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I asked Claude to build me an artifact that works as my own personal book tracker. It includes separate sections for books I want to read, books I’m currently reading, and books I’ve read. I also asked Claude to collect specific data points about each book and create an insights tab that can gather information about my likes and dislikes over time, then make future recommendations. I personally dislike Goodreads’ UI and don’t use its social media features, so I wanted a personalized alternative housed within Claude alongside all my other workflows—a one-stop shop. Step-by-step: 1. I asked Claude to build an artifact for tracking my books. 2. I organized the tracker into books I want to read, books I’m currently reading, and books I’ve read. 3. I specified the data points I wanted to collect for each book. 4. I asked Claude to add an insights tab to gather data about my likes and dislikes. 5. I set it up to use those insights for future recommendations and keep the entire workflow within Claude.

I'm knitting a sweater for my baby nephew, and accidentally knitted extra rows, but didn't notice until I was 30 rows past it. I dropped the pattern I was using into ChatGPT and asked it to revise it so the stripes on the front & back aligned. Saved me from undoing my work and made sure the sweater stayed cute! Step-by-step: 1. I gave ChatGPT the original knitting pattern and explained where I had accidentally added the extra rows. 2. I told it how far I had continued knitting before noticing the mistake. 3. I asked it to recalculate the remaining pattern instead of telling me to undo 30 rows of work. 4. I checked that the revised stripe counts would align across the front and back. 5. I continued knitting from the corrected instructions while preserving the completed work.

My car recently lost a small part near the bonnet. I didn’t know what it was called, and even the official workshop couldn’t help because the model was no longer in production. I gave ChatGPT my car details and a photo showing where the part was missing. It identified the part, helped me cross-check the specifications and compatible part numbers, and found sellers that had it available. I found the right part and had it delivered within a week. Step-by-step: 1. I shared my car model and a photo of where the part was missing. 2. I used ChatGPT to identify the part and its specifications. 3. I cross-checked compatible part numbers and alternatives. 4. I searched for sellers carrying the correct part. 5. I compared the options and ordered the right one.

My pool water looks great, and I’ve taken over the weekly water-care routine myself after years of using a pool service. I first gave Claude the relevant information about my in-ground pool setup. Now, each week, I check the water’s chlorine, pH, alkalinity, and other chemical levels, then enter the results into Claude. I often take a water sample to a local pool store, where they provide a printed analysis. I snap a photo of the analysis with my phone and upload it to the Claude chat. Claude tells me which chemicals to add and when. Over time, the water has stayed balanced and looks great, while I’ve saved a lot of money on pool service and avoided wasting chemicals. This workflow has paid for itself many times over through this one use case. Step-by-step: 1. I gave Claude the relevant information about my in-ground pool setup. 2. I checked the pool water weekly, including chlorine, pH, alkalinity, and other chemical levels. 3. I either entered the results into Claude or took a water sample to a local pool store for a printed analysis. 4. I photographed the printed analysis with my phone and uploaded it to the Claude chat. 5. I followed Claude’s guidance on which chemicals to add and when. 6. I repeated the process over time to keep the water balanced and avoid wasting chemicals.

I used ChatGPT + Button to understand my dog’s blood work in language I could follow. Every couple of weeks, I uploaded all of my dog’s blood work PDF files and provided the information verbally that wasn’t included on the forms. It helped me understand which markers were important and compare the results from week to week, including where values were changing. That gave me a better foundation for conversations during veterinary appointments. During a difficult time, it also gave me peace of mind in a way nothing else could. It feels strange to say that, but it’s true. Step-by-step: 1. I uploaded all of my dog’s blood work PDF files to ChatGPT + Button every couple of weeks. 2. I provided the relevant information verbally when it wasn’t included on the forms. 3. I used it to identify which markers were important. 4. I compared the results from week to week and reviewed where the values were changing. 5. I used that understanding to have better conversations with the veterinarian.

I live in a state experiencing extreme drought conditions, and my water provider recently notified us of new fees for excess usage. That prompted me to dictate nearly 10 years of monthly water bills to Manus by reading each date and gallon total aloud. I then asked it to cross-reference my usage with local temperature and precipitation records for Eden, Utah. The analysis found that temperature explains 51% of the variation in my water usage, while precipitation explains 19%. That suggests roughly 30% is driven by my own choices—a significant opportunity for conscious water stewardship. It took about an hour of conversation to build the entire dataset from scratch. Step-by-step: 1. I read the date and gallon total from each monthly water bill aloud to Manus. 2. I asked Manus to organize nearly 10 years of usage data into a dataset. 3. I asked it to cross-reference my usage with local temperature and precipitation records for Eden, Utah. 4. I reviewed the analysis showing that temperature explained 51% of usage variation, precipitation explained 19%, and roughly 30% was associated with my own choices. 5. I identified that remaining 30% as an opportunity for more conscious water stewardship.

I used AI to develop a simple daily care plan for my above-ground pool. I copied the links to the pool I bought online and asked which chemicals would be best and whether I should make any upgrades right away. Then I asked AI to create a daily routine to keep the pool sparkling throughout the summer. When the water started looking cloudy, I took pictures of the water tests I was running and shared them so AI could help me get the pool back where it needed to be. Step-by-step: 1. I copied the online links for the above-ground pool I bought. 2. I asked AI which chemicals would be best for the pool and whether I should make any upgrades. 3. I asked AI to create a daily pool-care routine for the summer months. 4. When the water became cloudy, I took pictures of the tests I was running on the water. 5. I shared the pictures with AI to get guidance on bringing the water back to the right condition.

I recently learned that I have severe osteoporosis. Two doctors highly recommended Evenity, which is prescribed and insurance-approved only for people at severe risk of fracture, so I knew the situation was serious. The decision was difficult because Evenity carries an increased risk of heart attack and stroke. Both conditions run in my immediate family, and one of my arteries has 75% plaque buildup. Ultimately, we agreed that my risk of a life-altering fracture was much greater than my risk of a heart attack or stroke. My father died six weeks after suffering a life-altering fracture, while my mother survived two heart attacks and a stroke, and my brother died from his first heart attack at age 60. That made it even more important to follow recommendations for both heart and bone health, even though the goals for each can be different. Monitoring everything myself would have been overwhelming, so I created a project called "Daily Meals" and prompted Chat to create a chart that tracks my daily intake of protein, carbohydrates, fiber, healthy and unhealthy fats, calcium, cholesterol, and other selected nutrients, along with a goal for each one. I enter everything I eat throughout the day. The chart maintains a running total and displays my goals underneath. When I am about halfway through my calorie goals, Chat recommends foods for the rest of the day to help me stay on target. Within a week, Chat had learned my go-to foods, and I also told it about other foods I like. There is no harsh judgment when I include ice cream. I also added pictures of the labels for the supplements I take each day. In addition to tracking my intake, Chat advises me about combinations that may help or hinder absorption. One important example for me is that vitamin D, which must be taken with fat, helps with calcium absorption, while vitamin K2 activates proteins that help carry calcium to my bones instead of my arteries. Chat also provides guidance about medications. When I was prescribed an antibiotic, I learned that taking it with calcium could greatly reduce the medication's absorption, so I adjusted what I ate accordingly. There is much more benefit than I can fit here. This project may literally be a lifesaver for me. Step-by-step: 1. I created a project called "Daily Meals." 2. I prompted Chat to create a chart for tracking protein, carbohydrates, fiber, healthy and unhealthy fats, calcium, cholesterol, other selected nutrients, and goals for each one. 3. I added pictures of the labels for the supplements I take each day. 4. I enter everything I eat throughout the day so the chart can maintain running totals. 5. I review the totals against my goals, and when I am about halfway through my calorie goals, I ask Chat to recommend foods for the rest of the day. 6. I told Chat about my go-to foods and other foods I like so its recommendations could reflect my preferences, including occasional ice cream. 7. I use Chat's guidance about nutrient combinations, including vitamin D with fat for calcium absorption and vitamin K2's role in helping carry calcium to my bones instead of my arteries. 8. When I was prescribed an antibiotic, I used Chat's medication guidance to learn that taking it with calcium could reduce the medication's absorption, and I adjusted my meals accordingly.

Opposite of high school science class, I love that I never have to worry about being embarrassed to ask Claude when I don't understand something. The icing on the cake is to have it use the new chat visualizations feature. After watching (the wonderful) Hail Mary Project Movie with my kids, I needed some help trying to explain the science of Time Dilation. It helped me get a little closer. Step-by-step: 1. I told Claude the science concept I was struggling to explain: time dilation. 2. I asked it to walk through the idea in a patient, step-by-step way without making me feel rushed or embarrassed. 3. I turned on chat visualizations so the explanation included something concrete to look at. 4. I asked follow-up questions until I understood the relationship well enough to discuss it. 5. I adapted that explanation into language I could use with my children after the movie.

BiteTrack makes calorie tracking simple with AI. Step-by-step: 1. Log a meal using a photo, voice, text, barcode, or food search. 2. BiteTrack’s AI identifies the food and estimates its calories, protein, carbohydrates, and fats. 3. Track daily nutrition, weight, and progress in one place. 4. Receive personalized nutrition recommendations based on health and fitness goals. 5. Monitor progress over time with detailed analytics to stay on track. Whether you're trying to lose weight, gain muscle, or maintain a healthy lifestyle, BiteTrack helps you make smarter nutrition decisions every day.

I moved recently, and the movers took apart my bed frame. The hardware needed to reassemble it had been taped to the back of the headboard, but it disappeared during transport. I took photos of the headboard, sideboards, and footboard and uploaded them to Claude. I asked Claude to identify the hardware I needed to put the bed back together. It asked me to measure a couple of places, then produced a complete list, including four M8 screws measuring 80 mm, among other pieces. I took the list to the hardware store, and everything fit perfectly. I’m not sure how I would have solved the puzzle without Claude. Step-by-step: 1. I photographed the headboard, sideboards, and footboard. 2. I uploaded the photos to Claude and asked it to identify the hardware needed to reassemble the bed. 3. I measured the requested areas. 4. I used Claude’s list, including four 80 mm M8 screws and the other required pieces, to shop for replacement hardware. 5. I reassembled the bed with the replacement hardware, and everything fit perfectly.

I use ChatGPT as a label-reading filter for packaged snacks, uploading product photos and asking it to flag hidden sugars, oils like palm, and preservatives, then compare options against a strict checklist of clean ingredients, minimal processing, and decent macros. It's especially useful for decoding lesser-known, jargon-heavy terms on the back label, translating things like INS numbers, stabilizers, and emulsifiers into plain English so it's clear what's actually being consumed. Instead of trusting front-of-pack claims like "multigrain" or "sugar-free," it breaks down what's inside, surfaces trade-offs, and narrows choices to the best options available online Step-by-step: 1. I photographed the ingredient labels on the packaged snacks I was considering. 2. I gave ChatGPT a strict checklist covering hidden sugars, oils such as palm oil, preservatives, processing, and macros. 3. I asked it to translate ingredient jargon such as INS numbers, stabilizers, and emulsifiers into plain language. 4. I had it compare the products based on what was actually inside rather than the claims on the front of the package. 5. I used the trade-offs it surfaced to narrow the list to the best available options.

I had a project brief to build an e-learning experience that would help people barbecue safely. I used Claude to generate the storyboard, ElevenLabs to create the voice-overs, and Claude Design to bring everything together into a multiscreen e-learning experience with interactive screens. Step-by-step: 1. I used Claude to generate a storyboard for the e-learning experience. 2. I used ElevenLabs to create the voice-overs. 3. I used Claude Design to bring the storyboard and voice-overs together into a multiscreen e-learning experience with interactive screens.

子どもが気に入って毎日読んでいる絵本の付属品が、破れたり紛失したりしてボロボロになっていました。そこで、付属品を写真に撮ってChatGPTに送り、似たものを複製してもらいました。 さらに、もともとは付属していなかったものの、子どもがあったら喜びそうな付属品も追加で作ってもらいました。完成したものをハサミで切ってラミネート加工し、絵本と一緒に渡しました。 ポイントは、絵本のページをいくつか写真でChatGPTに送り、同じようなデザインやテイストのイラストを生成してもらうことです。そうすることで、絵本の世界観を崩さずに付属品を作れます。 Step-by-step: 1. 破れたり紛失したりした絵本の付属品を写真に撮る。 2. 絵本のページをいくつか写真に撮り、ChatGPTに送る。 3. 絵本と同じようなデザインやテイストで、付属品を複製してもらう。 4. 子どもが喜びそうな、もともとは付属していなかった付属品も追加で作ってもらう。 5. 作成した付属品をハサミで切ってラミネート加工し、絵本と一緒に渡す。

I moved to France, where my German hunting license is not accepted. As a resident, I have to pass the French hunting exam to obtain a French license. I downloaded a guide for the exam from various internet sources, along with publicly available literature on the relevant topics. I gave these materials to Perplexity and instructed it to develop a preparation course with logically structured learning units covering French hunting vocabulary, exam topics broken down into detailed subunits, game, hunting law, and more. For each unit, I requested a test with 12 questions combining multiple-choice and free-text formats. I also asked Perplexity to include every mistake in the next unit and continue reviewing those errors until I know the material 100%. Now, every second day when I open my computer, Perplexity presents a new unit aligned with my progress and the errors from previous units. The preparation schedule is optimized for the exam this November, with October reserved for reviewing all topics. Step-by-step: 1. I downloaded an exam guide and publicly available literature on the relevant French hunting topics. 2. I provided these materials to Perplexity. 3. I instructed Perplexity to create a logically structured preparation course covering French hunting vocabulary, detailed exam topics, game, hunting law, and related subjects. 4. I required each learning unit to include a 12-question test with a mix of multiple-choice and free-text questions. 5. I asked Perplexity to carry every mistake into the next unit and continue reviewing it until I know the material 100%. 6. Every second day, I open my computer and complete the new unit generated according to my progress and previous errors. 7. I use the schedule leading up to the exam in November, reserving October for a full review of all topics.

I used Perplexity to find the right earbuds for my iPhone, mainly for light music and calls. It compared AirPods 4, Pro 2, Pro 3, Beats Fit Pro, and Nothing Ear models, breaking down ANC, call quality, Apple ecosystem features, and prices. It helped me see that AirPods Pro 2 gave me everything I needed—strong noise cancellation, seamless pairing, and Spatial Audio—without paying extra for Pro 3 or Beats' upgrades I wouldn't use much. Step-by-step: 1. I described how I would use the earbuds, focusing on light music, calls, and compatibility with my iPhone. 2. I asked Perplexity to compare AirPods 4, AirPods Pro 2 and 3, Beats Fit Pro, and Nothing Ear models. 3. I had it break the comparison down by noise cancellation, call quality, ecosystem features, and price. 4. I separated must-have features from upgrades I was unlikely to use. 5. I chose the model that met the requirements without paying extra for unnecessary improvements.

I created an online app where my friends can select the gigs they plan to attend. It shows who is going to each gig and when, along with a clear festival-wide timeline. The festival host only provides stage-based schedules, which are difficult to read and coordinate. My app brings the information together in a more practical format for planning with friends. Step-by-step: 1. I created an online app for coordinating festival plans. 2. I added a way for friends to select the gigs they plan to attend. 3. I organized the selections to show who is going to each gig and when. 4. I created a clear timeline that combines the festival’s stage-based schedules. 5. I used the combined timeline to make planning and coordination easier.

I used ChatGPT to help create a book in a specialized area of hypnosis. It still needs some refining. The book provides a verbal account of the actions parents need to take to accomplish their goal. It supports both the parents and the child through positive reinforcement. As the parents speak their part, the message becomes ingrained in them as well. Step-by-step: 1. I used ChatGPT to help create the book. 2. I focused the content on the actions parents need to take to accomplish their goal. 3. I used positive reinforcement to support both the parents and the child. 4. I had the parents speak their part so the message would become ingrained in them as well.

I made Claude Code my apprentice CAD designer because I don't know anything about engineering. My wife needed a ring container to attach to her water bottle at the gym. I drew my idea for a threaded container and told Claude to prototype it. The first few prints were rough. But after the 8th prototype, we had the perfect design. Step-by-step: 1. I sketched the threaded ring-container idea and described how it needed to attach to a water bottle. 2. I gave the sketch and functional requirements to Claude Code and asked it to act as an apprentice CAD designer. 3. I turned the proposed design into a first physical print. 4. I tested each prototype, described what was wrong, and asked Claude to revise the design. 5. I repeated the print-and-feedback loop until the eighth prototype fit and worked correctly.

I have been using Grok in my Tesla, and it is a fun way to navigate and find new places to try around me. You can ask it to map multiple locations now, and ask it things like "after my first destination, I want to get coffee from a local place, not a chain". It's given some unique, interesting options I never would've explored otherwise. Step-by-step: 1. I asked Grok in the Tesla to map the first destination I wanted to visit. 2. I added the other stops I was considering so it could plan a multi-location route. 3. I gave it preference constraints, such as finding a local coffee shop instead of a chain. 4. I let it suggest options that fit the route after the first destination. 5. I used those conversational recommendations to discover places I would not have found on my usual route.