How to use New Claude AI for Business | Tutorial (4 Real Life Examples)

David K. Dundas
2 Jul 202421:28

Summary

TLDRIn this insightful video, David Dundis, co-founder of an eight-figure brand, compares Anthropic's AI model, Claude, with its predecessor, Opus 3, and OpenAI's GPT. He evaluates Claude's performance in real-life business scenarios like customer support, financial reporting, Facebook ad analysis, and legal contract drafting. Dundis highlights the efficiency and accuracy improvements in Claude's latest model, Sonet 3.5, while emphasizing the importance of human oversight to ensure the AI's output meets business needs.

Takeaways

  • 🧐 The speaker feels that Claude, an AI model by Anthropic, provides more mature responses compared to Chat GPT, which offers broad but less in-depth answers.
  • 🌟 Anthropic is valued at $18.4 billion and has received investments from major companies like Amazon and Google, highlighting its significance in the AI industry.
  • 👥 Anthropic was founded by a brother-sister team who left OpenAI due to concerns about AI safety, indicating a strong ethical stance in their approach to AI development.
  • 🚀 The latest model by Anthropic, Sonet 3.5, has been praised for potentially outperforming OpenAI's GPT-4 in certain aspects, sparking interest in its capabilities.
  • 📊 The video compares Claude's Sonet 3.5 with its predecessor, Opus 3, using real-life business scenarios to demonstrate the improvements in the new model.
  • 💬 David Dundis, the co-founder of an eight-figure brand, uses Claude for various business tasks, including customer support, investor updates, Facebook ads, and legal contracts.
  • 📈 Claude's ability to blend qualitative and quantitative analysis is showcased through a survey analysis example, where it provides a detailed breakdown and summary of customer feedback.
  • 📝 The script demonstrates Claude's utility in creating structured reports and investor updates from financial data, significantly reducing the time required for such tasks.
  • 📉 The video discusses the importance of data accuracy, as Claude, like other AI models, can sometimes make mistakes or 'hallucinate' information that needs verification.
  • 🛠️ Claude's Sonet 3.5 is shown to be more efficient and user-friendly than Opus 3, with better anticipation of user needs and improved packaging of information.
  • 🔍 Despite the advancements, the video emphasizes the need for human oversight and editing of AI-generated content, as no AI tool is perfect and may have shortcomings.

Q & A

  • What is the main difference between Claude and Chat GPT according to the speaker?

    -The speaker feels that Claude responds like a grown-up, providing more depth in its responses, while Chat GPT is more like a kid, telling everything it knows without going very deep.

  • What is the current valuation of Anthropic, the company behind Claude?

    -Anthropic was last valued at $18.4 billion.

  • Why did the brother-sister team that founded Anthropic leave Open AI?

    -They left Open AI because they felt the company wasn't taking AI safety seriously enough.

  • What is the latest model released by Anthropic that the video discusses?

    -The latest model released by Anthropic discussed in the video is Sonet 3.5.

  • What are the four real-life examples the speaker uses to test Claude's capabilities?

    -The four real-life examples are customer support, updates written to investors, Facebook ads, and legal contracts.

  • What issue did the speaker's brand face earlier in the year that affected customer satisfaction?

    -The brand faced material shortages in their factory, causing shipping delays, and the customer support staff was overwhelmed, leading to poor communication with customers.

  • How did Claude help the speaker to analyze survey results regarding the shipping delays?

    -Claude helped by providing a quantitative breakdown of customer types, summarizing feedback from customers affected by the delays, and rewriting the data into a more structured report with graphs and specific customer anecdotes.

  • What is the speaker's profession and how does Claude help in their business?

    -The speaker is the co-founder of an eight-figure brand and has an agency connecting creators with brands. Claude helps by streamlining tasks such as customer support, financial analysis, Facebook ad management, and legal contract review.

  • How does the speaker use Claude for financial analysis in investor updates?

    -The speaker uses Claude to quickly draft summaries of financial reports, compare year-over-year financials, and generate investor updates with key observations and strategic focuses.

  • What is the main improvement the speaker noticed when using Sonet 3.5 compared to Opus 3?

    -The speaker noticed that Sonet 3.5 is more specific, analytical, and provides a better user experience by packaging information in a more readable and logical way.

  • What mistake did Claude make regarding the understanding of Customer Acquisition Cost (CAC)?

    -Claude initially calculated CAC based on every order instead of just the first-time orders, which was corrected after the speaker pointed out the mistake.

  • How does the speaker use Claude for managing Facebook ads for clients?

    -The speaker uses Claude to analyze the performance of Facebook ads, make data-driven decisions, and adjust ad strategies based on profitability.

  • What was the main issue the speaker had with the contract for a data and growth agency client?

    -The main issue was clarifying what happens to the data after the client's contract expires, including the data succession plan and the cost of data transfer.

  • How did Claude assist in drafting a new clause for the contract regarding data handling?

    -Claude helped by suggesting improvements to the clause, specifying the section of the contract where it should be added, and providing a clear and concise draft of the new clause.

Outlines

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Highlights

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Related Tags
AI EvolutionClaud SonetOpus ModelBusiness ImpactCustomer SupportInvestor UpdatesFacebook AdsLegal ContractsData AnalysisAI EfficiencyTech Review