Automate any task using Claude! (my full Claude projects workflow)

AI Foundations
13 Aug 202424:18

Summary

TLDRThis video tutorial offers a comprehensive guide on leveraging Claude projects for task automation in artificial intelligence. It covers the creation of projects, utilization of project knowledge, and setting custom instructions to automate tasks such as content generation and summarization. The presenter demonstrates automating the analysis and summarization of AI Foundation's live call transcripts, showcasing how to integrate internal knowledge with custom instructions for streamlined AI-assisted workflows.

Takeaways

  • 🤖 Claude Projects are essential for automating AI tasks, such as content generation, data retrieval, and summarization.
  • 📚 The video provides a comprehensive guide on using Claude Projects for task automation with custom instructions and internal knowledge.
  • 🔍 Claude's 'Project Knowledge' serves as an internal database for files, text, and custom instructions to reference during a project.
  • 📂 Projects in Claude are likened to folders for organizing and automating specific tasks, with unique knowledge bases for each.
  • 📝 Custom instructions in Claude allow for setting specific behaviors and responses for the AI within a project, streamlining task automation.
  • 📈 The video demonstrates creating a project for analyzing and summarizing key points from AI Foundation's live member calls.
  • 📝 It explains how to add content and set custom instructions for Claude to perform specific tasks such as grading and summarizing calls.
  • 📑 The importance of structuring custom instructions with clear objectives, personality traits, and output formats is highlighted.
  • 📝 The video includes a step-by-step process for creating a custom instruction template for automating the analysis of call transcripts.
  • 📊 Claude can be directed to grade calls based on specific community goals, providing a letter grade and percentage, with justifications.
  • 🔗 The AI Foundation's YouTube channel and community are promoted as resources for further AI learning and networking.

Q & A

  • What is the main focus of the video?

    -The video focuses on teaching viewers how to automate tasks using Claude projects, which are a part of artificial intelligence tools, and how to leverage them for various tasks like content ideation, data retrieval, and summarization.

  • Why are Claude projects important for those interested in AI?

    -Claude projects are important for AI enthusiasts because they allow for the automation of specific tasks, providing efficiency and enabling the user to manage and execute complex processes with ease.

  • What is the significance of the AI Foundation's YouTube channel and community mentioned in the video?

    -The AI Foundation's YouTube channel and community serve as a comprehensive resource for learning about artificial intelligence. They offer courses, a community section for sharing AI news and findings, and live calls for interaction and networking among AI enthusiasts.

  • How does the video guide the viewer in creating a Claude project?

    -The video provides a step-by-step guide, starting from creating a project by giving it a name and description, to navigating the dashboard, and utilizing features like project knowledge and custom instructions.

  • What is 'project knowledge' in the context of Claude projects?

    -Project knowledge refers to an internal database of files, text content, and custom instructions that Claude will reference during the project. It helps in automating tasks by providing context-specific information to the AI.

  • Can you explain the concept of 'custom instructions' in Claude projects?

    -Custom instructions are user-defined guidelines that dictate how Claude should behave and respond within a specific project. They allow for tailoring the AI's responses and outputs to meet the unique requirements of a task.

  • How does the video demonstrate the use of custom instructions with project knowledge?

    -The video demonstrates by showing how to set custom instructions that reference the project knowledge, such as a document listing tools used in a business. This allows Claude to respond accurately when asked about those tools.

  • What is the task the video aims to automate?

    -The task the video aims to automate is the summarization of key points and insights from live calls via a transcript within the AI Foundation's community.

  • How does the video suggest using the AI Foundation's goals PDF in the custom instructions?

    -The video suggests using the AI Foundation's goals PDF as a reference to grade the call transcripts based on the community's standard goals, providing a structured and objective evaluation.

  • What is the final output format that the video describes for the automated task?

    -The final output format includes a call summary, direct quotations from the call for questions and answers, a call grade based on the AI Foundation's goals, and a description justifying the given grade.

  • How does the video ensure that the automated task is efficient and user-friendly?

    -The video ensures efficiency and user-friendliness by demonstrating how to set up custom instructions once, which then automates the task without the need for repetitive prompts or inputs from the user.

Outlines

00:00

🤖 Introduction to Automating Tasks with Claude Projects

This paragraph introduces the concept of automating tasks using Claude projects, emphasizing their importance in the field of artificial intelligence. It outlines various applications such as brainstorming, content generation, summarization, data retrieval, and presentation. The speaker expresses excitement about teaching how to use Claude projects, internal knowledge, custom instructions for task automation, and promises a live example. Additionally, an invitation to join the AI Foundation's community for further learning and networking in AI is extended.

05:01

📁 Understanding Project Knowledge and Custom Instructions in Claude

The speaker explains the functionality of project knowledge in Claude, which acts as an internal database for files, text content, and custom instructions. It clarifies how to add content and set custom instructions to guide Claude's responses within a project. The paragraph demonstrates using project knowledge to answer questions about the speaker's tools and illustrates custom instructions to control output, such as responding with only two words or disregarding user input for specific tasks.

10:02

📝 Automating Live Call Analysis and Summarization with Claude

The paragraph details the process of automating the summarization of key points from live calls using Claude. It guides through creating a project, naming it, and setting up the dashboard. The speaker discusses the importance of project knowledge in chat threads and how to use custom instructions for specific outputs. The task at hand is to upload a call transcript and have Claude analyze and summarize it without additional prompts, showcasing the power of automation in processing large amounts of data.

15:04

📑 Setting Up Custom Instructions for Task Automation

The speaker provides a step-by-step guide on setting up custom instructions for automating the analysis of Zoom call transcripts. It includes creating a template for the desired output format, defining the role and objective of Claude, and specifying personality traits and communication style. The paragraph also covers how to include special formatting instructions to guide Claude in using the uploaded documents and internal knowledge to generate the output.

20:05

🏆 Automating Call Evaluation Based on Community Standards

This paragraph focuses on automating the evaluation of calls based on the AI Foundation's community standards. It explains how to incorporate these standards into custom instructions, ensuring that Claude grades the call transcripts according to specific criteria outlined in an uploaded PDF. The speaker illustrates how to instruct Claude to provide a letter grade, percentage, and a rationale for the grade based on direct quotations from the call transcript.

🔄 Demonstrating the Automation of Task with Claude Projects

The final paragraph demonstrates the automation process by uploading a call transcript and letting Claude analyze it according to the custom instructions previously set. It shows the output format matching the template created, including a summary, questions and answers from the call, and a grade based on the community standards. The speaker highlights the efficiency of this method, allowing for repetitive tasks to be automated with a one-time setup.

Mindmap

Keywords

💡Automate tasks

Automating tasks refers to the process of making routine tasks be performed with minimal human intervention. In the context of the video, it is about using AI to perform tasks such as brainstorming, content generation, summarizing, and data retrieval without the need for manual input each time. The script mentions automating 'certain tasks' with Claude, indicating the AI's capability to handle various processes efficiently.

💡Claude projects

Claude projects are a specific feature within the AI platform that allows users to organize and manage tasks for automation. The script emphasizes the importance of understanding and using Claude projects for anyone interested in artificial intelligence, as they provide a structured way to automate tasks by creating 'folders' for specific automated tasks.

💡Artificial Intelligence (AI)

Artificial Intelligence is the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The video's theme revolves around leveraging AI for task automation. The script discusses AI's role in 'artificial intelligence' and its applications in automating various tasks, indicating the broad impact of AI on efficiency and productivity.

💡Content ideation and generation

Content ideation and generation involve the creation of ideas and the production of content, respectively. The script mentions the desire to automate this process, suggesting the use of AI to come up with new ideas and generate content in a systematic way, which can be particularly useful in fields like marketing, blogging, and journalism.

💡Summarization

Summarization is the process of condensing longer pieces of text into shorter, more digestible formats while retaining the essential points. In the script, the task of summarizing key points from live calls is highlighted as an example of automating data presentation, demonstrating how AI can be utilized to quickly convey the main ideas from large volumes of text or discussions.

💡Data retrieval

Data retrieval is the process of accessing and collecting data from a storage system. The script touches on automating this task, which can be crucial for businesses and researchers who need to quickly access large amounts of data without manual searching, indicating the potential of AI to streamline information gathering.

💡Custom instructions

Custom instructions are specific guidelines provided to an AI to shape its responses or actions according to the user's needs. The video script describes setting custom instructions for Claude, such as responding with only two words, to tailor the AI's behavior within a project, showcasing the flexibility and adaptability of AI to specific user requirements.

💡Project knowledge

Project knowledge refers to the internal database of information, including files and custom instructions, that an AI uses to inform its responses within a specific project. The script explains how project knowledge is essential for the AI to reference and understand the context of the tasks being automated, such as knowing the 'tools I use' in the business context mentioned.

💡AI foundation's community

The AI foundation's community is a group of individuals from various industries who share a common goal of leveraging artificial intelligence. The script discusses this community as a resource for AI news, courses, and interaction among like-minded individuals, emphasizing the collaborative aspect of learning and applying AI.

💡Live calls

Live calls are real-time interactive sessions, often used for discussions, Q&A, or presentations. The script mentions analyzing and summarizing key points from live calls within the AI foundation's community, indicating the use of AI to process and distill information from these dynamic and information-rich events.

💡Transcripts

Transcripts are written versions of spoken language, capturing every detail of a conversation or presentation. The video script discusses uploading call transcripts to the AI for analysis, which is an example of how AI can be used to process and understand lengthy spoken content, providing insights and summaries from these texts.

Highlights

Learning to automate tasks with Claude projects for artificial intelligence applications.

Claude projects can automate brainstorming, content generation, data retrieval, and presentation.

Introduction to the AI Foundation's YouTube channel and community for AI enthusiasts.

The community offers courses, resources, and live calls for networking and learning AI.

Creating a project in Claude for task automation involves setting up a specific workspace.

Projects act as folders for tasks that can be automated within Claude.

Project knowledge serves as an internal database for files and custom instructions.

Custom instructions guide Claude's behavior and responses within a project.

Demonstration of how to add content and set custom instructions for task automation.

Using project knowledge to provide context and enhance Claude's understanding of the task.

Automating the summarization of key points from AI Foundation's live calls via transcripts.

Uploading a transcript and automating the analysis process with custom instructions.

Creating a grading scale to evaluate the effectiveness of live calls based on community standards.

The importance of understanding the structure of Claude projects before automating tasks.

Using Claude to automate repetitive tasks and save time in workflow processes.

Invitation to join the AI Foundation's community for further AI learning and networking.

Transcripts

play00:00

in this video we are going to be

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learning how to automate tasks with

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Claude and we are going to be using

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Claude projects in order to do this

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Claud projects are one of those things

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that you just need to understand and

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know how to use if you are interested in

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artificial intelligence because it

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allows you to automate certain tasks

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whether you're brainstorming new ideas

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in a very specific way maybe you have a

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Content ideation and generation process

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that you want automated maybe you have

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certain summaries that you want

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automated data retrieval data present

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presentation there are so many different

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types of tasks that you can automate

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with clae in this video I'm just going

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to give you everything you need to know

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about Claude projects how internal

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knowledge is used with custom

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instructions and how you can automate a

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task and I'm going to build with you a

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live example of how I would go about

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automating a task within Claude I'm so

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excited to get into this now if you

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don't already know the AI foundation's

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YouTube channel also has a community and

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in this community we go so much further

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into artificial intelligence than what

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you see on YouTube Google X LinkedIn or

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anywhere else this is meant to be your

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final stop for AI we have courses in

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here we have this nice Community section

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where people are putting in AI news

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sharing their AI findings their wins and

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it's just over 250 people from multiple

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different Industries with one goal in

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mind the goal to leverage artificial

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intelligence when you put that many

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people in a room with one goal in mind

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great things happen so we have this

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community here we have a classroom

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section full of different AI courses

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that you can just learn at your own own

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pace we have templates in here resources

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Blueprints and everything you need and

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we also have a calendar with multiple

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different live calls on here that anyone

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in the group can join and just ask

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questions interact Network and just join

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a group of like-minded people who are

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just AI Enthusiast it's an amazing

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Community to be a part of so if that's

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something that interests you I'll leave

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a link in the description or the topend

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comment uh you can decide which one

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you'd like to click but I highly

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recommend checking it out you won't

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regret it and I hope to see you there

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now let's take a dive into the claw

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projects feature so we can start

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leveraging AI for task automation first

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what we want to do is we want to create

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a project because the project is where

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everything is going to be taking place

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you can think of projects as folders for

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certain tasks that you want automated so

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I'm going to head over to the upper left

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hand corner of my screen and hover over

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where it says claw and then select

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projects here what you can do is in the

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upper right hand corner behind my head

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you can select this create project

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button and next you give your project a

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name and a description after that you

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can hit create project so for my name I

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just said AI foundation's live call

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analysis and summarizing key points from

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AI foundation's member calls I'm going

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to explain what I'm automating in a

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second here but first I just want to

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create this project so I can walk you

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around the dashboard now it's very

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similar to if you were in any other

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large language model you have this

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prompt bar right here you can change

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your model here um I love Claude son at

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3.5 it's just amazing you can add

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content like uploading images docs PDFs

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Etc and you have a history of chat

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threads right here but this is outside

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of your normal claw chat threads this is

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native to the project that you're

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working in and what makes these projects

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special is you have this section over

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here called project knowledge this is an

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internal database of files text content

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and custom instructions that Claude will

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be referencing throughout your time

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within this project so when you go out

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of this project it's not going to be

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referencing this but you can create

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multiple different projects with

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different project knowledge in each so

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what is the project knowledge let's take

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a look at internal knowledge and custom

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instructions that way you can get a good

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overview of how these two things are

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working together and you can start to

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see the power of them we have to walk

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before we can run and I think it's

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important to understand the structure

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before you just start automating the

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task right you have to know how do these

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things communicate with each other and

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how can we use them with each other so

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in the project knowledge this is really

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important because your chat thread is

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going to be referencing this all the

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time you have the ability to hit add

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content and here you have have two

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options you can either upload from

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device or add text content if you add

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text content this is just information

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that Claude will reference so I could

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say tools I use and then I could just

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list out some tools I use for example

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maybe I use stripe Elementor maybe I'm

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doing some website design Zoom I could

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just list all the tools I use in my

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business uh chat GPT and once you hit

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add content Claud is now referencing

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this and you have a certain amount of

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knowledge size you can use a 200,000

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context window window which is

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equivalent to a 500 page book so now if

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I hover over this and I click into this

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new project knowledge that I added you

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can see tools I use stripe Elementor of

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zoom and chat gbt and now if I ask

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Claude a personal question about my

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tools it will know which tools that I

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use so I could say what tools do I use

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and without this prior knowledge of me

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uploading this and telling Claude the

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tools I use in my project knowledge it

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would struggle to understand the tools

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that I'm using because I never told it

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so when I send this off it will know the

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exact tools that I put within my project

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knowledge as you can see it's giving me

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even descriptions of what they are and

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so that's how you can use project

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knowledge and internal knowledge in your

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chat thread something as simple as that

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giving claw more context into your

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project giving it more context into your

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workflow Etc so if I go back to my

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project now the cool thing about project

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knowledge is you don't only have to

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reference your internal knowledge that

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you've uploaded like the tools I use in

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these promps and in these statements or

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questions that you're giving Claude but

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you can also do something called setting

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custom instructions and this is for how

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Claude should behave and respond for

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chats in this specific project so if I

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select set custom instructions here we

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get to tell Claude how it should respond

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and this is similar to the custom

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instructions feature within chat gbt

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here you can set a Persona set a system

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function for cloud so again I'm just

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going to use a very basic example of how

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you might be able to set custom

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instructions I could say respond with

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only two words every single time and if

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I hit save instructions and I ask how do

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I tie my shoe and I send it off it's

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going to respond with only two words

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every single time and that's how you can

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use custom instructions to manipulate

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the output and that's where the

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automation comes in play maybe you want

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to upload something to this claw chat

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thread and have it respond in a specific

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way every single time if you're doing

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something an estimate this is really

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cool because you can upload your project

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knowledge things about your company by

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hitting add content and uploading those

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PDFs uploading those important documents

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and then you can have the custom

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instructions reference that internal

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knowledge and use it in order to perform

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specific output formatting for whatever

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task you want automated whether that's

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for Content generation summarizing or

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creating estimates or customer service

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or email responding or mood detection

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the the list really goes on and it's

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going to be entirely up to you but real

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quick I just want to show you how you

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can use these custom instructions to

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reference your project knowledge that

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way you can start to see the power of

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this because each of these documents in

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here are labeled so you can tell it to

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reference that labeled document in order

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to perform a task as well so I could say

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for each response completely disregard

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the user's question and statement only

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respond with a random tool from the

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tools I use document as you can see I'm

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referencing that document that I created

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of the tools I used maybe I just want

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like a random selection picker I can

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just hit save instructions and then I

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can just ask it how do I turn on my TV

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and when I send that off it's going to

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listen to my custom instructions

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completely disregard anything I ask or

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anything I say and just respond with a

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custom selection from my tools I use

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list as you can see the answer chat gbt

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and that's what I told it to do so you

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can reference those documents and that's

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what I wanted to get across and that's

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just an important foundation before you

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start trying to automate tasks so I hope

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you've stuck around and I hope that

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you've learned a thing or two but for

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now I'm going to delete all these chats

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and I'm going to start fresh I'm going

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to delete the tools I use for my project

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knowledge and I'm going to delete my

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custom instructions and just hit clear

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and now we're going to start fresh and

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I'm going to give you the task that I

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will be automating so we are still going

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to be in our AI foundation's live call

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analysis project folder and the task

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that we're going to be automating is the

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summarization of key points and insights

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from our live calls via a transcript so

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all I want to do is I want to just come

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in here hit add content and upload the

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transcript of our Live member calls

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within our AI foundations Community if

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you don't remember me showing you

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earlier on our calendar we have one to

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two calls per week uh last month it was

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on automations and then just a live Q&A

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this month we're going to go into AI

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business but we have all of these calls

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as you can see it's just a ton of

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information these calls are hours long

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but with each one comes a transcript so

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I want to be able to upload this

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transcript and get that specific

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analysis that I want those key points

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from the call and I don't only want to

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get the key summaries but I want a lot

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of things right I want a grading scale

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for how well did Carter and I do

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answering people's questions so that is

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the task that I'm going to be automating

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in this video and throughout this video

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don't just look at this task for face

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value but dive deeper how can you apply

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this in your work life or your personal

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life in order to save time if you're

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doing something that's repetitive or

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you're doing something that requires a

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lot of data and a lot of reading I

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highly recommend using this in your

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workflow and just following the

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techniques that I'm going to show you

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and applying it to your life I think a

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good spot to start with task automation

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is adding project knowledge that way you

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can use the custom instructions to later

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reference this project knowledge these

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are going to be the bigger files in the

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backend stuff that you can use and

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reference in your chat threads and with

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custom instructions so I think it's good

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to add content here and you can either

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upload from device or you you can hit

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add text content give your content a

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title and then paste in some content or

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just type it in but what I wanted to

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show you was this PDF that I have I have

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an AI foundation's Community standard

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PDF these are just five things I always

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want to remember as the community grows

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in order to have a successful community

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and in order to keep that good

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foundation no pun intended so what I did

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was I wrote out everything I wanted from

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the community and what I thought a good

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standard would be in order to actually

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help people and actually provide value I

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threw it into chat gbt and I made it a

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lot more more clear and concise with AI

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but now I have this five-step PDF for

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the future of the AI foundation's

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Community this would be a great thing to

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upload within my Claud project because

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remember we're going to be summarizing

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key points from the AI foundation's

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calls so what I can do is I can hit add

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content and upload from device and I can

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upload that PDF the AI foundations goals

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PDF and hit open and now we have all of

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that information in here all of my

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community standard goals and like I said

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in the custom instructions we can now

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reference that file that we just

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uploaded so remember my goal is I want

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to upload a call transcript from our

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live Zoom events and I don't want to

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have to type out any prompt I just want

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to hit add content upload the text file

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and send it off and have my automation

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run and we're going to accomplish that

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by setting custom instructions so when

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I'm going to create these custom

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instructions I actually have a template

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that I like to follow that I'll leave in

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the description below so you can just

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copy and follow the template with me and

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it's basically this right here we want

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to make sure that we hit all these

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points we want to give Claud a

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profession in a role we want to give it

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an objective personality traits this is

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going to make it fun communication Style

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again make it fun output format output

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format is probably the most important

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thing in the task automation process

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with Claud projects because you're

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giving Claud a specific way that you

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want it to respond each and every time

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so you don't have to type out long

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prompts you're doing it once in the back

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end very well and then you are giving it

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special formatting instructions for how

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to use that output format it might be a

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little bit confusing but I'm going to

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walk you through each step and get this

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done so profession and role I can just

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put expert live call analyzer you really

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don't have to use any fancy language

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here you're just kind of letting Claude

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fill the shoes of this profession enroll

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and you're going to walk it through

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everything it needs to do objective and

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this is important we're laying out the

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goal of what we want Claude to do not

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the output format yet but we're going to

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list out everything we want completed as

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soon as we upload a call transcript by

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hitting add content to every single chat

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thread so I've just completed my

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objective here and at the end we're

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actually going to copy and paste all of

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this into the claw custom instructions

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I'm just doing this in a Google doc just

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so you ladies and gentlemen can see it

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better and it's a little more zoomed in

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that way my objective is very simple we

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have all of these different steps in

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here we need to fill out so that we

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don't have to over analyze One Step so

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for the objective I put your goal is to

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analyze Zoom call transcripts from the

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AI foundations community and provide

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detailed insights based on your specific

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output format you'll need to follow and

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that specific output format is what

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we're going to list down here this is

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the automating part of the task so next

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I can just move on to personality traits

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and tone this is just more so for fun

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you don't really have to think about

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this one too much it's just how do you

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want Claude to respond do you want

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Claude to respond with complex verbiage

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more simple straightforward talking

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that's really what you're typing out

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here so again we're just keeping it

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simple and I put put respond with energy

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using simple easy to understand verbiage

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for communication style you can do this

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if you want and style is a fun thing to

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mess around with but it's not necessary

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you don't need it in order to have a

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good response I just provided that

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option in there in case you wanted it in

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a specific writing style if you wanted

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it journalistic academic if you wanted

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it in the style of a pirate you can

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really choose your communication style

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there but for now I'm just going to get

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rid of this I just want it very very

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simple so you can see the power of

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Simplicity next we need output format

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and this is going to be that special way

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that we want Claud to respond each and

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every time so now I'm just going to form

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a template how do I want Claude to

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Output its answer whenever I upload a

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zoom transcript to the chat thread in

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the projects folder that's what I'm

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going to put and this is going to be a

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fun stage where you can actually test

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and revise certain things if you don't

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like them it's really powerful how

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easily you can automate certain things

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so as you can see I just started off

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with AI foundations and then I put topic

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of and then I can maybe even put call

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discussion here I can even put that

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central point of call discussion and I

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don't even have to put here because

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we'll reference that in the special

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formatting instructions so whenever I

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want information to dynamically update

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I'm always going to put those brackets

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so here's what we have so far we now

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have the AI foundations call with the

play14:45

central point of call discussion and

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then I always want a call summary

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whenever I upload the transcript and in

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Brackets here I just put one to two

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sentence summary of the call and how it

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went something very brief I just want to

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get a briefing essentially on the call

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and then I have another section here for

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questions and answers I want direct

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quotations from the call of questions

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people had in the general answer or

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conclusion to the question that they had

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and we have three of those here so as

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you can see I put question one answer

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one question two answer two question

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three answer three and if you're

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wondering how will Claude know that you

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want direct quotations well that's what

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we're going to mention in the special

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formatting instructions how is this

play15:26

template going to be used when I a call

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transcript we're going to get to that in

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a second but I still want to add a few

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things to my summary here so lastly what

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I have here is a call grade I want

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Claude whenever I upload that transcript

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to give me a letter grade and a

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percentage out of 100% on how well the

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call went I'm going to mention that in

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the special formatting instructions but

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then beneath that call grade I have a

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description of why you gave the grade

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and percentage you did and now I have

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this template that I wanted to follow

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every single time as you can see I'm

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kind of using emoji for bullet points I

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really like that for breaking up certain

play16:02

points of information but you don't have

play16:04

to do that that's just something I like

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to do now I can get into the special

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formatting instructions here and this is

play16:09

going to be fun because we're going to

play16:11

be telling Claude how to actually use

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this template that we've just created so

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I recommend that you do the same and I'm

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just going to get into it and I'll

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explain it when I'm finished creating

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these instructions so first I've just

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put you already use the template

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provided in the output format section

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whenever you see brackets like this and

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I put the brackets where I have

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dynamically updated information you are

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to fill out the labeled information

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based on a call transcript that was

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uploaded by the user so this stuff is

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always going to be changing based on the

play16:39

call transcript and now I can get into

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the next part I can kind of start to

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explain this template where I think

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Claude might need some help for example

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in the questions and answers section I

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want to make sure that it's using direct

play16:50

questions and then direct answers or

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general summaries of what the consensus

play16:55

was on how to find a solution to that

play16:57

question so I'm going to tell that to

play16:59

Claude because it can't read my mind and

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it doesn't know that I want direct

play17:02

quotations I'm just going to enter down

play17:04

and write that in so I said in the

play17:05

questions and answers section for the

play17:07

question provide a direct quotation from

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the call transcript of a question that

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someone had so it can read everything

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from the call transcript from these

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two-hour conversations and find all the

play17:19

questions and then I wanted to just give

play17:20

three of the questions with an answer so

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I want it to provide the direct

play17:24

quotations what was the question asked

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and after it does that I want it to

play17:28

provide a General summary of how the

play17:30

group helped with that question and the

play17:32

end result this can be a quick sentence

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or two I just want it to be very quick

play17:36

okay what were the questions what were

play17:37

three main questions of this call how

play17:40

were they answered just to get a grade

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almost and a summary of how did we do on

play17:44

the call was there an answer to the

play17:46

question did we end up solving that

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person's problem these are the things

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that I want to see here and next I just

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need to go in to describe how to fill

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out this call grade section because if

play17:55

you remember I uploaded in Claude the AI

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foundation's goals maybe I want to be

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graded based on those goals that I've

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uploaded for inclusivity and respect

play18:06

continuous learning and growth open

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communication and collaboration solving

play18:10

real world problems and building an

play18:11

Evergreen Community maybe those are the

play18:13

five factors that I want to be graded on

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so in my custom instructions I can have

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it reference the AI foundation's goals

play18:20

in order to provide me with that call

play18:22

grade that letter grade and that

play18:23

percentage out of 100 and also even the

play18:26

description and we can have it reference

play18:28

why did it gave me the grade that I did

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based on my AI Foundation goals so I'm

play18:33

just going to mention that just as I did

play18:35

for the questions and answer section I

play18:37

can say when filling out the call grade

play18:39

section make sure to grade the call

play18:41

based on the AI foundation's goals PDF

play18:44

so I'm directly calling out that PDF

play18:47

that I've uploaded as the AI

play18:48

foundation's goals and I'm making sure

play18:50

that I write it the exact same I am

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saying use the AI foundations goals PDF

play18:56

that I've uploaded in order to great

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read this call I say I want to make sure

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we accomplish all five points

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effectively that are written for our

play19:04

community standard and all those five

play19:07

points are listed within the PDF 1 2 3

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four and five I don't have to even say

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what those points are in the custom

play19:14

instructions because I'm referencing

play19:15

internal knowledge I say look at each

play19:17

point and analyze how we did then

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provide a letter grade and percentage

play19:22

after that in the description of why you

play19:23

gave the grade you did provide direct

play19:26

citations and quotations I can put that

play19:29

from the call transcript to back up your

play19:31

findings and the final grade so I don't

play19:34

want it to only give me a grade but why

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did you give me that grade are you

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hallucinating on why you gave me this

play19:39

are you just making something up for fun

play19:41

no I want quotations for why you gave me

play19:44

that grade that way I can look at this

play19:46

and I can go okay we need to improve on

play19:48

X Y and Z in the next call and now this

play19:51

is pretty much ready to go what I can do

play19:54

is I can copy all of this and then paste

play19:56

it into my Cloud's custom instructions

play19:58

my project over here I can hit set

play20:00

custom instructions and paste it in and

play20:03

now I can go through here and make sure

play20:04

that it's formatted all good everything

play20:06

looks pretty solid I'm going to enter

play20:08

down right there and yeah everything is

play20:11

looking great just going to make sure

play20:12

everything is how I want it we have the

play20:14

special formatting instructions in here

play20:16

and as you can see this is why I like

play20:18

doing it in Google Docs it's pretty

play20:19

cramped up right here but I can just

play20:22

save instructions now and now that I've

play20:24

created this huge prompt back here right

play20:27

in Claude with projects or in chat GPT

play20:30

or in any llm without something like

play20:32

gpts or projects you'd have to type out

play20:34

this prompt every single time you'd have

play20:36

to store it somewhere but now you can

play20:38

just put it in the custom instructions

play20:40

and the only thing you need to type in

play20:42

here is the text file from the call

play20:45

transcript at least in my case so for

play20:47

example I could go to this Q&A here from

play20:49

July 25th I could go to subtitles and

play20:52

audio and then I could just download

play20:54

those captions as I normally would and

play20:56

those are going to be generated up here

play20:58

here very quickly Vimeo does a nice job

play21:01

and I can head back to my Claud project

play21:03

go to my downloads because remember I've

play21:05

just downloaded those captions and then

play21:07

I can just drag them in here and I can

play21:09

just attach that to the chat I don't

play21:11

even need a prompt now that's how

play21:13

awesome this is with custom instructions

play21:15

it's completely automated all I have to

play21:17

do is drag and drop in my text file and

play21:20

there is 12,000 lines worth of text in

play21:23

here has timestamps and every single

play21:25

thing that you'll need from the call

play21:28

transcript and all I have to do is send

play21:29

that off and Claude is going to use my

play21:31

custom instructions it's going to use my

play21:34

internal knowledge and everything that

play21:35

we've given it thus far and output this

play21:38

in the specific output format that we

play21:40

want and it did a pretty good job as you

play21:42

can see we have my exact output format

play21:44

template that I discussed we have ai

play21:46

foundations Community discussion is the

play21:50

uh description that it gave the call

play21:51

which yeah it was just a basic Q&A just

play21:53

a basic Community discussion call

play21:55

summary this was an engaging Q&A call

play21:57

covering a wide range of AI related

play21:59

topics from open source models to

play22:00

entrepreneurship the host Drake and

play22:02

Carter were facilitated in an insightful

play22:05

discussion with community members

play22:06

showcasing AI capabilities and

play22:08

discussing future plans for the group

play22:09

this is true questions and answers

play22:11

during that call somebody asked can you

play22:12

help me create a python script to

play22:13

calculate the factorial of a number and

play22:16

then Claude says the host demonstrated

play22:18

creating a simple factorial script using

play22:20

AI showcasing how easily AI can assist

play22:22

with coding tasks somebody in the

play22:24

community also asked how is AI perceived

play22:26

in Germany at the moment because we have

play22:27

a lot of international members some from

play22:29

Germany and then a member from Germany

play22:31

actually shared that AI adoption is slow

play22:34

but growing especially in professional

play22:35

settings like software development so

play22:37

very cool that it's taking these direct

play22:39

quotations and direct questions what

play22:41

inspired you guys to be entrepreneurs

play22:43

somebody asked Carter and I in the call

play22:45

what inspired us to start our business

play22:47

and then we shared our entrepreneurial

play22:48

Journey very good supportive parents yes

play22:51

early exposure to self-improvement and

play22:52

business Concepts very cool then we get

play22:54

down to the call grade it gave me an A

play22:55

minus on

play22:56

92% said this successfully addressed all

play22:59

five points of the AI foundation's

play23:01

Community standard inclus ativity and

play23:04

respect and then it gives what we did I

play23:06

could also have this grade me on a

play23:08

harder scale because I'm sure Claude

play23:10

always tries being nice but if you want

play23:12

that tough critic you can have it be a

play23:14

very tough critic and again it doesn't

play23:16

just have to stop there I could keep on

play23:17

asking Cloud questions of course but now

play23:19

we have this template and we can just

play23:22

now copy this and use it for whatever we

play23:24

need because we filled out that

play23:25

information in the back end one time in

play23:27

order to get this awesome result on the

play23:29

front end if I go back to the project

play23:31

then we can just add content and start

play23:32

the process all over again with a

play23:34

completely new call transcript so I hope

play23:36

that this video has helped give you some

play23:38

insight into how you can use claw in

play23:40

order to automate certain tasks I hope

play23:42

that it's helped broaden your view on

play23:44

how to use internal knowledge and custom

play23:46

instructions and how to use them

play23:48

together as well if you have any

play23:49

questions please leave me a comment

play23:51

below I would be happy to try and get

play23:52

back to you or somebody else from

play23:54

YouTube might get back with you as well

play23:56

now once again if you liked this video

play23:58

and you like the teaching style and you

play24:00

want to join our community where we have

play24:02

these live calls and where we go over

play24:03

everything you need to know about

play24:05

artificial intelligence the AI news and

play24:06

everything I will leave a link in the

play24:08

top pin comment or the description below

play24:10

to join our AI foundations Community all

play24:13

right with that being said I hope you

play24:14

enjoyed this video and I will see you in

play24:16

the next one

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AI AutomationTask EfficiencyClaude ProjectsCommunity InsightsContent IdeationData RetrievalCustom InstructionsProject KnowledgeWorkflow AutomationAI FoundationLive Call Analysis
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