Field notes
Notes from the work.
What we learn building AI in Arabic and English: what shipped, what broke, what we measured, and what we would do differently. Every note follows our evidence policy.
∴Latest notes
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Governance
SDAIA's AI risk management framework: what it changes on a real project
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Arabic language
Arabic language models and sovereign AI: what Saudi enterprises should actually decide
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Governance
SDAIA's AI ethics principles: a working guide for Saudi enterprises
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Strategy
AI and the Saudi workforce: which work changes first
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Strategy
Deploying AI in Saudi Arabia: the real challenges after the demo
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Agents
Bots that work the night shift: what Grok Bot, Muse and Dots mean for SMEs
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Governance
The ethics forum came to Riyadh: agents, accountability and the off switch
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Strategy
AI factories at national scale: what HUMAIN's plans change for builders
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Strategy
After AI Week: closing the adoption gap for Saudi SMEs
∴Older notes being rewritten
We are republishing the notes worth keeping to the standard in our evidence policy: sourced, dated, and written by the people who built the work. Each title below returns as a full note once it passes that review.
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Governance
PDPL and NCA: building an AI system your legal team will approve
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Arabic language
Arabic as a first language: what bilingual AI actually requires
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Retrieval
Answers from your own documents: designing Arabic retrieval
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Evaluation
Why AI stops at the demo, and what gets it to production
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Strategy
Readiness before build: an honest look at where to start
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Governance
Hosted or self-hosted models: deciding by data, language and cost
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Agents
When one agent is not enough
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Agents
Chat that answers, agents that finish: choosing between them
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Strategy
The people side of AI adoption
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Evaluation
Release discipline for AI: evaluation, canaries and gates
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Arabic language
Arabic customer-service agents: what works and what does not
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Agents
الذكاء الاصطناعي الوكيل: دليل عملي لصاحب القرار
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Governance
حوكمة الذكاء الاصطناعي وأمنه: ما يحتاج المسؤول التنفيذي إلى معرفته
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Evaluation
Measuring an AI workflow before and after
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Partnerships
Why companies with a customer base are AI's natural channel
No notes in this category yet.