Building Impactful AI Products for the Masses: A Q&A Session with startup founder | Studio05

Summary

セス・ジュアレスは、Cassidy AIの創設者でありCEOであるジャスティン・ファインバーグを招いたインタビューを行いました。Cassidy AIは、技術者ではない人々にもAIの力を提供し、ビジネス固有のAIワークフローを構築できるようにすることを目指しています。ジャスティンは、AIが技術的なユーザーと非技術的なユーザーの間のコラボレーションと生産性をどのように強化するかについて説明しました。また、AIの進化に伴い、企業が直面する課題や、AIの始め方に関するアドバイスも提供しました。Cassidyは、非技術者でもAPIを知らなくてもカスタマイズされた自動化を簡単に構築できるようにするエクスペリエンスを提供することを目指しています。

Takeaways

• 🤖 Cassidy AIは、非技術者がAIを使いこなせるようにするツールを開発しています。
• 🚀 Justin Finebergは、GPT-3が登場した際の衝撃とその後のChatGPTの登場がAI分野への興味を爆発的に高めたと語っています。
• 💡 Cassidy AIの目的は、技術者ではない人々にAIの力を与え、彼らのビジネスに固有のAIワークフローを構築できるようにすることです。
• 🔍 Justinは、AIを用いた製品開発において、技術者と非技術者の間のコラボレーションと生産性を高める方法について話しました。
• 🌟 AIは、従来では不可能だった方法でユーザーを魅了することができるとJustinは強調しました。
• 🛠 技術者がAIを用いて製品を開発する際には、問題解決に焦点を当てることが重要だとJustinは提唱しています。
• 🧐 多くの企業はAIを単なる流行に追いかけがちですが、Justinは問題解決に焦点を当てることの重要性を説きます。
• 📚 Cassidy AIは、非技術者にもAIツールを使いやすくするために、教育とリソースの提供に力を入れています。
• 🔑 Justinは、AIを始めた企業に対して、実験心と好奇心を持って取り組むことの大切さをアドバイスしています。
• 🔄 継続的な変化に備えるためには、AI分野における新しいモデルや技術に迅速かつ柔軟に対応する必要があるとJustinは述べています。
• 🌐 Cassidy AIは、AI技術をより多くの非技術者に届けることにフォーカスを当てており、今後もその経験を向上させることに力を入れる予定です。

Q & A

セス・ジュアレスは誰ですか？

セス・ジュアレスは、このトークのホストであり、ジャスティン・ファインバーグと対話しています。

ジャスティン・ファインバーグはどのような人物ですか？

ジャスティン・ファインバーグはCassidy AIの創設者であり、CEOでもあります。彼らはAIツールを大衆に提供しています。

Cassidy AIとはどのような会社ですか？

Cassidy AIは、非技術者がAIを使いこなすことを可能にするツールを作成する企業です。彼らはビジネス固有のAIワークフローを構築する力を提供しています。

GPT-3が登場したとき、ジャスティンはどのような反応をしましたか？

GPT-3が登場した際、ジャスティンはその力に感銘を受け、すぐにAI分野でコンテンツを作成し始めました。

ChatGPTが登場したとき、人々はどのように反応しましたか？

ChatGPTが登場すると、人々はそのチャット体験に驚き、全世界でAIへの興味が爆発的に高まりました。

Cassidy AIはどのようにチームの協力と生産性を強化するのですか？

Cassidy AIは技術者と非技術者の両方のチームメンバーがAIの力を使って協力し、生産性を高めることを可能にします。

AI技術がどのように製品やサービスに貢献するのですか？

AI技術は製品やサービスにインテリジェンスを追加し、ユーザーの満足度を高める新しい方法を提供します。

Cassidy AIはどのように非技術者にもAIツールを使用してもらう方法を提供していますか？

Cassidy AIは、APIなどの専門知識を必要とせずに、非技術者が独自の複雑なワークフローを構築できるようにするツールを提供しています。

AIを始めた企業がよく犯す間違いとは何ですか？

多くの企業はAIを単なる流行に追いかけ、実際の問題解決に重点を置かず、AIを適切に活用できません。

Cassidy AIはどのように非技術者にも教育とサポートを提供していますか？

Cassidy AIはリソースライブラリ、週次ウェビナー、コンテンツの提供など、教育を積極的に提供しています。

Cassidy AIの将来について、どのような展望がありますか？

Cassidy AIは、技術者ではない人々にAI技術の驚くべき力を体験してもらい、彼らが独自の自動化を構築できるようにする経験を提供することを目指しています。

Outlines

00:00

🤖 AIツール「Cassidy AI」の紹介

セス・ジュアレスは、Cassidy AIの創設者でありCEOであるジャスティン・ファインバーグと対話します。Cassidy AIは、大衆向けにAIツールを開発しています。ジャスティンは、GPT-3が登場した際にAI分野への関心を持ち、その後ChatGPTが登場し、その衝撃を受けたと語ります。Cassidy AIは、AIに関する知識が乏しい非技術者にも、独自のビジネスに特化したAIワークフローを構築できるようにすることを目指しています。セスは、AI技術に対する多くの人々の興味について尋ね、ジャスティンは、AIが過去にないほどの技術的変化をもたらしていると答えています。

05:00

🚀 AIの変化と企業へのアドバイス

ジャスティンは、AI分野における急速な変化に対応する上で、専門家はいないと語ります。彼は顧客や開発者に対して、好奇心と実験心を持ってAIをアプローチし、未来が何であるかを知る前に積極的に動くことの重要性を説きます。また、企業がAIの旅を始めるときの大きな失敗として、問題解決に重点を置かずAIを追加する傾向があると指摘しています。問題から始めて、その後解決策としてAIを検討することが肝要だとアドバイスしています。

10:01

🛠 Cassidy AIの使い方と未来の展望

Cassidy AIは、非技術者にもAIツールを使いやすくすることを重視しています。ジャスティンは、リソースライブラリの充実や週次ウェビナーの提供など、教育を含めた製品開発の重要性を強調します。さらに、Cassidy AIの将来について語り、技術に触れたい人々に向けて使いやすい体験を提供し、AI技術の力を体験してもらえるように努めると述べています。セスは、技術の変革的影響について触れ、誇り高い未来への期待を示します。

Keywords

💡Cassidy AI

Cassidy AIは、ビデオの中心となる企業であり、大衆向けにAIツールを開発しています。ビデオでは、Cassidy AIが非技術者がAIを使いこなし、独自のビジネスに合わせたAIワークフローを構築できるようにすることを目指していると説明されています。例えば、ビデオの中でJustin FinebergはCassidy AIがどのようにして非技術者にもAIの力を提供するかについて話しています。

💡AI

AIとは、人工知能のことで、ビデオの主題と密接に関連しています。ビデオでは、AIが製品開発や業務の自動化においてどのように役立つかが議論されています。特に、GPT-3やChatGPTのようなAI技術が登場し、人々の興味を喚起したとJustin Finebergが話しています。AIは、ビデオのメッセージにおいて、技術者だけでなく非技術者にも力を与えるものとして描かれています。

💡非技術者

ビデオでは非技術者を指す言葉が何度も出てきており、彼らがAI技術を利用して独自のワークフローを構築できるようにするCassidy AIの目標が強調されています。非技術者は、プログラミングやAPIなどの技術的な知識を持っていない人たちを指しており、ビデオの中では、彼らがAIを使いこなすことの重要性が繰り返し説明されています。

💡ワークフロー

ワークフローとは、業務や工程の流れを指しますが、ビデオではAIによって自動化や最適化されるプロセスを意味しています。Cassidy AIが提供するツールを通じて、非技術者が自分の業務に合わせたワークフローを構築し、業務の効率化を実現できるとJustin Finebergが説明しています。

💡GPT-3

GPT-3は、ビデオの中でAI技術の進歩を象徴する言葉です。GPT-3は大きな興味を呼び起こし、多くの人々がAIの可能性に目覚めるきっかけとなったとJustin Finebergが話しています。ビデオでは、GPT-3が出てくると同時に、AIがビジネスや製品開発においてどのように役立つかが議論されています。

💡ChatGPT

ChatGPTは、ビデオ内でAI技術の具体例として紹介されています。ChatGPTはチャット形式のAIであり、人々がAIと対話形式で互动できるようにしたものです。ビデオでは、ChatGPTが登場したことで、AIに対する人々の興味が高まり、Cassidy AIがその勢いを利用して事業を開始したとJustin Finebergが語っています。

💡API

APIとは、アプリケーションプログラミングインターフェースの略で、ビデオでは技術的な用語として触れられています。非技術者がAPIを知らなくても、Cassidy AIを利用してAIツールを構築できるようになることが強調されています。APIは、ソフトウェア間でのやり取りを行うための規約のようなもので、ビデオの中では、技術的な知識がなくてもAIを活用できることを示す例として用いられています。

💡教育

ビデオでは、AIツールを扱うための教育の重要性が強調されています。特に、非技術者がAIを使いこなすためには、適切な教育とリソースが提供される必要があるとJustin Finebergが話しています。Cassidy AIは、週ごとのウェビナーやリソースライブラリを通じて、ユーザーがAIツールを学ぶためのサポートを提供していると説明されています。

💡実験

実験は、ビデオ内でAIを扱う際のアプローチとして何度も言及されています。Justin Finebergは、AIを実験的に取り組むことの重要性を強調しており、未知の分野であるため、好奇心と実験心を持って取り組むことが肝心だと語っています。ビデオでは、実験を通じて問題解決への道を開く方法が示されています。

💡問題解決

問題解決は、ビデオの主題に密接に関連する概念です。AIは問題解決のための手段として位置づけられており、ビデオでは、AIを実装する前に具体的な問題を特定し、その後でAIがそれを解決するかどうかを検討することが重要だとJustin Finebergが説明しています。ビデオの中では、AIを適切に活用するためには、問題解決に焦点を当てることが強調されています。

Highlights

Seth Juarez interviews Justin Fineberg, the founder and CEO of Cassidy AI, focusing on making AI tools accessible to non-technical people.

Justin Fineberg's initial encounter with AI was through GPT-3, which inspired him to create content in the AI space.

The widespread interest in AI was ignited by the release of ChatGPT, leading to the establishment of Cassidy AI.

Cassidy AI aims to empower non-technical individuals to build unique AI workflows tailored to their business needs.

AI has generated a level of mass excitement not seen since the introduction of the iPhone, according to Seth Juarez.

Developers can now integrate AI into their products to enhance user experiences in unprecedented ways.

Cassidy AI seeks to democratize AI by providing the same capabilities to non-technical users as engineers.

Non-technical users can now utilize AI to automate daily tasks and workflows without coding knowledge, thanks to Cassidy AI.

Justin Fineberg emphasizes the importance of approaching AI with curiosity and experimentation.

There are no experts in AI yet, and the industry is still in the process of writing the playbook for its use.

Companies often make the mistake of adding AI for the sake of it, rather than solving real problems.

The advice for starting an AI journey is to focus on solving problems first and then finding AI as the solution.

Cassidy AI provides resources, webinars, and content to educate users on how to effectively use their platform.

The future of Cassidy AI involves onboarding more users and helping non-technical individuals build custom automations.

Cassidy AI's mission is to make AI accessible and easy for anyone to use, regardless of technical background.

Justin Fineberg shares his vision for Cassidy AI to help users achieve their 'aha' moment with AI technology.

Transcripts

SETH JUAREZ: Hello, and welcome back.

I am Seth Juarez.

I'm here with Justin Fineberg founder

and CEO of Cassidy AI.

Building AI tools for

the masses. How are you doing, buddy?

JUSTIN FINEBERG: I'm great, Seth. It's great

to be here in Microsoft Builds.

SETH JUAREZ: We get to sit

here and just chat,

and I'm like, don't use it up. This is all good stuff.

JUSTIN FINEBERG: It's to much good stuff.

SETH JUAREZ: We get to much good stuff.

Tell us about

Cassidy AI and what you do.

JUSTIN FINEBERG: Man. Well, I'll tell you.

I'll give you background.

Basically, my background building in this space.

SETH JUAREZ: I'm sorry.

Before you go, live questions.

Please get your questions in

the question box. Get that started.

We want to get it because otherwise,

I will hug all of his time.

He's an awesome dude.

Please make sure you get a question.

Cassidy AI. Sorry, go ahead.

JUSTIN FINEBERG: Man.

Basically, my introduction to

AI basically started when GPT-3 came out.

I had my ChatGPT moment

a couple of years prior to this mass interest.

SETH JUAREZ: Right before.

JUSTIN FINEBERG: Immediately

I started making

content in the AI space,

just talking about how we were using AI,

building products, things like that.

When ChatGPT came out, there was just an explosion.

Obviously, this mass appeal of interest in this space.

Off the back of that, we started

Cassidy really with the idea of how can we

bring more power to

non technical people who are excited about AI,

don't know much about AI generally and

allow them to build these AI workflows

that are really unique to their business.

That's what we started Cassidy on,

and it's been really awesome.

SETH JUAREZ: What was it like?

Because GPT-3,

I heard rumblings about it.

But you got into that right away,

and my sense is that you were like, what is this?

But you had that wow moment beforehand.

Can you tell us what that experience was like and

why people should be really

super excited about this tech?

JUSTIN FINEBERG: Well, it was just as

mind blowing then as it is

now in a very smaller way at the time.

But we immediately just started using in

the products that we were building, my co founder and I.

But it wasn't until really ChatGPT came out,

that product shift where it was in that chat

experience that everybody in the world was like,

holy wow. This is amazing.

That was just really the impetus to start

this company was like, how do we make it?

How do we give more power to

these non technical users who

are excited about this technology?

Because, really, there's never been

a technology shift that gotten

the mass excitement like AI has.

SETH JUAREZ: I know.

JUSTIN FINEBERG: It's so unique.

SETH JUAREZ: It's been

different because as I've seen,

maybe you can validate this or you say,

hey, Seth pecreek.

It was the first time that it

wasn't tech companies saying, you should do this.

It was the masses saying,

we want this and it was total.

We haven't had that reversal

since I don't know, the iPhone.

JUSTIN FINEBERG: It's such a unique time for developers,

whatever product you're building.

If you're building a construction CRM

for construction, or whatever it is.

You can now add AI into your product

and really just delight users in a way

that's never really been possible with

any other technology shifts and I think

that's what's so excited about this new movement towards,

how do you actually build AI products?

They've been really excited about that.

SETH JUAREZ: That's cool.

The digital questions are coming in.

Keep them coming. We have

a digital question. Who's given that to?

SPEAKER 1: We have a question from Randy and

the Chat and he's asking Justin,

how can Cassidy AI enhance collaboration and

productivity within a team that

includes both technical and non technical members?

SETH JUAREZ: How can Cassidy AI help

productivity with a team

that's both technical and non technical?

JUSTIN FINEBERG: Our goal with Cassidy

is really to

give the full power of AI that an engineer might have,

who's completely technical to build anything,

but have the usability that someone who

doesn't even know what an API is could

really build this complex workflow

that's really unique to them.

What Cassidy enables is someone like

a sales development representative

or a marketing associate,

to really look at what are their workflows,

what do they do on a daily basis

and then actually put AI to the test.

How can you build, connect all of your tools together,

bring in your data, and replicate

those exact workflows that you as an employee are doing?

That was really only possible

before if you knew how to code.

If you could put things together,

you could build something yourself and that's

really what Cassidy enables is just

that totally non technical user can really

build powerful software without the knowledge.

SETH JUAREZ: I love how first of all,

LLMs are enhancing productivity,

but now you're going the extra step of enhancing

the productivity of someone who

maybe he's not used to technology yourself.

It looks like we have an in person question over here.

Yes, sir?

SPEAKER 2: Thanks, Seth.

Thanks, Justin.

I'm loving your guys passion.

My question is, given the fact that just two years ago,

you didn't have access to this,

how are you preparing your clients and

yourself for the continued change,

the pace of innovation that's just blistering?

SETH JUAREZ: The question, it's great.

How are we preparing folks for the continued change?

JUSTIN FINEBERG: Look, I think

the way that I think about this

and you saw first hand.

We were all at the Keynote the other day,

Sam Altman came out,

and he said, "You can now

add intelligence to your product."

I sat there and I thought I go,

I don't really know what that means.

I don't think anyone

really knows what that means at this point.

I think the key takeaway

there is that there really aren't any experts.

The playbook hasn't been written.

My advice to clients,

to developers is to approach AI with

this level of just curiosity and experimentation,

knowing that hey,

we all don't really know what the future holds.

We don't know what the next model looks like.

If you go into it with just this experimentation,

this curiosity, this willingness

to just act like a start up, move fast.

I think that's how you prepare

yourself and the AI generation,

whether you're building products or just looking

to enhance productivity internally.

That's the way that I recommend.

SETH JUAREZ: I love it, because we don't

know what the future looks like.

Everyone here that's watching and in person,

they get to make the future what they want with this.

Looks like we have another question coming up.

What's up from digital audience?

SPEAKER 1: This one's from Kate online.

Kate is asking, what are the biggest mistakes you

see companies make when they begin their AI journey?

SETH JUAREZ: What are some of

the biggest mistakes companies

from Kate that they make when they

start their AI journey?

JUSTIN FINEBERG: I think that the mistake that

companies are making in a lot of

ways are they're so focused on adding AI for AI sake.

They're not as focused on actually solving real problem.

I think that's one thing here

that there's obviously a lot of interest.

There's a lot of push to jump in and use it.

But ultimately, AI is a solution to a problem and I think

it's important to remember

that no matter you're building products,

you're trying to solve internal productivity

gains, whatever it is.

Start with the problem and

then move back to the solution,

and in a lot of cases, that solution will be AI.

But that's the way I would think about it.

SETH JUAREZ: You know what? I have

the privilege sometimes of giving

talks at different places around

the world and I always ask,

how many of you have had your manager say,

you need to put AI in your product and

almost every one of them raise their hand.

People are having a hard time

because there's like this inversion of,

well, let's find

a problem first and then see how AI can solve it.

Do you have any tips for how people can do that?

JUSTIN FINEBERG: To figure out?

SETH JUAREZ: Is there a rule of

thumb or some principles of like,

that's an AI thing that you could do?

JUSTIN FINEBERG: I think it goes back to what I said,

which is just this experimentation.

I think there's a lot of low hanging fruit.

When you dive in and you use something like ChatGPT,

or use any AI product.

Just look at those use cases that

are very clear and evident on the surface.

Don't try to automate

all of your work, automate your company.

I think there's a lot of false promises out there.

There's a lot of flashy demos out there.

But really starting with first principles,

what are the things that directly this thing can solve?

That's the way I approach is, is focus on

that low hanging fruit initially,

and then expand from there.

SETH JUAREZ: I love it.

Looks like we have a question from the digital audience. What do we go?

SPEAKER 1: Yes. A little

bit more about Cassidy.

From Susan in the chat, she is asking,

is there any training course

that is provided to learn how to

use Cassidy for a non tech savvy individual?

SETH JUAREZ: Question. Is there

a training or non tech savvy?

I bet she's way more tech savvy than she says,

to use Cassidy for someone that's non tech savvy?

JUSTIN FINEBERG: This is something we prioritize

aggressively at Cassidy.

I think every AI product, every developer needs to

think about this is that this is a new paradigm shift.

Using AI tools is generally new.

If you're at the developer conference, you use ChatGPT.

A lot of people have never used it.

When we think about how do we

actually drive this disruption with Cassidy,

we're focused on how do you build the resource library?

How do you provide weekly webinars?

How do you provide just aggressive amounts

of content so that people can

learn as much as they need

when they're using an AI tool like Cassidy.

I think it's something that every AI company,

every person who's building AI should think about,

is how do you include the education in the product?

SETH JUAREZ: That's really

cool because there's moments even and

I've been doing AI forever, I'm like a dinosaur here.

But there's moments where certain AI

clicked and you're like,

I know what this is,

and that's what you've got to do when you

help people use AI as well?

JUSTIN FINEBERG: Exactly.

You've got to get people to

the aha moment and that's never changing.

SETH JUAREZ: It looks like we

have an imperfect question.

Go ahead.

SPEAKER 3: Thank you for being here.

We're so excited you're here at Microsoft Build.

Curious about what the future of Cassidy looks

like and what you're excited about coming up?

SETH JUAREZ: I didn't hear it very well.

Can you just one more time a little bit louder.

SPEAKER 3: Sure.

What do you see the future

of Cassidy looking like?

Where is it going to go? What are you excited about?.

SETH JUAREZ: Future of Cassidy. Sorry.

JUSTIN FINEBERG: We are really focused

onboarding the next million users in the AI,

the people who haven't tried the technology,

haven't had the aha moment.

I think non technical people

need that additional help that

us technical people might have more of

a ability to play with tools, understand them.

I think for Cassidy, we want to keep

building experience that makes it

easy for people non technical,

people who don't know what an API is to

really build custom automations,

something that they are excited about

now that they've seen how powerful the technology is,

but have really no idea how to start.

SETH JUAREZ: That's amazing

because, like I said,

this technology can be transformative but we need to

manage the hype as well so that we

can get to solutions that really help people.

Well, thank you so much for being with us, my friend.

JUSTIN FINEBERG: Seth, it was amazing being here.

SETH JUAREZ: Thank you so much.

Make sure to look up more

about Justin at aka.ms@justin-fineberg.

They've put it below. Thank you so much,

and we'll see you in a little bit.