TL;DR: Quick answers to common questions about using GenAI in the public sector.

FAQ

Which model should I use for a given task?

It depends on the task. Use the Model Guide cheat-sheet:

  • Complex policy analysis or speech drafting → Claude Opus or DeepSeek V4 Pro
  • Visual data / charts / maps → Gemini 3.1 Pro
  • Large document processing → Kimi K2.6
  • Routine admin / email drafting → DeepSeek V4 Flash
  • Malay language or regional drafting → GLM 5.1

How do I know if the AI output is trustworthy?

Run everything through the Executive Safety Checklist:

  1. Is the claim verifiable against a trusted source?
  2. Is the output overly generic or does it respect regional realities?
  3. Does it display "blind confidence" (sounds authoritative but may be wrong)?
  4. Did I provide enough background context?
  5. Would I sign my name to this?

Never publish or act on AI output without these checks.

Can I upload sensitive or classified government documents to LibreChat?

Check your ministry's data classification policy first. As a general rule:

  • General policy briefs and public reports — generally safe
  • Personally identifiable information (PII) — remove or anonymize before uploading
  • Classified or restricted documents — consult your IT security team and refer to the OECD AI in Public Audit Report for governance frameworks

When in doubt, use anonymized summaries instead of raw documents.

Do I need technical or coding skills?

No. The entire guide is built around plain English prompting. The two methods in Prompting — Bracket Labeling and Think-First — require nothing more than clear writing.

What if the AI makes a mistake?

Accountability always stays with you. AI is a drafting and brainstorming tool, not a decision-maker. The Safety Checklist is designed to catch mistakes before they reach a minister or the public. Always:

  • Verify specific statistics against primary sources (FAO, AFSIS, ministry data)
  • Cross-check policy recommendations against existing frameworks
  • Keep a record of prompts and outputs for auditability

How much time do I need to invest?

The 4-Week Lessons requires about 2 hours per week — pairing structured courses with hands-on practice. After that, the daily workflow takes about 5 minutes per day to integrate AI into your morning routine.

Where can I learn more beyond this guide?

Check the Library for OECD reports, Anthropic's context engineering guide, and global AI adoption indexes. The Courses page lists free certificate programs from InnovateUS, DeepLearning.AI, UNESCO, and Google.