AI Challenge: Day 2

Hey friends,

Yesterday we launched our 30-day AI Challenge! The reaction has been amazing ❤️ Let’s keep it going! What’s in the store today?

• 😍 Which AI-Assistant idea is your favorite? #voting

• 🏄️ Companies will have “own brains” #predictions

• 🤖 AI 101 & Prompt Engineering #AI-Topic

• 📸 Screenshot → AI Analyzes Feedback #AI-Hack

• 😎 How to access our GPT-4 for free? #AI-Mentor

Let’s do this!

😍 Which AI-Assistant idea is your favorite?

We want to build stuff that helps you work less and smarter.

Here is the list with ideas for 16 AI-Assistants.

Vote and/or add your ideas here.

🏄️ Companies will have “own brains”

We're moving beyond an era where the internet democratized information, stepping into a time where AI democratizes intelligence.

This shift is more than just a technological leap; it's a fundamental change in how we tackle workplace challenges. We've long discussed the best practices for distributed work, but turning these ideas into an operational reality has been a complex puzzle. Now, 65% of execs say AI will have a high impact in 3-5 years.

What does AI bring to our table?

• Contextual Intelligence - using AI's deep insights for smarter decisions and operations to tackle our company's challenges head-on. We're entering

• The Augmentation Era - where AI systems enhance our capabilities, blurring the lines between human and machine roles.

Picture a world where AI is your "company brain," holding all the context on operations and culture. It's a world where meetings that could've been emails are a thing of the past, where mentorship is elevated with real-time insights, and team dynamics are fine-tuned for flawless project flow.

And guess what? We're not far from this world.

🤖 AI 101 & Prompt engineering

I asked AI to explain the most common industry terms as if you were a 5-year-old 👶 . There you go!

AI is like a big umbrella that covers lots of cool tools.

1. One of these tools is ML (Machine Learning),a smart friend who learns from stuff you show them.

2. Then, there's NL (Natural Language Processing) which helps computers talk to people just like a friend would.

3. Lastly, under NLP, there's a super smart buddy called LLM (Large Language Models), who reads lots of books to talk even better with us!

Nice huh? So now let me give you a cheat sheet on how to talk with AI effectively.

It’s called Prompt Engineering - a practice of crafting and optimizing prompts to maximize the effectiveness of language models for various tasks. It's a vital skill for anyone interacting with LLMs.

By following a structured approach, you can generate more precise and useful outputs. Here’s how to apply the 6-Step Prompt Formula to master your AI interactions.

✍️ How to respond ultra-fast to comments in docs

Did you know AI can now interpret screenshots of documents with comments?

Last week, with the launch of GPT-4 with Vision, I realized this.

Receiving a notification that reads “New comments added” will no longer be a headache. AI is here to assist!

😎 How to access our GPT-4 for free?

As mentioned in yesterday’s post, we'll take care of the OpenAI API fees up to $2,000. Access AI-Mentor now, completely free, and try out our newly launched AI onboarding experience that guides you from the first step.

PS. What topics would you like me to cover for the next 30 days?
Just hit “Reply” and let me know 🙂 

See you tomorrow,

Iwo