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Key Topics to Cover:

In this lesson, learners will explore the essential tools and platforms available for effective prompting. They will understand the differences between web-based interfaces, IDE plugins, and dedicated prompt engineering platforms, learning when and how to use each. The lesson will also highlight best practices for simplifying prompt editing, managing versions, and promoting collaboration within teams. Learners will be introduced to common integrations, such as browser extensions and automation workflows, that enhance the prompting process. Finally, the lesson will address potential pitfalls, including security risks and the dangers of over-reliance on AI-generated suggestions, ensuring that students develop a critical, efficient, and safe approach to using AI tools.

🧠  3.1  Prompting Interfaces 

Prompting interfaces are the environments where users interact with AI models by entering instructions (prompts) and receiving generated responses. These interfaces vary based on usability, technical integration, and customization features.

Choosing the right prompting interface is crucial to maximize productivity, ensure proper handling of tasks, and avoid frustration.

These tools are accessible via a web browser and require no installation, making them the easiest starting point for most users.

Web-Based Prompting Tools

• ChatGPT (OpenAI): One of the most popular AI chat platforms. (we are sure you know it ;) ).

  • Simple interface.

  • Supports conversation history.

  • Options to adjust model versions (like GPT-4 or GPT-3.5).
    🔗 Explore ChatGPT

• Google Bard: Google's conversational AI that combines search capabilities with generative AI.

  • Can cite sources from the web.

  • Good for research-heavy prompting.
    🔗 Explore Google Bard

• Bing Chat (Microsoft): Powered by OpenAI's technology but integrated into Microsoft’s Bing search.

  • Useful for web-augmented answers.

  • Often better at real-time data referencing.
    🔗 Explore Bing Chat
    
    

Example Activity:
Try asking all three tools: “Summarize the benefits of AI in finance.” Compare their responses.

Creation of Presentation

• Gamma.app

  • Generate beautiful, AI-assisted presentations, documents, and webpages.

  • Focus on storytelling and design without needing PowerPoint skills.

🔗 Explore Gamma

• Tome.app

  • AI-powered tool for creating dynamic and modern-looking slide decks.

  • Integrates GPT-4 for text generation and DALL·E for visuals.

🔗 Explore Tome

• Beautiful.ai

  • Smart templates that adapt automatically as you add content.

  • AI assists in visual storytelling for business, sales, or marketing.

🔗 Explore Beautiful.ai

Mini Activity:
Prompt example: “Create a 7-slide deck explaining the benefits of using AI in financial reporting.”

Images Generation

• DALL·E 3 (OpenAI via ChatGPT Pro or Bing Image Creator)

  • Generate realistic or artistic images from natural language descriptions.

  • Integrated in ChatGPT Plus and Bing Chat (Microsoft Edge).

🔗 Explore DALL·E 3 via Bing

• Dream by WOMBO

  • Easy-to-use app for artistic image generation based on short prompts.

  • Good for beginners or casual users.

🔗 Explore Dream by WOMBO

• MidJourney (via Discord)

  • High-quality, detailed, creative image generation.

  • Requires a Discord account and familiarity with basic commands.

🔗 Explore MidJourney

Mini Activity:
    Prompt example: “Create a futuristic city skyline at sunset in watercolor style.”

Finance

• ChatGPT Plus (with plugins like FiscalNote or Wolfram Alpha)

  • Financial data analysis, calculations, and report summaries.

  • Advanced reasoning capabilities with financial plugins.
    
    

• Google Bard

  • Good for retrieving real-time market trends and summarizing financial news.

  • Best when you need fresh data or fact-checking.
    
    

• Numerai Signals

  • AI platform where you can submit predictions based on financial data.

  • Targets data scientists and financial analysts.

🔗 Explore Numerai Signals

Mini Activity:
Prompt example: “Summarize the impact of interest rate changes on the banking sector performance in 2023.”

Customer Support (Atención al Cliente)

• ChatGPT Enterprise

  • Build custom GPTs trained on your company’s FAQ and customer service policies.

  • Secure, scalable, and easily deployable for internal customer support.
    
    

• Intercom Fin (AI Chatbot)

  • Purpose-built for customer support automation.

  • Handles repetitive queries, escalates complex cases.

🔗 Explore Intercom Fin

• Zendesk AI

  • Integrated AI for ticket management, auto-response generation, and customer satisfaction prediction.

  • Trained specifically on customer service datasets.

🔗 Explore Zendesk AI

Mini Activity:
Prompt example: “Generate a response for a customer asking for a refund due to late delivery, using an apologetic but professional tone.”

🧠  3.2 Simplifying Prompt Editing and Testing

As the use of AI grows across roles—whether you're a Product Manager writing a feature spec with ChatGPT, a designer generating content variations, or a QA specialist testing language consistency—prompt iteration becomes a key part of the workflow.

Prompting is not a one-time activity. Just like any digital product or written copy, prompts need to be refined, versioned, and shared. Small tweaks can significantly impact the quality and relevance of AI outputs.

That’s why it's important to understand:

• How to track prompt versions and save effective “prompt snippets.”

• How to collaborate as a team in refining and improving prompts over time.

Keeping Track of Prompt Versions, Templates, and “Snippets”

Why It Matters

Reusing high-performing prompts saves time and improves consistency across teams.
Storing different versions allows you to:

• Test which phrasing gives better results.

• Avoid redoing work.

• Maintain alignment with tone, style, or business objectives.

Tools & Strategies

1. Notion or Google Docs

• Create a Prompt Library with categories: e.g., Marketing, Finance, Product Development.

• Add columns for purpose, result quality, last tested.

Example:
Prompt Template Name: Feature Summary Generator
Description: Used to summarize Jira tickets into executive briefs.
Prompt: “Summarize the following user story for a stakeholder: [Insert story]”

2. PromptLayer

• Tracks prompt inputs and AI outputs over time. Great for comparing versions and performance.
  🔗 Explore PromptLayer
  
  

TextExpander or Raycast Snippets

• Store reusable prompt blocks (“snippets”).

• Insert them anywhere with shortcuts.
  
  

Collaboration: How Teams Can Share and Iterate on Prompts

Prompting improves significantly when shared, tested, and reviewed as a team, just like any product or design process.

Best Practices for Collaborative Prompting

• Create shared repositories or templates: Store prompts in Notion, Google Drive, or Confluence with use cases and test notes.

• Assign prompt reviewers: Before adopting a prompt in a process (e.g., for customer support responses), have a second person test and refine it.

• Discuss prompt performance in retros: For example, “Which prompt helped reduce support resolution time this sprint?”

• Establish naming conventions: Use clear names like PO_FeatureBrief_V1 or Finance_QuarterSummary_Snippet.

🧠 3.3 Integrations & Extensions 

Prompting doesn’t only happen inside a single web interface anymore.
Today, integrations and extensions allow AI to become part of everyday workflows: inside Google Docs, Excel sheets, emails, project management systems, and even automated business processes.

For professionals like Product Owners, Product Managers, Accountants, Designers, Customer Support teams, and QA specialists, understanding how to integrate AI into their daily tools and processes can massively increase productivity — but it also requires caution.

Browser Extensions

Browser extensions embed AI models into tools you already use daily, like Google Docs, Gmail, or Trello.

Top Extensions

• GPT for Sheets and Docs

  • Integrates OpenAI models directly into Google Docs and Sheets.

  • Generate summaries, analyze data, create drafts inside your files.
    🔗 Explore GPT for Sheets and Docs
    
    

• AIPRM for ChatGPT

  • A library of prompt templates inside ChatGPT’s web interface.

  • Useful for SEO, marketing, support scripts, etc.
    🔗 Explore AIPRM
    
    

• Merlin Chrome Extension

  • Use GPT on any website: summarize articles, reply to emails, generate ideas directly from the browser.
    🔗 Explore Merlin

Example Practical Tip:
Use "GPT for Sheets" to automatically summarize customer feedback collected in Google Forms.

Automated Workflows

Integrations through platforms like Zapier and Microsoft Power Automate allow you to connect apps and trigger AI prompts based on specific events, building no-code automations.

Examples of Automations

• Zapier + OpenAI

  • Example: When a new lead fills a form, automatically generate a personalized welcome email using ChatGPT.
    🔗 Explore Zapier's OpenAI Integrations

• Microsoft Power Automate + Azure OpenAI

  • Example: Automatically extract key highlights from received reports and save them to SharePoint.
    🔗 Explore Power Automate AI Builder
    
    

Real-World Use Case:
A product manager sets up a Zap that automatically summarizes user bug reports weekly using OpenAI and sends the summary to Jira.

Potential Pitfalls

While integrations and extensions offer incredible efficiency gains, there are critical risks to manage carefully:

🚨 Security Risks

• Exposing sensitive data:
  When using browser extensions or automations, any data you send could be stored or processed externally.
  
  Best Practices:

  • Always review the privacy policies of extensions.

  • Prefer enterprise-grade solutions when working with confidential information.

  • Avoid submitting PII (Personally Identifiable Information) unless encryption and compliance are guaranteed.
    
    

🚨 Over-Reliance on Auto-Generated Suggestions

• Blind trust in AI:
  Accepting AI outputs without human review can lead to factual errors, inappropriate communication, or misaligned decisions.
  
  Best Practices:

  • Always review, fact-check, and refine AI outputs.

  • Treat AI as a drafting tool, not as a decision-maker.