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Maker
📌
👋 Hi Product Hunt!
A moths ago, I realized something that completely changed how I think about AI.
Businesses weren't asking for another chatbot.
They were asking, *"Can AI actually do the work?"*
As a technical founder, I've spent over a decade building software and automation systems for companies. Every business had the same problem: too many repetitive tasks, too many disconnected tools, and not enough people to keep everything moving.
AI had incredible potential, but most products stopped at conversation.
I wanted to build something different.
Oido Studio lets you hire AI employees instead of just chatting with AI. Each AI employee can have a role, use different models, connect to your existing tools, collaborate with other AI employees, and complete real business tasks from processing invoices to handling support and running internal workflows.
One thing I cared deeply about was avoiding vendor lock in. Your business should choose the best AI model for the job, not the one a platform forces you to use.
Oido Studio is still evolving, and this launch is just the beginning. Every conversation and every piece of feedback helps shape what comes next.
I'd love to know:
**If you could hire one AI employee today, what would you ask it to do first?**
Thanks so much for checking out Oido Studio and supporting independent builders. I can't wait to hear what you think. 🚀
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Hiring an AI employee is a bold way to frame the product.
Curious—what moment makes people go from seeing it as another AI tool to actually treating it like a teammate they can rely on?
For us, the shift happens when the AI stops being something you chat with and starts owning a real responsibility.
Oido Studio doesn't provide its own LLM. Instead, it lets you connect to any provider and choose the best model for each task. You might use a fast, inexpensive model for customer support, a reasoning model for contract analysis, and another model for coding. That gives you much lower costs and far more flexibility than being locked into a single provider.
The other difference is that you're not just picking a model. You build an AI employee by combining models, skills, and tools. Once an agent has access to the right knowledge, the right tools, and clear responsibilities, it can reliably perform a specific job instead of simply answering prompts.
That's when it starts feeling less like an AI tool and more like a teammate.
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Tried setting up a quick workflow automation and was surprised how fast the agent picked up on the logic without much hand-holding. Pricing feels reasonable for the depth you get.
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Plugged a messy spreadsheet workflow into Oido Studio and watched it quietly handle the steps I usually dread. The automation actually adapts when fields change, which caught me off guard.
Hiring an AI employee is a bold way to frame the product.
Curious—what moment makes people go from seeing it as another AI tool to actually treating it like a teammate they can rely on?
@aryan787544
That's a great question.
For us, the shift happens when the AI stops being something you chat with and starts owning a real responsibility.
Oido Studio doesn't provide its own LLM. Instead, it lets you connect to any provider and choose the best model for each task. You might use a fast, inexpensive model for customer support, a reasoning model for contract analysis, and another model for coding. That gives you much lower costs and far more flexibility than being locked into a single provider.
The other difference is that you're not just picking a model. You build an AI employee by combining models, skills, and tools. Once an agent has access to the right knowledge, the right tools, and clear responsibilities, it can reliably perform a specific job instead of simply answering prompts.
That's when it starts feeling less like an AI tool and more like a teammate.
Tried setting up a quick workflow automation and was surprised how fast the agent picked up on the logic without much hand-holding. Pricing feels reasonable for the depth you get.
Plugged a messy spreadsheet workflow into Oido Studio and watched it quietly handle the steps I usually dread. The automation actually adapts when fields change, which caught me off guard.