100 Days of AI, AEC, AECO, AI, BIM, Coding, Learning, VDC

100 Days of AI – Phase 3 Recap

The BIMsider

As we dive into the third phase of the #100DaysOfAI challenge, things are getting interesting! We’re building on the strong AI foundations and exploring cool use cases from earlier stages. This phase is all about putting our new AI skills to the test on “real-world” problems and pushing the limits of what we can do with the tech we’ve gotten the hang of. Come along as I chat about the adventures and breakthroughs in this final stretch, where we’re turning theory into practice and learning into some seriously cool innovation.

To set the stage for the Phase 3 recap, here’s a quick reminder of the themes that have characterized the three phases. If you just want to get the Final Thoughts, skip to the end.

  • Phase 1: Al Foundations
  • Phase 2: Learn the most versatile AI use cases
  • Phase 3: Apply your AI skills to real world problems
Journey Map – Phase 3

Now, let’s move on to the final phase of this 100-day journey. If you missed any of the earlier recaps, you can find them using the links below.

Catchup, Rest and Prep Week

Days 41 & 42 weren’t strictly part of Phase 2 or Phase 3 but were designated as catch-up or rest days before the official start of Phase 3 on day 43.

This may be music to your ears, well who knows BUT…today is catchup day. Yep, nothing fancy but simply a day for you to either catch up on any lessons you have missed so far or to simply take breath and recharge. 

In fact we have another rest day tomorrow too so you have the weekend off before Phase 3 begins!!

Part of the day 41 email

Days 43 – 49 served as the preparation week to get everyone participating in the 100 days of AI ready for the Phase 3 missions starting the following week. Throughout the prep week and the subsequent five missions, the cadence followed a pattern: five days (Monday to Friday) for the introduction or mission, followed by two days (Saturday and Sunday) of “Shots of Inspiration”.

What are “Shots of Inspiration” you ask?

Shots of Inspiration are stories from fellow learners who have been where you are and have emerged with achievements that are nothing short of amazing. These are tales of perseverance, creativity, and the incredible things that happen when passion meets possibility.

As this is the first round of the 100 Days of AI, the shots of inspiration are drawn from the 100 Days of No-Code, a similar challenge with a focus on no-code that has been ongoing since 2020 and is also run by the same team.

the process of Phase 3 Intro (Prep) Week and the following Missions

As part of the Day 43 email, marking the beginning of Phase 3, there is an “Opt Out Clause.” I will discuss this in more detail as part of my final thoughts at the end of this post.

Opt Out, in case you didn’t want to do the Phase 3 missions

Missions

Days 50 – 89 mark the heart of Phase 3. This segment of the phase is about applying the tools and skills learned in the first two phases (and Phase 3 prep week) to tackle “real-world” challenges in the form of 6 missions.

Mission 1 (5 days)

Mission 1 outline

For me, Mission 1 was centered around utilizing AI to assist in research and development (R&D). As an integral part of this mission, a “real-world” scenario for a start-up developing a mental health app was presented, and here is ChatGPT’s summary of that Mission 1 brief.

As a Product Manager in a tech company venturing into the competitive health and wellness app market, your crucial mission involves conducting comprehensive research on mental health apps. The goal is to understand user needs, identify market gaps, analyze competitors, and navigate regulatory considerations, aiming to develop a standout app that addresses rising mental health awareness and positions the company as a leader in the health tech space.

My goal was to keep with the 30 minutes per day, which would not be enough time to actually create a mental health app. So what I did instead was use AI tools Zenfetch and ChatGPT 3.5 to do a Proof of Concept (PoC) for a mental health app for university students. You can review my PoC on what can be done in 30 minutes HERE.

Mission 2 (5 days)

Mission 2 outline

For me, this mission was about helping a startup gain control over the leads pouring in from various sources. In the emails for Mission 2, we were informed that there was no need to adhere to the 30-minute limit, which is why the missions spanned 5 days. However, I consider the 30-minute time limit each day as part of the challenge, as I work best under deadlines. Therefore, I stuck with the 30 minutes, dedicating 2 out of the 5 days to actual AI work. Before exploring what I accomplished for Mission 2, here is ChatGPT’s summary of the Mission 2 brief.

The startup is grappling with a significant challenge as inefficiencies in handling inbound leads and data collection result in the loss of over 200 potential customers monthly. The absence of a unified system leads to ineffective lead nurturing, a fragmented view of lead generation performance, and challenges in making data-driven marketing decisions. The mission is to leverage AI and No-Code tools to establish a streamlined system, capturing and nurturing leads while offering a comprehensive view of lead generation efforts for informed decision-making and strategic planning.

For this mission, my goal was to efficiently organize leads from various sources, prioritizing a short learning curve and easy data sharing. I found a solution in Rows, a modern spreadsheet tool with AI capabilities and over 50 integrations to ensure data accuracy. The most challenging aspect was extracting actionable data from the “real-world” example provided. To enhance the depth of my Proof of Concept (PoC) for Mission 2, I utilized Mockaroo to create additional data. You can explore the capabilities of Rows and review my PoC data with this link HERE.

Mission 3 (5 days)

Mission 3 outline

As this challenge is the first for the AI, it has been tweaked along the way based on user feedback. This week’s mission is a great example of that as the mission brief was much shorter and to the point (no need for ChatGPT to summarize this time) and they also changed (in my opinion improved) their Toolkit section to include Prior Knowledge. This means instead of just a general overview of how AI could help with the mission, there was a reminder given of past lessons from Phases 1 & 2 of the AI and No code challenges to help get you started.

Mission 3 feedback tweaks

For me, this mission was about helping the residents of a small fictitious town called “Greenwood” connect and engage with their community. This meant creating a platform that shared information about local events, businesses, and volunteer opportunities. Once again, my plan was to stick to the 30-minute timeline, choosing a simple landing page as the solution. However, given this was an AI challenge with a side of no-code, I also aimed to ensure some level of automation for easy upkeep of the landing page. Before delving into the ‘how,’ here is the Mission 3 brief.

Imagine a small town, “Greenwood,” whose community events, local business promotions, and volunteer opportunities are often overlooked due to lack of awareness and disjointed communication channels. Your mission is to create a web application that serves as a central hub for Greenwood, bringing together residents, businesses, and organizations in a cohesive, interactive platform. This app will not only foster community spirit but also support local commerce and volunteerism, making Greenwood a more connected and vibrant place to live.

To quickly build a landing page with no code, I started with Replit which uses AI to swiftly generate websites by creating the HTML, CSS, & JS code for you. I then used ChatGPT 3.5 to address additional questions about enhancing and adding more content to the landing page. I while doing some R&D I found SheetDB, the perfect tool to convert my Google Sheet to an API and connect it to the landing page. This meant that when new businesses and their information were added to the Google Sheet, they would automatically be reflected on the landing page. As I continued working on the landing page, some questions I had about Google Sheets and Google Forms were beyond ChatGPT’s knowledge cutoff of January 2022. So I gave Google’s Gemini Advanced (2-month free trial) which worked well as the questions were all about Google products. I then embedded a Google Form into the landing page so community members could apply to volunteer. To streamline this process, I used an add-on for Google Sheets called Form Ranger to automatically add the business names to a dropdown in the form. The final piece of automation was implemented using Zapier to send out an email once a request to volunteer was received on the landing page. I used Microsoft Copilot to create some nice visuals for the landing page with the help of DALL-E 3. You can check out the final landing page HERE

A quick P.S. to Mission 3, the 60 minutes does not include R&D time, of which there was a good amount. However, after doing said R&D, the 60-minute time frame would be valid the next time around.

Mission 4 (5 days)

Mission 4 outline

With mission 4 came another adjustment to the mission workflow. For the first three missions, each of which lasted five days, there were only two days of what I call “exercises” – these are the days dedicated to working on the mission outcome. Day 1 was for prepping, or as the mission briefs would say, “reading only”. Day 2 was for beginning the build, and Day 3 was for expanding your build. Day 4 was for reflecting on what you built, and Day 5 was for celebrating your achievement. Then the weekend was for relaxation and drawing inspiration from two days of “Shots of Inspiration”. This meant that over seven days, you really only spent two days actively working on the mission. With mission 4, however, this changed, as the brief gave us five full days of “exercises” to keep us busy for the entire week. For me, this was a welcome change!

Part of Mission 4 kick off email

For me, Mission 4 once again felt a little too vague and skewed towards the world of marketing. I understand that this challenge is primarily geared towards the sales and marketing domain, and as an AECO tech nerd, I knew I’d have to adapt. However, after Mission 3, which presented a clear objective, and with the new Mission 4 workflow of small daily activities over the full five days, I had gotten my hopes up for this mission. Below is the Mission 4 brief for your review before I discuss how I approached the mission. 👇

You’ve noticed a growing trend: competitors leveraging advanced AI tools to create dynamic, personalized campaigns that resonate deeply with their target demographics. Meanwhile, your current strategies are showing diminishing returns. There’s a pressing need to innovate quickly and efficiently, but traditional methods are time-consuming and increasingly ineffective.

Your mission is to break free from outdated practices by embracing AI and No-Code tools, propelling your marketing efforts into a new era of creativity and engagement. The challenge? To do so in just five days, transforming your approach to connect with your audience in ways you never thought possible.

One of the AI generated Insta posts for “Non Kommon Deesign”

For Mission 4, I created a fictitious Architecture Design firm called “Non Kommon Deesign.” I then used this “client” as the basis for what I was going to do during this mission. Day 1 was all about finding out what the mission would entail and doing some research with ChatGPT 3.5. The bulk of this week’s mission work happened on Day 2 (Day 72 overall) when I created an Instagram clone to test the AI-created social media content. I found a new alternative to ChatGPT that I worked with for some of this mission called “Pi“. In general, Pi is like other GPTs or chatbots, but it has been designed or trained to be more “human” and emotionally intelligent. You can also have it speak to you (this can be done with other platforms too), which for me, working with Pi and the content it creates, seems less robotic or stiff and academic, making it feel more like a natural conversation or reply (although you can’t talk to it yet) I also worked with Gemini Advanced (free 60 trial) for this mission. I find that the advanced version handles code better than others I have used. I needed this, as I wanted to create a simple “Instagram”-like site to have a place to display my AI-generated content for this mission.

The Gemini Advanced prompt and resulting code for my “Instagram” like site

The pictures for my five Instagram posts were created using Adobe Firefly and DALL-E 3 (with Copilot). You can view all the posts and their respective pictures HERE

Day 3 involved returning to ChatGPT 3.5 for further research, this time focusing on SEO and personalized segmentation for the client and their target market. Additionally, I explored Copy.ai for this mission (day 2 & 4), which help to create the Instagram content based on a “Brand Voice” that Copy.ai helped me to create reflecting the values of “Non Kommon Deesign.” Copy.ai also enabled me to set up a weekly email that generates five posts per week based on designated topics. These posts include citations indicating the sources of information or data within them.

As a tech nerd, building the Instagram clone was hands down the most fun part of the whole mission for me. Marketing and sales, though? Not so much. I’m not exactly a marketing whiz, and the simulated client scenario didn’t help. Still, I get that learning this stuff could come in handy someday, so I’m glad I stuck with it.

Mission 5 (5 days)

Mission 5 Outline

As you can see, Mission 5 was left entirely up to the users, which means if you had a prototype or service you needed to create, perfect. However, if like me, you didn’t have anything specific to create, then it was less than perfect. I signed up for the fun of learning about AI and discovering how to use new tools, so not being given any direction for this mission was a letdown. Below is the Mission 5 brief for your review before I discuss how I tackled the mission.

The journey from idea to prototype is often fraught with challenges, from lengthy development times to technical limitations. However, the advent of AI and No Code tools has revolutionized this process, offering a faster, more accessible path to innovation. Your mission this week is to harness these technologies to bring your entrepreneurial idea to life, choosing between two distinct paths based on your interests and goals:

Those two paths mentioned in the mission brief are summarized below 👇

  1. Permissionless Apprenticeship: This essentially means that if you’re familiar with a product, app, or service that could be improved and you believe you can contribute, simply take action!
  2. Your Unique Prototype Idea: As the name suggests, if you have an idea, don’t hesitate to pursue it!”

I spent the first couple of days trying to come up with an idea to work on. Again, for me, part of the issue was not having a third option for this mission, a ‘stock’ idea for people to follow along with if they didn’t have an idea of their own. However, by day 2, I realized that I could use AI to help me generate an idea for this mission. I decided to experiment with six different Large Language Models (LLMs) to see how each of them handled my questions.

  • Can you suggest some AI based tools I could create for my 100 days of AI challenge that could be created using existing AI & No-code tools. It would be good if these ideas you give are for the AECO industry, but not required to be for that industry
  • How about 10 more options, they don’t have to be AECO based, that could be done with the 30 minutes per day (4 days total) using existing AI and No-code tools

I tried these 6 LLMs

I received similar but different answers from all of them, along with some completely unique responses. I particularly liked one of the options provided by Gemini Advanced, so I chose it for my Mission 5 task.

AI Recipe Generator: Input ingredients on hand, dietary restrictions, or a cuisine style, and get unique recipe suggestions tailored to you.

After conducting some research, I quickly realized that I wouldn’t be able to achieve what I wanted using existing No-code tools. This meant I would have to rely on my limited coding skills and seek assistance from a couple of AI assistants.

I began work on my “Recipe Find ‘n Chat” app, which allows users to select 1 to 3 recipes from the Spoonacular API Database based on a main ingredient. Additionally, there’s a chatbot feature enabling users to ask questions about the recipes, food or cooking in general. With a bit of coding background, I decided to develop this as an HTML, CSS, and JS app. Recognizing the project needed more than my skill set, I ask for some assistance from Gemini Advanced (60-day trial) to kickstart the process. Thanks to my AI assistant, the portion of the app that retrieves the recipes from Spoonacular came together swiftly.

Unlike the first part of the app, setting up the chatbot required significantly more effort and the introduction of a new AI assistant, Pi. Initially, the plan was to utilize the OpenAI API to create a chatbot using ChatGPT 3.5. Getting the API key was straightforward, but coming up with the necessary code to make it work as desired proved more challenging. It burred the final few days of the mission, extending into the weekend until I finally had success. This experience taught me that getting into coding beyond my expertise, and relying solely on an AI coding assistant can lead to complications. To navigate this challenge, I switched LLMs (Gemini Advanced) to Pi and then back again to approached the problem a little different. I asked for assistance in adding a chatbot to my simple HTML, CSS, and JS webpage, requesting an explanation as if I were a beginner coder. I realized the importance of understanding the process and desired outcomes, even when seeking assistance with coding. It underscored the necessity of not aiming for the most challenging objectives from the start, but build up to them as your skills grow.

This mission started out as a disappointment for me, with no clear direct or tutorial to follow. However as I progressed though it and stared working on my “Recipe Find ‘n Chat” app I did learn more about coding and using AI tools, so maybe that was the point of the mission all along?

Mission 6 (5 days)

Mission 6 Outline

Similar to mission 5, mission 6 came as just a general brief. Unlike mission 5 I was ready for this one knowing that we would be putting together a portfolio near the end of this challenge. Take a look at the official brief below 👇

Creating a portfolio that truly represents your skills and learning experiences can seem daunting. Traditional methods may involve complex web development skills or settling for static, less engaging formats. However, AI and No Code tools offer a new avenue for innovation and personal expression. Your mission is to leverage these tools to build a portfolio that not only houses your work but also tells the story of your learning journey in an interactive and engaging way.

My original plan for the portfolio was to use a No-code tool to get it set up quickly. There was even one that integrated with Notion, where all the missions got stored as part of Phase 3. However, the more I explored “Typedream” the less I felt it suited this project. Don’t get me wrong – it can create a website in minutes, including portfolios – but it lacked the customization I desired at the price point I wanted. So, I turned back to one of my trusted AI coding assistants, Pi, and got to work on my portfolio. After my experience with coding with the help of AI in the previous mission, this one came together pretty well. That’s not to say I didn’t run into a glitch or two, but I was more equipped to deal with them this time around. The most challenging part was the time it took to embed all my X posts (tweets) into a dedicated page in the portfolio. You can see the latest version of the portfolio HERE

I learned a couple of things from the final mission of the 100 Days of AI. First, I realized that I had been mistaken; this wasn’t the first session of the 100 days of AI. There had been at least one before, as we learned about Marc Fletcher during the shots of inspiration after mission 5, and his 100 days of AI Journey. The second thing I learned was that it’s okay to ask AI a question more than once. In fact, sometimes it’s even better to ask the question a second, third, or fourth time, armed with what you learned after asking it the first time.

A quick note: Although many of the tools used have paid versions, I utilized the free or trial versions for my tasks and exercises.”

Reflection

Days 90 – 100 are the gradual winding down of the 100 Days of AI Challenge. These final 11 days are dedicated to reflection, rather than introducing new learning or content. It feels like a missed opportunity; perhaps another mission could have been incorporated, with reflection reserved for the last 4 days.

Part of Day 90 email

The Stats:

  • Mission Days = 30
    • Days that are part of the actual mission
  • Non-Mission Days = 30
    • Days that are not part of a mission
  • “Exercise” Days = 23
    • Days working with an AI tool or workflow, as part of a mission or not
  • “Non-Exercise” Days = 37
    • Days of rest & reflection, reading mission briefs, prep or inspirational days

The AI & No-code Tools Used:

  • Intros – Say hello to engagement on autopilot. Integrate with Slack, Email, Discord, etc. and start making tailored connections that drive results
  • ChatGPT from OpenAI – Get instant answers, find creative inspiration, learn something new.
  • Chipp – Build a custom ChatGPT without code. Share it with your audience or sell it to build your business.
  • Zenfetch – Unleash your digital wisdom. Zenfetch helps you leverage all the information you’ve saved including articles (bookmarked websites), PDFs, and YouTube videos.
  • Rows – The spreadsheet where data comes to life. Connected to your business data. Delightful to share. Rows is how teams work with numbers and share their results.
  • Copilot from Microsoft – Achieve anything you can imagine with your everyday AI companion.
  • DALL-E 3 (as part of Copilot) – DALL·E 3 understands significantly more nuance and detail than our previous systems, allowing you to easily translate your ideas into exceptionally accurate images.
  • Gemini from Google – Supercharge your creativity and productivity. Chat to start writing, planning, learning and more with Google AI
  • SheetDB – Turn a Google Spreadsheet into a JSON API. Connect Google Sheets to CRM, API, Website, WordPress, or any application or tool.
  • Replit – Build software collaboratively with the power of AI, on any device, without spending a second on setup.
  • Form Ranger – Allows you to auto-populate the choices in list, multiple choice, checkbox or grid question options from columns of data in any Google Sheet or Doctopus roster
  • Zapier – No more waiting for developers to bring order to your apps. Use Zapier to tame the chaos with automation and accomplish more with less work.
  • AI Humanizer – This AI Humanizer produces 100% human-like and plagiarism-free text, capable of converting AI text produced using ChatGPT, Grammarly, Bard, QuillBot, Jasper, or any AI writer to human-like text.
  • MyMemo – Transforming Personal Data into Wisdom. Harness the Power of AI to Organize, Analyze, and Retrieve Your Digital Knowledge Seamlessly
  • HuggingChat – Making the community’s best AI chat models available to everyone.
  • Pi – The first emotionally intelligent AI. Hi, I’m Pi. I’m your personal AI, designed to be supportive, smart, and there for you anytime. Ask me for advice, for answers, or let’s talk about…
  • Copy.ai – Create content, enrich your CRM, scale your prospecting efforts, and much more. Our AI platform is designed for your entire GTM team. Install our powerful, pre-built workflows — or build your own in seconds.
  • Adobe Firefly – With simple text prompts in over 100 languages, you can generate images, add or remove objects, transform text, and so much more.
  • wrk – Pay-as-you-go process automation. Turn your To-Dos into Ta-Das. Automate your tasks with workflows powered by one platform. $35 in free credits each month
  • ideogram – Introducing Ideogram 1.0: the most advanced text-to-image model, now available! This offers state- of-the-art text rendering, unprecedented photorealism, exceptional prompt adherence, and a new feature called Magic Prompt to help with prompting.
  • Nylas – Nylas saves engineering teams time so they can build secure and engaging communication experiences their customers love.
  • Typedream – Let AI turn your ideas into a website in minutes. Get content, structure, and style done for you, ready to edit and publish instantly.
  • Aqua Voice – Voice-Native Text Editor. Dictate, Edit, and Transform using Natural Language.
  • Scrimba – Scrimba is an online code editor and online coding courses (free and paid) that include AI courses (free and paid)
  • Zapier Chatbots – Free up your team to do the work that matters most. Create an AI chatbot that answers questions, resolves issues, and nurtures leads with the power of automation
  • Pickaxe – Launch your own AI storefront with custom GPTs, branding, and expertise to create an immersive shopping experience.
  • Graphlit – Our platform. Your applications. Any unstructured data. For developers building chatbots, copilots, or vertical AI applications with domain-specific data.
  • Loom – One video is worth a thousand words. Easily record and share AI-powered video messages with your teammates and customers to supercharge productivity
  • Tella – Create incredible videos. Screen recording for creators — simple and powerful.
  • IKI AI – Intelligent Knowledge Interface: Smart library & Knowledge Assistant for professionals and teams. All your knowledge is searchable with queries in natural language

The AI Frameworks or Mindsets Used:

  • Agency Mindset
    • You take charge of your learning journey, fostering a sense of responsibility toward your progress and outcomes.
  • Growth Mindset
    • You understand that setbacks are part of the learning process, encouraging you to persevere through difficulties and view challenges as opportunities to grow.
  • Building in Public Mindset
    • You engage in collaboration and support among peers, leveraging the collective knowledge and experience of the community to overcome obstacles and enhance learning.
  • Sharing Mindset
    • Engaging with the community through sharing creates stronger, more meaningful connections among participants. It transforms the learning experience from an individual endeavour into a collaborative journey.
  • Design Thinking (IDEO) Framework
    • Provides a structured approach to creativity, encouraging divergent thinking to explore multiple solutions before converging on the most viable option, helping you navigate complex problem spaces.
  • Minimum Viable Test Framework
    • Helps you identify the smallest experiment needed to test the core value proposition of your idea, allowing for quick validation without extensive resources.
  • Jobs-to-be-Done Framework
    • Helps you understand the underlying reasons why customers “hire” a product or service, focusing on solving real problems and fulfilling actual needs.

Just before we get to the Final Thoughts for the 100 Days of AI, here are my 5 top takeaways from Phase 3 of the 100 Days of AI:

  1. Rabbit Hole Tweet (Mission 1)
    • Just because you are using AI, that doesn’t mean you can’t end up going down a rabbit hole or two.
  1. Rows (Mission 2)
    • In Mission 2, I discovered a modern spreadsheet tool called Rows, that enables collaboration with AI and automation in ways others simply can’t match. It boasts numerous excellent integrations, offers a free tier, and provides the ability to extract tables and lists directly from webpages using RowsX.
  1. SheetDB (Mission 3)
    • During Mission 3, I stumbled upon a no-code tool called SheetDB, and it completely blew my mind. It’s incredibly user-friendly, seamlessly integrates with Google Sheets, and offers extensive functionality even on its free tier. Once you’ve established your app workflow, you can easily transition to the paid level. I’m confident I’ll utilize this tool again; in fact it plays really well with Zapier if you’re looking for any ideas. 😉
  1. Pi & Copy.ai (Mission 4)
    • Mission 4 was quite fruitful—I discovered not one, but two standout AI tools that I’ll definitely use again. While I’m not heavily involved in marketing or content creation at the moment, I truly appreciated the value that “Copy.ai” can offer to anyone operating in those domains.
  • If you’ve read about all six missions, then you know I enjoy using ‘Pi,’ the first emotionally intelligent AI. The creators of Pi have designed it in such a way that interacting with it truly feels like having a conversation with another person. It doesn’t feel as cold or stiff as using other AI (LLM) tools. You can also have it talk, or read its comments back to you (others can do this too), but with its relaxed tone and more human style, it just works with Pi.
A typical chat with Pi, this one from Mission 4
  1. Ask and Ask Again (Mission 5 & 6)
    • I did this in mission 5, and realized in mission 6 that it was a mistake but in fact a useful workflow for working with AI Chatbots (LLMs).

When working with an AI “Assistant”, it’s about how you ask or re-ask the question. In fact, sometimes it may be better to start a new conversation altogether with the data you learned from the first one to achieve a more concise outcome. This can be a learning experience for both the human and the AI.

Day 88 X post (tweet) with come update spelling and grammar ‘coz you can’t edit a tweet (X post) after an hour even if you pay 😦

Final Thoughts

The Final Stats:

  • “Exercise” Days: 10 + 21 + 23 = 54
    • Days working with an AI tool or workflow, as part of a mission or not
  • “Non-Exercise” Days: 3 + 6 + 37 = 46
    • Days of rest & reflection, reading mission briefs, prep or inspirational days

The Good, The Bad, The Reflection

Okay, here we are at the end: 100 days have come and gone. During this time, we’ve shared over 100 X posts (tweets), completed 6 missions, worked on 5 projects, published 3 blog posts, and learned numerous new AI and no-code tools.

The Good:

I learned a lot about Artificial Intelligence during these 100 days, far more than I expected from just 30 minutes a day, including many cool AI and no-code tools. Throughout this journey, I discovered resources, connected with people, and explored products that extended beyond the scope of this challenge, all thanks to the exercises and missions I completed. I truly appreciated the 30-minute format; the microlearning mentality is wonderful and not only keeps you learning but also keeps you excited about what you will discover tomorrow.

The Bad:

With the good, always comes the bad; nothing is ever perfect. For me, the biggest issue with the challenge was the number of “Reflection days” – days when there were no exercises to do. By my count, there were almost as many non-exercise days as exercise days. It could have been the “75 Days of AI”, or with 50% more exercise days. Another thing for me was the lack of tutorials or example options to follow along with in the missions, similar to the exercises in Phases 1 and 2.

With all that being said, I do understand the immense amount of work that must have gone into the 100 daily emails. Each one contained a sizable amount of content, much of which was new, so there were no “easy” days. In addition to the emails, there was the effort invested in the “30-minute” exercises and the six week-long missions. All in all, hats off to the hard work and dedication put into all these tasks. Really impressive stuff!

The Reflection:

For me, the good outweighs the bad, and I would do this challenge again. In fact, I plan on doing thee 100 Days of No-Code now that this one is over. I will also say that Max and the team at 100 School (which is what it’s now called) listen to feedback and are always asking for it to ensure they improve the challenges. In fact, they made changes to the mission workflows in this version of the challenge – more than once, in fact – based on user feedback. That is the mark of a great organization.

So, to wrap up, if you have been following along and are interested in learning about AI or No-Code, I would highly recommend taking one or both of these 100-day challenges. One last bit of advice: if you plan on taking both, start with No-Code. It will improve your AI challenge experience.

Day 100 I made it!!

Until next time, enjoy the AI journey.

All the Links: bio.link/thebimsider

Note: The images in this post, unless noted otherwise, were created using AI (Copilot & DALL-E 3)

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