All Resources

Is MIT Sloan's: "AI: Implications for Business Strategy Online Short Course" worth the money?

Hey everyone, I'm a CPA and have no IT background, but since I have some time in October due to a career break, I was thinking about taking this course: https://www.getsmarter.com/products/mit-sloan-artificial-intelligence-implications-for-business-strategy-online-program?focused=true I think it might be an interesting start to become an early follower in this whole AI story in Finance and Audit. I honestly don't see myself coding, and I don't think that's what would be expected from me as a Finance Manager in the future. But... $4,300 is quite a price tag for an online course. But then again, if I want to effectively use it in a next career step, it would probably pay out to have an actual certificate instead of one of the many (certainly very good) free courses. ​ What are your thoughts? Does anyone have experience with this or a similar program?

AI for Business: FREE Practical Course & Tools on YouTube

I worked for 15+ years in AI, created “AI for Business” to help any non technical professional learn and apply AI in their work. FREE course on YT + 6 tools (use-case gallery, ideation canvas, idea evaluation, POC template, team roles, & more) Course Link. Outline: https://preview.redd.it/nxh1952rqxad1.png?width=1744&format=png&auto=webp&s=4d31acdec5b0375734dcc49b1c0be81bc3e605e6

AI Courses for Business Leaders

I’m been spending a last few months learning the fundamentals of AI through blog post, podcast and did online short course on intro to AI from IBM and Coursera. And looking to take the “next step” either through a certification program (I don’t care about the cert - but more so learning opportunity) offered through MIT, Penn, etc…they seem like a money grab and not confident I will get what I am looking for through them. Are there better options? Willing to spend money, open to learning online/hybrid through a structured curriculum or patch-work solution online —- just need insight on a path forward. I’m not looking to pivot, but rather learn about the technology, seek opportunities to incorporate elements of it into our organization - and for also, I’m genuinely interested in its potential - from an application/deployment/business perspective. I’m 40yrs, senior leader focusing on innovation and entrepreneurship in emerging economies - pretty tech savvy (though not from a CS background) and looking for a new learning opportunity to stay ahead of the curve and leverage it to our organization’s mission. Many thanks in advance!

Browser Agents Real Example

I made a Browser Price Matching Tool that uses browser automation and some clever skills to adjust your product prices based on real-time web searches data. If you're into scraping, automation, or just love playing with the latest in ML-powered tools like OpenAI's GPT-4, this one's for you. What My Project Does The tool takes your current product prices (think CSV) and finds similar products online (targeting Amazon for demo purposes). It then compares prices, allowing you to adjust your prices competitively. The magic happens in a multi-step pipeline: Generate Clean Search Queries: Uses a learned skill to convert messy product names (like "Apple iPhone14!<" or "Dyson! V11!!// VacuumCleaner") into clean, Google-like search queries. Browser Data Extraction: Launches asynchronous browser agents (leveraging Playwright) to search for those queries on Amazon, retrieves the relevant data, and scrapes the page text. Parse & Structure Results: Another custom skill parses the browser output to output structured info: product name, price, and a short description. Enrich Your Data: Finally, the tool combines everything to enrich your original data with live market insights! Full code link: Full code File Rundown learn\skill.py Learns how to generate polished search queries from your product names with GPT-4o-mini. It outputs a JSON file: makequery.json. learn\skill\select\best\product.py Trains another skill to parse web-scraped data and select the best matching product details. Outputs select_product.json. make\query.json The skill definition file for generating search queries (produced by learnskill.py). select\product.json The skill definition file for extracting product details from scraped results (produced by learnskillselectbest_product.py). product\price\matching.py The main pipeline script that orchestrates the entire process—from loading product data, running browser agents, to enriching your CSV. Setup & Installation Install Dependencies: pip install python-dotenv openai langchain\_openai flashlearn requests pytest-playwright Install Playwright Browsers: playwright install Configure OpenAI API: Create a .env file in your project directory with:OPENAI\API\KEY="sk-your\api\key\_here" Running the Tool Train the Query Skill: Run learnskill.py to generate makequery.json. Train the Product Extraction Skill: Run learnskillselectbestproduct.py to generate select_product.json. Execute the Pipeline: Kick off the whole process by running productpricematching.py. The script will load your product data (sample data is included for demo, but easy to swap with your CSV), generate search queries, run browser agents asynchronously, scrape and parse the data, then output the enriched product listings. Target Audience I built this project to automate price matching—a huge pain point for anyone running an e-commerce business. The idea was to minimize the manual labor of checking competitor prices while integrating up-to-date market insights. Plus, it was a fun way to combine automation,skill training, and browser automation! Customization Tweak the concurrency in productpricematching.py to manage browser agent load. Replace the sample product list with your own CSV for a real-world scenario. Extend the skills if you need more data points or different parsing logic. Ajudst skill definitions as needed Comparison With existing approaches you need to manually write parsing loginc and data transformation logic - here ai does it for you. If you like the tutorial - leave a star github

Automating Tax Expertise with Custom GPT – Need Advice

Hey everyone, I'm an accountant, and I want to build a custom GPT that specializes in tax laws. The idea is to upload all relevant tax laws, regulations, and books (in PDF format) so that when I ask a tax-related question, the AI can not only provide an answer but also cite the exact legal reference. I want to automate this process so that whenever tax laws are updated, the AI stays current. Has anyone here worked on something similar? What’s the best way to structure and automate data ingestion for a knowledge-based AI like this? Any tools or workflows you'd recommend for making the AI more accurate and reliable in referencing legal texts? Looking forward to your insights!

I’m building 30 AI-powered businesses in 30 days with no experience. Here’s why.

Hey everyone! For the past 15 years, I worked in real estate development and sales, but I recently decided to make a career pivot into AI and automation.  I am starting from scratch with absolutely no experience in the space. But instead of just learning about AI, in March I'll be embarking on a challenge to build a business a day for 30 days using AI automation. Each one will be a fully functional product that could generate passive income. My goal? Learn by doing Document the entire process in public Share insights on what works (and what flops) I don't have any followers yet, but I just posted my first thread about my journey here:  https://x.com/RealEstateToAI/status/1886806315260953079 Would love to hear your thoughts: What resources did you find most valuable when starting with no experience in the space? What AI tools do you think are most valuable for automation?

How to Start Research in Computer Science & AI in 2025 – A Modernized Framework

Over a decade ago, I wrote two articles: "A Beginner’s Guide to Computer Science Research" and "How to Start a Research Work in Computer Science: A Framework for Beginners" \- that have been used at several universities around the world for the same purpose. These articles aimed to help students and early-career researchers navigate the complexities of academic research in computer science. However, since 2014, the research landscape has changed dramatically with the rise of AI, automation, and powerful collaborative tools. Now, in 2025, starting research in computer science and AI is more accessible than ever. With AI-powered research assistants, open-access repositories, and real-time collaborative platforms, researchers can work more efficiently and focus on innovation. I recently published an updated guide in The Times of India, presenting a modern “Eight-Step Approach to Research” framework that integrates the latest methodologies and tools for AI and CS research. This framework is designed to help students and researchers independently explore their chosen topics while leveraging cutting-edge technology. If you’re curious about how to streamline your research workflow, enhance your literature review process, and effectively collaborate in the AI research space, check out the article here: 🔗 How to Start a Research Work in Computer Science and AI in 2025 – An Updated Framework Block Diagram of “Eight-Step Approach to Research” in 2025 Would love to hear thoughts from the ML research community—what tools and techniques do you use to make research more efficient in 2025? Let’s discuss! 🚀

MS in Computer Science student (non-tech bachelor) applying for first Machine Learning intern/coop

Hi, I am an international student in the U.S applying for my first co-op for a Machine Learning/AI role, would love to get some advice on my current resume, thanks. I am currently in my second last semester of my 2 year's masters program in CS. I had no tech background before this program and was working in higher education administration. I have applied to about 50 positions so far on LinkedIn and HandShake and have had no responses but a few rejection emails. If you are a Machine learning professional, please help if I could improve my current project sections, I have two projects I am working on and hoping to swap them in after I finish them by the end of this semester: (1)Adaptive Learning curriculum for Spanish Language Learning (Duolingo-Inspired), which tailors lessons based on user's daily interactions (e.g., bar conversations, gym interactions). (2) DEI analytics and how they impact student performances and career outcome in Higher Ed. My interests lies in using ML in EdTech and Higher Education. But before finishing them, are my current projects passable? Also any suggestion to enhance my work experience section since they are not tech-related? Thanks! https://preview.redd.it/ww7smowjazne1.png?width=5100&format=png&auto=webp&s=289cde9aee45b2066dcfbb375fc318e7a3c5f5d7

MarkDrop

I’m excited to share my Python package, Markdrop, which has hit 5.01k+ downloads in just a month, so updated it just now! 🚀 It’s a powerful tool for converting PDF documents into structured formats like Markdown (.md) and HTML (.html) while automatically processing images and tables into descriptions for downstream use. Here's what Markdrop does: Key Features: PDF to Markdown/HTML Conversion: Converts PDFs into clean, structured Markdown files (.md) or HTML outputs, preserving the content layout. AI-Powered Descriptions: Replaces tables and images with descriptive summaries generated by LLM, making the content fully textual and easy to analyze. Earlier I added support of 6 different LLM Clients, but to improve the inference time, now this supports only GEMINI\API\KEY and OPENAI\API\KEY. Downloadable Tables: Can add accurate download buttons in HTML for tables, allowing users to download them as Excel files. Seamless Table and Image Handling: Extracts tables and images, generating detailed summaries for each, which are then embedded into the final Markdown document. At the end, one can have a .md file that contains only textual data, including the AI-generated summaries of tables, images, graphs, etc. This results in a highly portable format that can be used directly for several downstream tasks, such as: Can be directly integrated into a RAG pipeline for enhanced content understanding and querying on documents containg useful images and tabular data. Ideal for automated content summarization and report generation. Facilitates extracting key data points from tables and images for further analysis. The .md files can serve as input for machine learning tasks or data-driven projects. Ideal for data extraction, simplifying the task of gathering key data from tables and images. The downloadable table feature is perfect for analysts, reducing the manual task of copying tables into Excel. Markdrop streamlines workflows for document processing, saving time and enhancing productivity. You can easily install it via: pip install markdrop There’s also a Colab demo available to try it out directly: Open in Colab. Github Repo If you've used Markdrop or plan to, I’d love to hear your feedback! Share your experience, any improvements, or how it helped in your workflow. Check it out on PyPI and let me know your thoughts!

Backend dev wants to learn ML

Hello ML Experts, I am staff engineer, working in a product based organization, handling the backend services. I see myself becoming Solution Architect and then Enterprise Architect one day. With the AI and ML trending now a days, So i feel ML should be an additional skill that i should acquire which can help me leading and architecting providing solutions to the problems more efficiently, I think however it might not replace the traditional SWEs working on backend APIs completely, but ML will be just an additional diamention similar to the knowledge of Cloud services and DevOps. So i would like to acquire ML knowledge, I dont have any plans to be an expert at it right now, nor i want to become a full time data scientist or ML engineer as of today. But who knows i might diverge, but thats not the plan currently. I did some quick promting with ChatGPT and was able to comeup with below learning path for me. So i would appreciate if some of you ML experts can take a look at below learning path and provide your suggestions 📌 PHASE 1: Core AI/ML & Python for AI (3-4 Months) Goal: Build a solid foundation in AI/ML with Python, focusing on practical applications. 1️⃣ Python for AI/ML (2-3 Weeks) Course: [Python for Data Science and Machine Learning Bootcamp]() (Udemy) Topics: Python, Pandas, NumPy, Matplotlib, Scikit-learn basics 2️⃣ Machine Learning Fundamentals (4-6 Weeks) Course: Machine Learning Specialization by Andrew Ng (C0ursera) Topics: Linear & logistic regression, decision trees, SVMs, overfitting, feature engineering Project: Build an ML model using Scikit-learn (e.g., predicting house prices) 3️⃣ Deep Learning & AI Basics (4-6 Weeks) Course: Deep Learning Specialization by Andrew Ng (C0ursera) Topics: Neural networks, CNNs, RNNs, transformers, generative AI (GPT, Stable Diffusion) Project: Train an image classifier using TensorFlow/Keras 📌 PHASE 2: AI/ML for Enterprise & Cloud Applications (3-4 Months) Goal: Learn how AI is integrated into cloud applications & enterprise solutions. 4️⃣ AI/ML Deployment & MLOps (4 Weeks) Course: MLOps Specialization by Andrew Ng (C0ursera) Topics: Model deployment, monitoring, CI/CD for ML, MLflow, TensorFlow Serving Project: Deploy an ML model as an API using FastAPI & Docker 5️⃣ AI/ML in Cloud (Azure, AWS, OpenAI APIs) (4-6 Weeks) Azure AI Services: Course: Microsoft AI Fundamentals (C0ursera) Topics: Azure ML, Azure OpenAI API, Cognitive Services AWS AI Services: Course: [AWS Certified Machine Learning – Specialty]() (Udemy) Topics: AWS Sagemaker, AI workflows, AutoML 📌 PHASE 3: AI Applications in Software Development & Future Trends (Ongoing Learning) Goal: Explore AI-powered tools & future-ready AI applications. 6️⃣ Generative AI & LLMs (ChatGPT, GPT-4, LangChain, RAG, Vector DBs) (4 Weeks) Course: [ChatGPT Prompt Engineering for Developers]() (DeepLearning.AI) Topics: LangChain, fine-tuning, RAG (Retrieval-Augmented Generation) Project: Build an LLM-based chatbot with Pinecone + OpenAI API 7️⃣ AI-Powered Search & Recommendations (Semantic Search, Personalization) (4 Weeks) Course: [Building Recommendation Systems with Python]() (Udemy) Topics: Collaborative filtering, knowledge graphs, AI search 8️⃣ AI-Driven Software Development (Copilot, AI Code Generation, Security) (Ongoing) Course: AI-Powered Software Engineering (C0ursera) Topics: AI code completion, AI-powered security scanning 🚀 Final Step: Hands-on Projects & Portfolio Once comfortable, work on real-world AI projects: AI-powered document processing (OCR + LLM) AI-enhanced search (Vector Databases) Automated ML pipelines with MLOps Enterprise AI Chatbot using LLMs ⏳ Suggested Timeline 📅 6-9 Months Total (10-12 hours/week) 1️⃣ Core ML & Python (3-4 months) 2️⃣ Enterprise AI/ML & Cloud (3-4 months) 3️⃣ AI Future Trends & Applications (Ongoing) Would you like a customized plan with weekly breakdowns? 🚀

Technical Assitance Required

We’re building an AI automation platform that orchestrates workflows across multiple SaaS apps using LLM routing and tool calling for JSON schema filling. Our AI stack includes: 1️⃣ Decision Layer – Predicts the flow (GET, UPDATE, CREATE) 2️⃣ Content Generator – Fetches online data when needed 3️⃣ Tool Calling – Selects services, operations & fills parameters 4️⃣ Execution Layer – Handles API calls & execution We’re struggling with latency issues and LLM hallucinations affecting workflow reliability. Looking for fresh insights! If you have experience optimizing LLM-based automation, would love to hop on a quick 30-min call. Please provide your thoughts ?

What would be the most suitable AI tool for automating document classification and extracting relevant data for search functionality?

What would be the most suitable AI tool for automating document classification and extracting relevant data for search functionality? I have a collection of domain-specific documents, including medical certificates, award certificates, good moral certificates, and handwritten forms. Some of these documents contain a mix of printed and handwritten text, while others are entirely printed. My goal is to build a system that can automatically classify these documents, extract key information (e.g., names and other relevant details), and enable users to search for a person's name to retrieve all associated documents stored in the system. Since I have a dataset of these documents, I can use it to train or fine-tune a model for improved accuracy in text extraction and classification. I am considering OCR-based solutions like Google Document AI and TroOCR, as well as transformer models and vision-language models (VLMs) such as Qwen2-VL, MiniCPM, and GPT-4V. Given my dataset and requirements, which AI tool or combination of tools would be the most effective for this use case?

I'm Building an "AiExecutiveSuperAgent_Systems_Interface" between humanity and the Ai world, as well as each other... Let's Talk?

Ok... So look... This one is pretty crazy... I'm building an Ai Interface that knows me better than I know myself - Check, lots of people have this, either in reality with employees and family members, or with ai intelligence. But it doesn't just know Me... It knows how to talk with Me. It understands my language, because I've trained it to. I've also trained it to translate that to all my clients and HumanAgents, soon to become RobotAgents... The RESULT: I can literally just spend 1-18 hours talking to it, and things get DONE. Most of that time, I just say EXECUTE, or ENGAGE, or DRAFT, or DISPATCH. I feel like a secret agent communicating in codes with his agency 😂 Not great for the paranoiac in me, but it's easy to get that part under control, ya'll. It's like having a team of 10,000 people, all available 24/7, all perfectly synchronised to each other's communication styles, preferences and ultimately: WHAT DO YOU NEED ME TO DO. At the end of the it all, having run my single COMMAND through a thousand of those people, a Document is prepared that outlines the next 3 stages of the plan, along with instructions to the whole team for how to ENACT it. Sounds rather grand and wonderful... Even when I simply use it to help me come up with a filing system for my creative work... \\\\\\\\\\\\\\\\\\\\\\ Here's my current VISION, why I'm doing this AND why I'm doing it publicly despite it being top secret. VISION To create an army of User-Owned and Operated "AiSuperAgencies" which gather intelligence on the user, securely file and analyse it, and then construct a sub-army of agents and tools that work together to produce the desired output, for any Function in the Personal and Professional Lives of EVERYONE, EVERYWHERE, in 3-5 Years. To start, I'm building it for me and the 5-10 cleaners who've made it to Level 1 in my access system. They were sick of toxic employers, tyrannical agencies and greedy customers. They gathered around us (many came in, many went out, few stayed, took about a year for our core team of 3 Level 2 Cleaners. My goal has always been to never employ anyone. Just me, my Partner and the Cleaners. All Shared Owners in the system for delivering the right cleaner to the right house in our town, at the right time and without any dramas or arguments... I have a personal talent for resolving disputes, which has made working for and buying from my business a mostly enjoyable and upbeat experience, with a touch of mystery and a feeling that you're part of something big! It is a business that ran on Me. I put in my time, every day, building automated tool after automated tool. Hiring a contractor to do a job, scratching my head when it didn't add enough value to pay for itself, then just doing it myself again. I wanted to solve that problem. I'm trusting that the few who hear about it who actually see the potential, will just come join us, no dramas, just cool people partnering up! And those that don't, won't. No one could steal it, because it's Mine, and I'll just change the keys anyway loser! Enjoy digging through my past, you lunatic! I'm out here living Now. Anyways... It's lonely around here. I have a cleaning business that I run from my laptop, which means I can live anywhere, but I still had this big problem of time... NOT ENOUGH Oh Wait. It's Here.

What AI tools sounds best for you?

Hey, I'm a developer who's been lurking here for a while and I want to build something actually useful or at least fun(or both) that is AI-related. Here are 4 ideas (but I'm open to completely different ones): AGI Timeline Prediction Market (🎯 no real money, just bragging rights) Finally settle those "AGI by 2030?" debates with some skin in the game Watch your prediction accuracy score climb (or hilariously tank) Monthly milestone tracking to see who really knows their stuff Like fantasy football, but for the robot apocalypse AI Model Release Calendar Never miss another GPT launch again Compare models without diving into 50 different Discord servers Clear "what can it actually do?" benchmarks Get pinged when something wild drops Research Paper Difficulty Rater Browser extension that saves you from opening papers way above your pay grade Community ratings from "ELI5" to "PhD Required" Shows what you need to know before diving in "Time to comprehend" estimates (coffee breaks vs weekend projects) AI Progress Newsletter + Extension Track what you've actually read vs. saved for "later" (we all know how that goes) Weekly TL;DR of the important stuff Focus on real breakthroughs, not just PR Impact ratings from "neat trick" to "call Elon" Before I dive in and build one of these - has anyone seen something similar already? What would make these actually useful vs just another tool that collects dust? P.S. Open to wildly different ideas or improvements too. Maybe we need something completely different to track our march towards AGI?

What are the top AI tools to work with in 2023?

Thought this was a cool graphic - pulled from this free resource (https://buildspace.so/notes/ai-stack-2023) Anything missing? https://preview.redd.it/ip41flonm9ba1.png?width=456&format=png&auto=webp&s=60c73b5d8fc50212c8e0fe8815b2d25f970ad34c

Can I Download and Deploy a Custom AI Model Trained in Power Automate AI Builder?

Hello, I'm currently working on a project where I need to extract specific information from a large number of PDF documents—such as locations, addresses, machine types, etc. I’m using Power Automate AI Builder, which lets me label hundreds of PDFs and create collections for different document layouts. It’s a great tool for training a model to handle these tasks, but it seems like I can't download the trained model or deploy it outside of the Microsoft ecosystem (e.g., using it with Python or other platforms). The problem is, I need a model that can handle processing thousands of PDF files with varying layouts. The goal is to have a model that I can integrate with Python, and potentially, in the future, embed into a website or other applications. I'm aware of other tools like Google Document AI and Azure, but I’m wondering if these or other platforms allow the same kind of training process while also giving me the ability to download and use the model externally. Unfortunately, I haven’t been able to try out these tools or alternatives because most of them require payment before you can experiment with them. Does anyone know if Google Document AI, Azure, or any other platforms offer this capability? Or any suggestions for other tools that might meet these needs? Any recommendations or insights would be greatly appreciated!

What AI models can I build to automate processes in the architecture field?

An architecture company that builds hospitals, villas, and towers. They want to integrate AI/ML into their workflow to automate processes and improve efficiency they don't have a specific area to automate but they want to follow the wave and add ai.I’m looking for suggestions on AI models/ agents or tools that can help automate the processes: What AI/ML models would you recommend ? Are there any existing tools or frameworks ( generative 3d design from 2d, 3d rendring, NLP, predictive analytics) that I should explore? Do you have examples of how AI has been successfully applied in architecture or construction? Any advice, resources, or examples would be greatly appreciated! Thanks in advance!

AI for Business: FREE Practical Course & Tools on YouTube

I worked for 15+ years in AI, created “AI for Business” to help any non technical professional learn and apply AI in their work. FREE course on YT + 6 tools (use-case gallery, ideation canvas, idea evaluation, POC template, team roles, & more) Course Link. Outline: https://preview.redd.it/nxh1952rqxad1.png?width=1744&format=png&auto=webp&s=4d31acdec5b0375734dcc49b1c0be81bc3e605e6

🔧 Open Source Tool: Automate AI Content Curation

Built a Python tool that aggregates: \- Latest arXiv papers \- Top GitHub repos \- Industry news \- AI competitions Looking for feedback and contributors! Github: https://github.com/anuj0456/ailert

I built a site that allows you describe and launch a web app in seconds using AI. Hosted automatically. No coding required.

Why isn't there automated AI data cleaning software already?

I've been getting into machine learning and data science, and I keep wondering: why isn't there more automated AI data cleaning software? I know there are some tools out there, but it feels like we’re missing a fully automated, easy-to-use solution. Data cleaning is such a crucial part of any ML project, so it seems like this should be a no-brainer.

I built a no code AI chatbot platform, no drag and drop just customize it as you need.

https://preview.redd.it/l6xyfqdqrjtd1.png?width=2878&format=png&auto=webp&s=63f90e40082233cc50979852b0bb1bf7732e3061 https://doko-ai.com/en

Tried no-code AI builder Lovable

So I recently got some time to check out Lovable, a new no-code platform that’s been making waves. I built three projects: Crypto Coin Tracker Simple CRM Netflix-Style Streaming Site What I Liked: • Editable Display Items: Lovable makes tweaking components straightforward. You can select a specific element and prompt around just that (eg: a button) instead of the whole app/website. • Community-Driven Templates: A ton of pre-built templates are available for remixing, simplifying prototyping. Plus, any project created on the free tier becomes publicly accessible, thus creating a bunch of community templates to be used as inspiration. Pricing: Lovable’s pricing is so similar to Bolt.new. Both their free tiers suck and don’t give you much. The starter tiers are worth it at $20/m. For a detailed walkthrough of my experience with Lovable, check out this video. https://youtu.be/QZi9JvIKgJE?si=E8umG6LilCJQNmJy I’d love to hear your thoughts—are you using Lovable, Bolt.new, or another platform? Share your experiences below!

Built a Free AI Fitness Planner - From Passion to Product with No Traditional Coding

I posted this in r/entrepreneur as well but figured this is a great place too. I am looking to get your thoughts on this project and maybe some ideas as well. I wanted to share my journey of creating a free ai-powered workout planning tool with bolt. new and very minimal coding skills. It has taken me probably 4 days in total to complete and get to a point I am happy with. Many improvements coming but want to get it out there for some feedback and testing. I have been going to the gym for years and at this point my routines have gotten stale. I end up doing the same sets of exercises and repetitions over and over. I figured why not let chat gpt or some AI software help me develop or at least recommend different exercises. I was then was recommended youtube videos on creating your own web application without any coding. I will say it does take some coding knowledge, not that I am editing it myself, but I know what its trying to do and can prompt it correctly. I am still struggling with some things like integrating stripe for subscriptions so I only have it set up for donations currently. I dont mind it being free as I would like everyone the opportunity to help develop their own workouts. current cost breakdown to create: bolt. new credits - $100/month (gonna drop to the $20 now that its complete) supabase database - $35/month netlify domain - $11.99/year If anyone is interested or has questions feel free to let me know. It is called fitfocuscalendar. com this can all be done even cheaper using their free options but might take a lot more time depending on the complexity of the application as there are not a lot of free credits to code with each month and the supabase free database plan it pretty limited on size. title was AI generated.