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Cool concept. The multi-agent approach with role-specific AI employees (CEO, CTO, CMO) is interesting — reminds me of CrewAI but more startup-focused.
by vahid786 7mo ago
Cool concept. The multi-agent approach with role-specific AI employees (CEO, CTO, CMO) is interesting — reminds me of CrewAI but more startup-focused.
A few thoughts:
- How do the agents handle disagreements? For example, if the CTO agent wants to build a monolith but the CEO agent pushes for microservices based on scaling assumptions. Is there a conflict resolution
mechanism?
- The "custom AI employees" idea has legs. Different startups need different roles — a SaaS company needs a DevOps agent, an e-commerce one needs a supply chain agent.
- For day 1 this is solid. Architecture suggestion: consider adding a shared context/memory layer so agents can reference what other agents decided. Without that, each agent works in a silo.
Good luck with the project.
- yash_chudasama 7mo agoThanks! Really appreciate the thoughtful feedback. I’m thinking of handling this through separation of concerns + domain expertise. Each AI employee would have a defined domain of authority. When disagreements happen, the system can score proposals based on expertise weighting, meaning the opinion of the domain expert carries more weight in that area. For example, if it's an architecture decision, the CTO's score would dominate, while the CEO focuses more on strategy and constraints rather than the implementation details. It’s still very early (literally day 1 ), so feedback like this is really helpful in shaping the architecture. Thanks again for taking the time to write this.