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AI system · personal flagship

Halal-Rizq

An AI decision-support system that answers one question with rigor: is this income halal? It screens jobs, business ideas, and freelance clients against a fully-cited Islamic-jurisprudence knowledge base — permissibility first, opportunity second.

  • Claude Agent Skills
  • Structured Knowledge Base
  • Prompt Architecture
  • Token Optimization
halal-rizq — demo session

##How it works — three gates

Gate 1 — Jobs

Two stages: Islamic permissibility first (employer business, the candidate's role, complicity in harm), then career fit scoring. A great salary never overrides stage 1.

Gate 2 — Business Ideas

Fiqh-driven intake: ownership and qabd, riba exposure, gharar (uncertainty), honesty of the offer. Rules per component against a 14-axis catalog of ~45 business models.

Gate 3 — Freelance Clients

Rules the engagement — client × deliverable — on the assisting-in-sin ladder, plus contract and platform fiqh. Maintains a Green Client List of cleared engagements.

opportunity in
route to gate
fiqh screening
cited sources
verdict + score
ledger grows

##Engineered for efficiency

Religious rigor is expensive in tokens if you do it naively. Halal-Rizq is architected so depth never costs more than it must.

Progressive disclosure

The skill loads only the gate the question needs. A job check never pays the token cost of the business catalog or client fiqh.

Cited ledger, growing once

Every ruling cites Quran, hadith, or verified fatwa. Once researched, a ruling joins a persistent ledger — the same question never costs research tokens twice.

14-axis classification

~45 business models pre-classified along 14 axes. New ideas map onto existing rulings instead of triggering fresh analysis from scratch.

Integrity rules

The system refuses to soften verdicts. Permissibility is evaluated before opportunity, and sources are mandatory — no vibes-based fiqh.

$echo "built end-to-end: knowledge architecture, gate logic, integrity rules"

ask my AI about this project