Turn Claude into a blunt running coach with Garmin data and markdown files

Build a marathon training plan from 459 Strava runs with Claude

After finishing a first marathon in 4:14 with a painful final stretch, Piet van den Boer asked Claude to analyze the race and training data. Claude found that 26% of the runs sat in a 'moderate' grey zone, too hard for easy days and too easy for quality days. For the next marathon, van den Boer gave Claude a full Strava export of 459 runs from three years, plus a weekly schedule built around two young kids. Claude built a specific, flexible plan, then reviewed it against marathon research and revised it with deeper recovery weeks (20–30% instead of 10–16%), truly easy Monday runs and strides on Fridays. Early on, Claude gave generic advice and a graph-filled PDF that van den Boer found useless, and a calendar export took several tries. Van den Boer says Claude could be confidently wrong and there's no way to tell without expertise.

Get a feedback report after each Spanish practice chat with Langua

A Reddit poster used Langua for about a week, mostly for its AI chat and flashcards, to practice speaking Spanish. The poster found the feedback report after each chat 'super helpful': what went well, things to work on, specific corrections with explanations, then a cultural tip. Once, Langua offered a practice phrase in a tense that seemed wrong; when asked, it corrected itself and explained why. The poster called it worth the $20 a month subscription so far.

Knit doll socks from a ChatGPT pattern, then find one that works

Knitter Ciara of The Fairythorn asked ChatGPT to write a sock pattern for an 18-inch doll. Ciara managed to knit a sock from it, but only by turning the heel from experience, as that section had a fundamental error, and the sock came out far too small for the doll to ever wear. Asked instead to point to a free pattern on Ravelry, ChatGPT offered three suggestions in under a second. The first, 'Basic Doll Socks' by Jacquelyn Fitzgerald, knitted up quickly and easily and fit the doll, with just one small error.

Write a life story book with aphasia after a stroke, using ChatGPT to edit

A 75-year-old patient with aphasia from a stroke eight years earlier had trouble finding words and forming sentences, and wanted to write an autobiography. In speech therapy sessions, the patient wrote their own content and used ChatGPT to edit it, guided by a visual flow chart and set prompts. With ChatGPT, the patient produced more sentences with fewer errors. In three out of 10 sessions the patient noted ChatGPT sometimes wrote long, complicated sentences, and preferred the 'edit the following' prompt. It took clinician prompting and modeling at first. By semester's end there was enough for a printed life story book, shared with friends and family.

Hold a real Spanish conversation without translating in your head after a month with Langua

Christian Tapper has used the Langua AI tutor for over two years for Korean, Spanish and Finnish. A little over a month after starting Spanish on Langua, Tapper ran into an Argentinian man in a town in Finland and they talked in Spanish. 'For the first time, the words just came,' Tapper writes: no translating in the head, and expressions picked up in Langua chats. Afterward, a Mexican friend Tapper hadn't spoken to in nine months, other than by text, said the Spanish sounded much more fluent.

Practice speaking Spanish before a move abroad with the Langua AI tutor

Spenser Mestel had studied Spanish on and off for two decades and was moving to Spain, so the goal was to get past a plateau. On Langua ($25 a month, about what Mestel pays for one virtual tutoring session), Mestel drew on work as a fitness coach and role-played a personal trainer meeting a new client, an AI character called Christian. Christian understood Mestel through the stumbles, and pausing to ask grammar questions brought 'some of the clearest explanations I've ever been given'. The limits: for accent, Mestel's biggest priority, it could only offer exercises, and Mestel kept meeting a human tutor, Maria.

Build a marathon training plan from 459 Strava runs with Claude

After finishing a first marathon in 4:14 with a painful final stretch, Piet van den Boer asked Claude to analyze the race and training data. Claude found that 26% of the runs sat in a 'moderate' grey zone, too hard for easy days and too easy for quality days. For the next marathon, van den Boer gave Claude a full Strava export of 459 runs from three years, plus a weekly schedule built around two young kids. Claude built a specific, flexible plan, then reviewed it against marathon research and revised it with deeper recovery weeks (20–30% instead of 10–16%), truly easy Monday runs and strides on Fridays. Early on, Claude gave generic advice and a graph-filled PDF that van den Boer found useless, and a calendar export took several tries. Van den Boer says Claude could be confidently wrong and there's no way to tell without expertise.

Explain English bills and prescription labels to parents in plain Spanish with Claude

Joel Salinas's parents don't speak English well, but almost everything that matters to them, such as a bill, a doctor's note or a prescription label, arrives in English. Now they take a photo and Claude translates it and explains it in Spanish, in plain terms they can act on, so a prescription becomes 'take one in the morning, one at night, with food.' Salinas calls it the use that reframed the others and says to verify the dose or the due date yourself.

Prepare for a parent's cancer treatment talks with a tumor-board-style ChatGPT prompt

When John Bailey's mother's cancer came back, Bailey set up an AI assistant loaded with the mother's records and treatment history, using ChatGPT Projects and custom GPTs, to summarize test results and pathology reports in plain language. For big decisions, Bailey ran Deep Research in ChatGPT, Claude and Gemini with a prompt that had the AI reason as an oncologist, a radiation specialist, a molecular pathologist, a clinical-trials expert and a patient advocate, which produced a detailed, source-cited report. On at least two occasions it surfaced details that were initially overlooked, including a finding in a radiology report. The AI didn't choose treatments; it helped the family ask better questions.