Plan a week of family dinners for $3.06 a serving from a supermarket sale catalog with ChatGPT

Plan four family dinners from fridge and pantry photos and save about $150 with Gemini

Amanda Caswell, a mom of three writing for Tom's Guide, kept buying food the family already had. Caswell photographed the fridge, freezer and pantry, uploaded the photos to Gemini (using the Nano Banana 2 image model) and asked for meals made from what was there, plus the cheapest items to buy. Gemini spotted lean ground sirloin, frozen broccoli, chicken, black beans and spaghetti, and built a 4-day plan: beef and bean pasta, a cheesy chicken and broccoli bake, an everything frittata and burrito bowls. Caswell estimates about $150 in savings compared with a usual weekly spend.

Turn leftover holiday ham into a gluten-free fried rice with ChatGPT

After Christmas, Shasta Kearns Moore's household still had a lot of ham. Moore asked ChatGPT for healthy ideas without too many vegetables, since the people at home aren't big fans. The first five ideas didn't fit, because one eater is gluten-free and the family prefers Asian cooking, so Moore told it that. ChatGPT came back with new suggestions and, on request, a recipe for a simple fried rice dish that was 'a big hit.' Moore says it took seconds and saved 'time, money and a headache.'

Generate 30 diabetes-friendly recipes from your own ingredient list with Claude

After a type 2 diabetes diagnosis, Edwin van Wijk had the Claude CLI build a categorized list of ingredients available in a standard Dutch supermarket, removed everything disliked (cheese included), then wrote goals and constraints in a CLAUDE.md file. Claude generated 30 varied recipes plus a table showing each one's main protein, carbohydrates and why it suits a diabetic. Each recipe van Wijk cooks gets printed for the recipe binder in the kitchen. Alongside exercising more and other diet changes, van Wijk reports losing almost 4 kg in four weeks and a glucose drop from around 15 to around 6 mmol/L.

Adjust a 1,200-calorie diabetes meal plan day to day with ChatGPT

Ankush Joshi has lived with type 2 diabetes since 2012 and used ChatGPT to build a 1,200-calorie, high-protein, high-fiber plan of four meals a day. When a day goes off plan, Joshi asks for quick changes, such as moving calories toward dinner or adding 20 g of protein without adding calories. After 2 laddoos and a small chakli at a festival, ChatGPT estimated the extra calories and suggested lighter swaps and a 45-minute walk. Joshi says it is less accurate for homemade, restaurant and festival food, and the rule stays: 'NEVER change medicines based on AI.'

Work out what recipe a mystery grocery order was for with Copilot

Anthony Blake's online grocery order arrived with a set of ingredients that looked as if they'd been added automatically from a recipe page, maybe via an Amazon Echo. Nobody knew what the ingredients were meant for, and searching Google didn't help. So Blake asked Copilot to check the web for a recipe using that ingredient list. Its answer: an Asian coleslaw, which Blake says made perfect sense given the household's tastes.

Identify frozen meals and pantry jars nonvisually with Be My AI

While Brian Mackey's parents were away on a 30-day cruise, Mackey, a blind iPhone user who relies on VoiceOver, used Be My AI to photograph labels and find out which Clean Eatz frozen meal was in hand (for example 'Basic Chicken with Asparagus'), along with its calories and protein, so it could be logged accurately in MyFitnessPal. It also identified which pantry jar Mackey had picked up, such as peanut butter or jelly. The catch: the camera angle and distance had to be right, and some labels took several retakes before it could read them.

Decide to go back to the ER for worsening leg pain and breathlessness with ChatGPT

Julian Millikan's leg pain had already been seen once in the ER and once at urgent care, where it was diagnosed as a gout flare, and the MRI that was ordered was declined by insurance. When Julian became nauseated and too short of breath to manage two steps on crutches, Julian's wife, Shauna O'Brien, typed the symptoms and earlier diagnoses into ChatGPT. It told O'Brien to 'go back to the ER immediately,' warning the pattern could mean deep vein thrombosis (DVT) or a joint infection. Paramedics found an elevated heart rate and low blood oxygen, Julian was fast-tracked at triage, and scans showed a large DVT and bilateral pulmonary emboli. Doctors said Julian likely would not have survived another night at home. During the four-day stay, ChatGPT also helped O'Brien understand treatment choices and prepare questions for discharge.

Cut four monthly bills by $119.75 with ChatGPT negotiation scripts

McKenzie Day dreaded calling service providers, so Day asked ChatGPT for a strategy for each bill, how to reach a real person fast and a script for negotiating, including what to say if the first offer wasn't good enough. Taking one bill a week, Day got home internet down from $109 to $50 a month (with more data, Peacock streaming and the rate locked for 5 years), switched phone providers to go from $48 to $15 a month for the first year ($30 after that), moved pest control to a DIY approach ($48 to $11 a month) and swapped a budgeting app for a self-hosted Actual Budget ($9 to $3 a month). In about a month that came to $119.75 a month, or $1,437 a year.

Negotiate internet and phone bills down by $113.99 a month with ChatGPT call scripts

Allison, a 34-year-old paralegal paying about $612 a month across bills, tested ChatGPT bill negotiation for 30 days with Jake Read. For each call, ChatGPT wrote a 60-second script plus three fallback lines. Spectrum dropped the internet bill from $94.99 to $59.99 a month for 12 months, and AT&T moved two lines from $165 to $110 a month after a second call to the retention department. Geico didn't budge, and ChatGPT's estimate that the car insurance could drop to $140 a month was too optimistic. A gym credited three free months and an unused Disney+ was canceled. Total savings: $113.99 a month, or $1,367.88 a year, for 2 hours and 41 minutes of calls.