@tonyhanded thanks Tony!
Star Boat
So cool! congrats on your launch Officely AI Teams! can't wait to try this app soon. :-)
Roy Nativ
@star_boat thanks! Appreciate 💚
Keyana Sapp
Officely AI sounds impressive—especially the concept of using a team of specialized AI agents for more accurate and reliable problem-solving. How does the platform manage the collaboration and communication between different AI agents to ensure consistent and contextually accurate outputs?
Roy Nativ
@keyanasapp Hey Keyana, Thanks for the kind words! Collaboration between our AI agents is key to ensuring consistent and contextually accurate outputs. Each agent has a specialized role, and we manage their collaboration by tagging the results of each agent’s work with @, so the next agent in line knows exactly where to pick up. For instance, one agent might handle search queries, tagged as @search, while another agent formulates the response based on the results, tagged as @response. Finally, a verification agent reviews and scores the output, tagged as @verify, ensuring consistency and accuracy. This structured communication allows our AI team to work seamlessly together, delivering reliable and precise solutions every time. Best, Roy
William Joseph Parker
How easy is it to integrate with existing platforms like Intercom or Zendesk?
Roy Nativ
@williamjosephparker easy! It’s start with button - answer this ticket for me” and we formulate answer on text box - https://www.zendesk.com/marketpl...
Samuel Parker
Congrats on the launch, Roy! 🎉 The concept of using a team of AI agents with different personalities and goals sounds super intriguing. I love the idea of them working together to solve problems more effectively. 😀
Roy Nativ
@samuelparker thanks! Appreciate 💚
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