SA

SAFi, a Governance Engine for LLMs

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SAFi, a Governance Engine for LLMs

I’ve spent the last year building SAFi, an open-source cognitive architecture that wraps around AI models (GPT, Claude, etc.) to enforce alignment with human values. Safi is a "System 2" architecture inspired by classical philosophy. It separates the generation from the decision: The Intellect: proposes a draft. The Will: decides to block or approve the drafts. The Conscience: audits the drafts based on set core values The Spirit: An EMA (Exponential Moving Average) vector that tracks "Ethical Drift" over time and injects course-correction into the context window. Feedback is welcome!

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, model, models · Missing: mac, agents, macos
86%86% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersIH features products with proven revenue · Strong signals: para · Missing: supports, reddit linkedin, podcasting
46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

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