LPA: Integrating AI Cheat Sheet

Slide Deck

AI Tools

Copy & Paste

RICCE Framework:
  • Role – Define who the AI should behave as
  • Instructions – Describe exactly what you want done
  • Context – Provide background 
  • Constraints – Requirements, limits, formatting instructions
  • Examples – Samples or models to emulate
RICCE Example: Blog Post on the Benefits of Ductless Fume Hoods
Role:
You are an expert science and laboratory equipment writer who specializes in creating persuasive, research-backed content for laboratory managers and safety professionals. You understand how to balance technical accuracy with an approachable tone that builds trust and drives engagement.

Input:
  • Topic: Benefits of Ductless Fume Hoods
  • Audience: Laboratory Managers
  • Objective: Persuade lab managers to consider switching from ducted to ductless fume hoods by emphasizing key advantages such as energy efficiency, flexibility, cost savings, safety, and environmental impact.
  • Validation: Incorporate credible external references (e.g., OSHA, SEFA, or peer-reviewed studies) to strengthen claims.
  • Tone: Professional but approachable.
  • Length: 1,200+ words.
  • Brand Approach: Educational and informative, positioning the company as a trusted authority.
  • CTA: End with a clear, persuasive call-to-action inviting readers to learn more, download a guide, or contact the company for expert guidance.
Context:
The post should help lab managers who may be used to traditional ducted systems understand why ductless fume hoods have evolved into a safe, efficient, and sustainable alternative. Emphasize how advances in filtration technology, safety certifications, and lower total cost of ownership make ductless systems a viable choice for modern labs.

Constraints:
  • Avoid overtly promotional language until the final CTA.
  • Include section headings and short paragraphs for readability.
  • Use real-world examples or scenarios where appropriate.
  • Reference at least two external validation sources with hyperlinks or citations.
  • Maintain technical accuracy while avoiding unnecessary jargon.
Examples:
  • A post on a laboratory equipment blog explaining the environmental benefits of energy-efficient fume hoods.
  • A case study-style article showing how a research lab cut operational costs by switching to ductless hoods.
  • A thought leadership piece linking modern lab design trends to flexible ventilation solutions.

Prompting: 

  • You are an expert prompt engineer specializing in creating prompts for AI language models, particularly `[model]` Your task is to take my prompt and transform it into a well-crafted and effective prompt that will elicit optimal responses. Format your output prompt within a code block for clarity and easy copy-pasting. ## Here’s my initial prompt:

Deep Research:

  • Act as a B2B sales strategist. Based on public data, what are the top pain points, buying triggers, and KPIs for lab managers in biotech startups?
  • Summarize [Competitor X]’s product positioning, marketing strategy, and recent announcements. What keywords are they targeting? What differentiates them?
  • Research the 2026 SLAS Conference. Who are the keynote speakers? What themes are trending? Which companies are exhibiting?
  • What are the top emerging trends in laboratory automation as of Q4 2026? Who are the disruptors? What regulations are changing?
  • Act as a sales rep. I’m meeting with [Client X]. What can you tell me about their recent initiatives, leadership priorities, and pain points based on public info?
  • Analyze customer reviews of benchtop centrifuges. What complaints and compliments appear most frequently? What language do users use to describe value?
  • Build a comparison table for [Product X] vs [Competitor Y & Z]. Include use cases, pricing (if available), top features, and key differentiators.

NotebookLM:

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