The LearnAIR DIRECT prompting methodology is a simple, repeatable structure for talking to Large Language Models (LLMs) so you get clearer, more accurate, and more useful responses. Since you are talking to a machine with such abundance of information, a DIRECT prompt helps narrow the aperture so the LLM becomes a reliable thinking partner instead of a generic answer machine.
What are you Doing? Simply describe your task at hand.
- Core function? (Marketing, Training, Sales, Ops, Support)
- Daily actions? (Analyze, Draft, Plan, Automate)
What information do you need to give (Sources of truth)?
- Data sources? (CRM, spreadsheets, knowledge bases, company handbook, legal or policy docs, FAQs doc, style guides, etc.)
- Key constraints? (compliance, policies, limits)
Define the perspective you’d like your answer to come from.
- Job title? (Specialist, Manager, CTO, Strategist)
- 3–4 strengths? (creative, data-driven, empathetic)
- Expertise in a particular task?
What is the desired outcome?
- Deliverables? (reports, campaigns, training plans) Success metrics? (KPIs, deadlines, quality standards)
What is unique about this situation? This is information that you as the human knows, but your AI does not.
- Industry or audience focus?
How should the answer sound?
- Brand adjectives? (bold, friendly, precise, visionary)
- Preferred format? (bullets, tables, outlines)
❌ Bad: 'Tell me news about AI-literacy
✅ Better (DIRECT):
D: Summarize weekly AI literacy news
I: Search for articles from reputable sources that focus on adult learning and AI adoption. Do not use Reddit as a source.
R: Act as a 20-year educational and AI research analyst
E: A document that can be shared with the team
C: This is for an internal meeting that discusses the market trends
T: Clear, professional tone with a short intro paragraph and 5–7 summary bullets
