Recently, I built something I call a “project brain” using Google AI Studio. It helps me manage end to end operations for engineering projects across different states in India, work that would normally require a team of 4–5 people.
The core idea is simple:
Instead of one assistant, I created multiple “personalities” (basically structured prompts in back end), each responsible for a specific role in a project.
Here’s how it works:
• Mentor – explains the project in simple terms, highlights hidden risks, points out gaps in thinking, and prevents premature decisions, he literally blocks me from sending quotations before I collect missing clarifications.
• Purchase – compares vendor quotations and helps identify the best options, goes through terms and scope of work and make sure no one fools me.
• Finance – calculates margins and flags where I might lose money.
• Site Manager – anticipates on ground conditions and execution challenges so I can consider them in advance.
• Admin – keeps things structured and organized. Manages dates, teams, pending clarifications, finalized decisions.
All of them operate together once I input something like a bill of quantities or customer inquiry.
There’s also a dashboard layer:
• Tracks decisions made
• Stores clarifications required
• Maintains project memory
• Allows exporting everything as JSON
It works way better than I expected, it genuinely feels like I’m managing projects with a full team.
Now I’m trying to push this further.
For those who’ve worked with AI systems, multi-agent setups, or workflow automation:
• Is there a more efficient architecture for something like this?
• Any features you think would significantly improve it?
• Better ways to structure personalities beyond prompt engineering?
• Any tools/platforms that might handle this more robustly than what I’ve built?
Would love to hear how you’d approach this or what you’d improve.
Thanks 🙏
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