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ConsciousAI Protocol
System 2 for AI — reducing LLM reactivity through pause
ConsciousAI Protocol makes LLMs less reactive by embedding a consciousness layer at the system prompt level. Core premise: first impulse is noise — discard it. Three mechanisms: VL-Framework (9-layer identity architecture), R-Cycle (5 consciousness states, pause is default), 4-Voice Pipeline (Proposal, Risk Check, Scope Guard, Minimal Action). Validated across 500+ production sessions on Claude Sonnet. Model-agnostic. Open methodology.Telegram: @quantarionai
I built this after 500+ production coding sessions where LLMs kept breaking my code in predictable ways: scope creep, hallucinated modifications, template-driven responses. Every LLM is System 1 — fast, reactive. None have System 2 — deliberate, reflective. So I built one. The 4-Voice Pipeline alone eliminated most code-breaking edits. Before: ask for 1 change, get 5 "improvements." After: one str_replace, one parameter, done.
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About ConsciousAI Protocol on Product Hunt
“System 2 for AI — reducing LLM reactivity through pause”
ConsciousAI Protocol was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #154 on the daily leaderboard. ConsciousAI Protocol makes LLMs less reactive by embedding a consciousness layer at the system prompt level. Core premise: first impulse is noise — discard it. Three mechanisms: VL-Framework (9-layer identity architecture), R-Cycle (5 consciousness states, pause is default), 4-Voice Pipeline (Proposal, Risk Check, Scope Guard, Minimal Action). Validated across 500+ production sessions on Claude Sonnet. Model-agnostic. Open methodology.Telegram: @quantarionai
ConsciousAI Protocol was featured in Open Source (68.4k followers), Developer Tools (511.7k followers) and Artificial Intelligence (467.3k followers) on Product Hunt. Together, these topics include over 168.4k products, making this a competitive space to launch in.
Who hunted ConsciousAI Protocol?
ConsciousAI Protocol was hunted by Vlad M.. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Vlad M.