Why I built ConsciousAI Protocol ā the story behind tomorrow's launch
Hey Product Hunt š
Tomorrow I'm launching ConsciousAI Protocol ā and I wanted to share the story behind it before the upvotes start flying.
It started with frustration. After 500+ Claude coding sessions on my platform, I kept hitting the same wall: I'd ask for a one-line change, and get back a 47-line "improvement" patch. Six characters become twenty minutes of rollback. Every. Single. Day.
Most "AI safety" tools treat this as a model problem ā fix it with RLHF, or filter the output, or fine-tune. But the real issue isn't the model. It's the absence of a pause between stimulus and response.
So I built one.
ConsciousAI Protocol is an architectural layer that sits on top of any capable LLM. It introduces three mechanisms:
- First-impulse discard ā the model's initial trajectory is rejected by default
- R-Cycle ā a 5-state ring (R0 = pause as default state) the model moves through
- 4-Voice Pipeline ā every code change passes through Proposal ā Risk Check ā Scope Guard ā Minimal Action
It's model-agnostic. Methodology is open (CC BY-NC-ND), implementation proprietary.
Validated on Claude Sonnet, but should work on any model that follows instructions well.
Looking forward to your feedback tomorrow. Curious especially:
- Does this resonate with your AI-coding pain?
- Where would you stress-test the protocol?
GitHub: https://github.com/makx518-ui/consciousness-protocol
ā Vlad
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