EBSSI AI Quick Reference

A one-page cheat sheet of practical AI essentials — built from the EBSSI AI Consultation curriculum.

EBSSI

EBSSI AI Quick Reference

Practical AI skills for business, work, and lifelong learning

1. AI Foundations

  • What AI is: Software that learns patterns from data to generate text, images, predictions, and code.
  • LLM: Large Language Model — the engine behind tools like ChatGPT and Claude.
  • Prompt: The instruction you give an AI tool to get a result.
  • Token: A chunk of text the AI reads/writes; affects cost and length limits.
  • Hallucination: When AI confidently produces incorrect information — always verify.
  • Start simple: Pick one tool, try one real task, check the output, then expand.

2. Tool Selection at a Glance

  • ChatGPT: Versatile writing, coding, brainstorming, and general tasks.
  • Claude: Long documents, nuanced analysis, careful reasoning.
  • Copilot: Microsoft 365 workflows — Word, Excel, Outlook, Teams.
  • Gemini: Google ecosystem, web-grounded answers, Docs & Sheets.
  • Perplexity: Research with cited sources and follow-up questions.
  • Midjourney: High-quality AI image generation from text prompts.

3. The Prompt Framework

  • Role: Tell the AI who to act as (e.g., 'You are a marketing strategist').
  • Task: State the specific job (e.g., 'Write a 3-email onboarding sequence').
  • Context: Give background — audience, tone, constraints, examples.
  • Format: Specify the output shape — bullet list, table, paragraph, code.
  • Iterate: Refine with follow-ups; small tweaks often unlock better results.

4. Workflow Tips

  • Draft → Refine → Verify: Never ship the first draft; edit and fact-check every output.
  • Save reusable prompts: Build a personal library of prompts that work for your role.
  • Break tasks into steps: Complex jobs produce better results when split into smaller prompts.
  • Ask for alternatives: Request 2–3 options to compare and choose the strongest.
  • Specify length & tone: Explicit constraints prevent rambling and off-brand voice.

5. Responsible AI Use

  • Protect sensitive data: Never paste confidential, personal, or proprietary information.
  • Disclose AI assistance: Be transparent when AI helped create published content.
  • Verify before publishing: Check facts, quotes, numbers, and names independently.
  • Respect copyright: Don't ask AI to reproduce protected works or brand assets.
  • Keep a human in the loop: AI is a tool, not a decision-maker — you own the final output.
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