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Mastering ChatGPT – Custom GPTs, Advanced Tools, and Power-User Workflows

Lesson 2: Memory, Multimodal Features, data analysis / file analysis tools, and web search / browsing

Lesson Objectives

By the end of this lesson, students should be able to:

  • Use and manage ChatGPT's memory feature with full privacy awareness
  • Apply ChatGPT's vision capability for image analysis tasks
  • Use voice mode where available
  • Use data analysis / file analysis tools for file-based work
  • Apply web search / browsing to tasks requiring current web information

Lesson Content

**Feature Availability Notice**: Features in this lesson generally require ChatGPT Plus. Availability, feature names, and interfaces change – verify current capabilities at openai.com.

ChatGPT Memory.

ChatGPT's memory feature (where enabled) allows ChatGPT to remember information from previous conversations – your role, preferences, recurring context – so you do not need to re-enter it every session.

What memory can store (examples):

  • Your professional role and industry
  • Your preferred communication style
  • Topics you are currently working on
  • Your name and relevant personal context

Managing memory – critical privacy steps.

Because memory persists across sessions, it requires active management:

  1. Review what ChatGPT has remembered: Go to Settings > Personalization > Memory (or current equivalent). Review all stored memories.
  2. Delete memories that are inaccurate or should not persist: ChatGPT stores what it infers – some inferences may be wrong or include information you did not intend to save.
  3. Disable memory entirely if you prefer: Memory can be turned off in account settings.
  4. Use Temporary Chat for sensitive sessions: Temporary Chat mode does not use or create memories – use it for any session containing sensitive topics.

Never intentionally tell ChatGPT sensitive information for the purpose of saving it to memory (financial account details, health information, etc.).

ChatGPT Vision – multimodal image analysis.

Where available, ChatGPT can analyze uploaded images. Use cases:

  • "Analyze this chart and tell me what it shows – and what might be missing from the visualization."
  • "Review this design mockup and identify potential usability concerns."
  • "Describe what is in this image and explain what it suggests."
  • "Review this spreadsheet screenshot and identify any formulas that look incorrect."

Vision capabilities vary by model version. Verify current vision capabilities at openai.com.

ChatGPT Voice Mode.

Where available, ChatGPT voice mode enables spoken conversation. Use cases:

  • Hands-free brainstorming while walking or commuting
  • Practicing speaking clearly before a presentation
  • Interview preparation when you want to practice verbal responses
  • Quick queries when typing is not convenient

Voice mode availability and capabilities vary. Verify current status at openai.com.

image generation Image Generation.

Where available on your current plan, ChatGPT can generate images using OpenAI image generation technology.

"Generate an image of [description]. Style: [realistic / illustrated / professional / abstract]. Format: [square / wide / tall]. Include: [specific elements]. Avoid: [things to exclude]."

Practical use cases:

  • Concept visualization for presentations
  • Draft visual ideas for design projects
  • Creating placeholder images for mockups
  • Social media graphics (verify usage rights before commercial use)

Important limitations of AI-generated images:

  • Verify usage rights: generated images are subject to OpenAI's usage policies – review before commercial use
  • Quality and prompt accuracy: image generation may not produce exactly what you describe – iteration is usually needed
  • Content policies: OpenAI applies content policies to image generation

data analysis / file analysis tools.

ChatGPT Plus users can upload data files (CSV, Excel, etc.) for direct analysis. ChatGPT can:

  • Analyze and summarize data
  • Generate charts and visualizations
  • Write and run Python code to process data
  • Identify trends and patterns
  • Help debug code

"Here is a sales dataset [upload file]. (1) Summarize the key trends. (2) Which product category has the highest growth? (3) Are there any outliers in the data? (4) Generate a chart showing monthly revenue trend."

Critical data analysis / file analysis tools verification.

AI-generated data analyses can contain errors – incorrect calculations, wrong column references, or misinterpreted data types. Before presenting any ChatGPT data analysis:

  • Verify key figures against the raw data
  • Test any generated code on a small subset before applying to the full dataset
  • Have a qualified analyst review high-stakes analyses

web search / browsing – current web information.

Where web search / browsing is enabled, ChatGPT can search the web and incorporate current information. web search / browsing availability varies by model and session – look for indicators that ChatGPT used web search (cited sources) rather than training data.

"Search the web for the most current information about [topic] and synthesize what you find. Cite your sources."

Verify cited sources before relying on web-sourced information professionally.

Jamie Practice Lab

Before moving to the quiz, complete this short applied exercise:

  1. Write one realistic ChatGPT prompt that applies the main idea from lesson 36 to your own work, learning, or daily life.
  2. Add one safety or verification step you would take before acting on ChatGPT's response.
  3. Revise the prompt once to include clearer context, constraints, or success criteria.

Instructor check: A strong answer should show practical use, human review, and awareness that ChatGPT output is assistance – not automatic truth or professional advice.

Added Quiz Enhancement

question_id: auto-enhancement-lesson-36-qjamie001 question_type: short_answer difficulty: applied question: Write one prompt you could use after this lesson, then name one verification or human-review step you would apply before relying on the result. correct_answer: Answers will vary; a strong answer includes a clear task, relevant context, at least one constraint or desired format, and a realistic verification or human-review step based on the stakes of the task. answer_explanation: This applied question checks whether the student can transfer the lesson into real use while maintaining responsible AI habits.

Lesson Quiz

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