Hey DEV community! 👋
I've been working on a project called Brainer, and I wanted to share what I'm building and get some feedback.
The problem
AI agents are getting incredibly capable, but using them to manage real business workflows is still complicated.
You can build individual agents, connect different AI tools, and automate specific tasks. But once multiple agents need to work together, things get messy.
Who assigns the tasks? How do you track what each agent is doing? What happens when something needs human approval?
What I'm building
Brainer is an AI agent orchestration platform designed to bring all of this into one place.
The idea is to make it easier to:
- Create and manage multiple AI agents.
- Assign goals and coordinate business tasks.
- Automate workflows across different tools.
- Monitor execution and track progress.
- Keep humans involved when important decisions need approval.
Instead of managing individual AI automations separately, Brainer aims to provide one place to oversee AI-powered business operations.
Who is it for?
I'm building Brainer primarily for founders, indie hackers, small businesses, and teams that want AI agents to take care of repetitive work.
The use cases I'm exploring include marketing operations, research, content workflows, and other recurring business tasks.
I'd love some feedback
I'm especially interested in hearing from developers who have experimented with multi-agent systems.
- What's the biggest challenge you've encountered when coordinating multiple AI agents?
- Do you prefer fully autonomous agents or workflows with human approvals?
- What would make an AI agent orchestration platform genuinely useful to you?
You can check out the project here:
Brainer — AI agent orchestration platform
It's still early, and I'd appreciate any suggestions or constructive criticism.
Thanks for reading! 🚀
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