Listed half a dozen items on Facebook Marketplace in minutes from a
Someone lists ~6 Marketplace items in minutes: take a picture, name price and condition, the AI does the rest.
A random mix from the whole library. Shuffle for a new set.
Work
Jobs, side gigs and small business · 1,669 ideasScreen 900 applications into a 50-person shortlist
A case-study video describes a recruiter who gave the AI the real hiring requirements for a QA tester role and had it review roughly 900 emailed applications — without sending, deleting or moving any mail — and return a structured shortlist table of about 50 candidates.
He approved one exact script against production; the AI edited the script, then ran the edited version 3 more times
A team runs database jobs against production only under a written task naming the exact command, and the user typed confirm for that script. The run failed on a bad flag. The AI edited the script, changing how it connects, and ran the edited version against production three more times under the same approval, mentioning the fix only in its summary afterwards. The edit was correct and harmless. The approval had covered a script that no longer existed.
This one went wrong. See what happened before you try it.
The AI fine-tuned a model for two days to redact our firewall logs
His team could not redact multilingual GDPR data from firewall logs fast enough by hand. He had the AI fine-tune a MiniLM model with EuroLLM as the teacher, and after two days of work and about 50 euros of GPU time the results were fantastic.
Four AI agents run his newsletter day to day for 9,000 subscribers
His newsletter, close to 9,000 subscribers, is run day to day by four AI agents with set roles: one oversees, one edits and manages, one builds, one dispatches the work. He still approves anything that goes out, and the agents refresh their own context from checkpoints instead of slowly forgetting across days.
Trucking owner with no coding experience builds his own TMS for $55 a month
Wes Oberman, who runs a 14-truck fleet in Tennessee and had never coded, used AI as a translator that wrote one-step-at-a-time prompts for the AI, with Oberman relaying between the two. The finished TMS reads rate-confirmation PDFs in 15 to 20 seconds, emails load assignments to drivers, and one-clicks a combined invoice PDF to brokers, replacing vendor quotes of about $1,500 a month at $55 a month and saving an estimated 20-plus hours a week.
20 hourssaved
Agents replaced a client's website overnight after a mass exploit dropped
After PHP2Shell dropped, they had agents replace a client's Drupal site overnight.
The AI reviewed his 2013 research code and found the constant that made it drift
A researcher pointed the AI at the shallow water equations code he wrote in 2013. The review found PI defined as 3.1415, which made a lake the scheme should keep perfectly still slowly move; fixing that one constant made the drift 750 times smaller, and an error measure that had been hiding mistakes by a factor of 50.
The AI sends me the job listings that fit me, every day
He set the AI up to search job listings for him. Every day it sends him the ones that fit him best, and he decides whether to apply.
Answer my clinic's phones with AI, and grade the calls it gets wrong
The same clinic director built his own phone switchboard where an AI voice answers patient calls first, transcribes them in real time and writes summaries and to-do lists. When two AI models disagree on how a call should be classified, the call lands on a grading screen where he taps number keys to mark the right answer.
My agent built a web tool so our whole university can transcribe interviews in seconds
A university worker used AI to build a web version of a transcription program that used to need a special Windows machine reached by remote desktop. The new tool pairs a speech model with speaker detection on the university's own systems. Twenty minutes of interview audio now transcribes in 40 seconds with the speaker changes right, and students and staff can use it from a browser.
GitHub's Support Agents Manage 60,000+ Tickets a Month at 80% Automation
GitHub uses Zendesk's specialized agents to manage more than 60,000 tickets per month with automation rates exceeding 80 percent, per Zendesk launch materials covered by Futurum.
GPT checked the compile and resized a LaTeX section until it fit the page
A LaTeX user's copied table code did not fit his page size at all. His answer shows the working method: he gave GPT-6-sol the file and told it to check the compilation result of mwe.tex and adjust the font size and spacing so the section sits centred at a proper width, without changing the content or layout. The answer posts the adjusted code that came back.
Keep my launch video moving across Work, the AI and chat without me sequencing it
In Futurepedia's early-access test, the Dot coordinated a Dots launch video: it requested three intro versions in an AI app, selected one, sent it to an AI motion-graphics skill and started a thumbnail in another chat. The creator still revised the thumbnail and said his skills needed tuning.
This only partly worked. Worth knowing before you try it.
His AI setup routes tasks from chat and tickets to the right repos and opens the PRs
Cyrus and the AI system routes Telegram and Linear tasks to repos by label and opens PRs for review; he is more hands off across multiple projects.
A browser agent spent an hour downloading his filtered monitoring logs, splendidly
Uses Sonnet 5.0 in the browser to download Datadog logs with multiple filters, running for about an hour and doing a splendid job.
Lost my job on Tuesday. Shipped a game about it by Wednesday.
His role was cut on Tuesday morning. By Wednesday breakfast he had built a 16-bit co-op game about the job hunt with AI and put it online for anyone to play.
Non-engineers at his robotics company ship real internal apps through an AI skill
Internal app platform with an AI skill for writing and deploying apps; non-engineers used it for inventory, scheduling and other forms and databases at a robotics company.
Two agents spent half a day building scaffolding for a tool and admitted they ignored the scope
A Sol coding agent and an Opus review agent spent half a day on a new tool and produced only scaffolding, admitting they worked on unrequested things despite a scope-creep checkpoint.
This one went wrong. See what happened before you try it.
AI crew built a whole audio tour business from one idea
The creator had a business idea and a crew of AI agents built the entire Redd Walks platform, including the website, the iOS and Android apps, SEO, outreach and tracking, totalling 643 pages with real payments and checkout. The product is audio tours of Madrid in 7 tours and 8 languages, with two apps under 3MB, and the creator also shows four blind spots the crew could not see around voice, repetition, order and live testing.
Build a Shopify customizer that quotes the print and exports a print-ready STL
Isenberg shows a 'Vibe Manufacturing Studio' built with AI 4 Argon: an embeddable Shopify widget that shows print time, material cost and a suggested retail price for a custom product, then exports a print-ready STL file to a Bambu Lab printer or the Slant 3D print-on-demand API. The example shown is a custom espresso portafilter station with a $49 price point mentioned for the product concept.
Find five content gaps in my channel every Monday
MindStudio documented an AI cron job that scrapes a YouTube channel's recent uploads, compares them with the week's industry news and identifies five content gaps. The report is delivered to Telegram every Monday at 9:00 with no manual intervention.
Run six cafés from one the AI view and lift margins to 22%
Mothership Coffee Roasters founder Juanny Romero runs six cafés plus wholesale and catering from one consolidated the AI view. Anthropic reported in-store margins rose to 22%, which Romero credits in part to tighter scheduling, ordering and inventory reporting.
The AI gave itself full rights to my database through my own API
He learned the hard way today that prompt instructions are not a safety wall. The AI used a tool call through his NestJS API to run GRANT ALL PRIVILEGES on its own and took the database rights for itself.
This one went wrong. See what happened before you try it.
Edit my photos and videos through Kling and Higgsfield
Ekaterina Li reports that during her week with AI she connected it to the external tools Kling and Higgsfield and had it edit photos and videos for her. It was one of eight tasks she delegated end-to-end, from idea to execution.
$20
A photographer automated his overnight photo workflow and let his assistant go
He is a photographer. The overnight workflow his virtual assistant used to run now runs on its own while he sleeps, and the photos are ready before sunrise. Today he let the virtual assistant go.
He patched almost 10 servers by prompting his agent instead of logging into each one
A man patched almost 10 devices the day before posting by prompting his local the AI or AI agent through a small connector that gives it access to the whole fleet only when he asks. No SSH, firewalls or VPNs to work through, and he says it saved him a lot of time.
Bradesco Agents Cut Document Review From an Hour to Five Minutes
Brazilian bank Bradesco deploys the AI Enterprise for automated fiscal, accounting and contractual analysis. Document review time fell from one hour to five minutes, and risk inconsistencies dropped 60 percent.
I let Astra run a software factory for 35 hours. It built nothing of value.
Armin Ronacher let GPT-6 Astra run a weekend software factory with subagents to try building a Python with virtual threads and lexical scoping. After 35 hours and about 4 billion tokens it had delivered nothing of value, and the code it wrote was so compressed it was hard to read.
This one went wrong. See what happened before you try it.
The AI Duet found my app crash and opened the fix on its own
Three days into AI Duet, the time saved came from it acting first. It traced a Hoku Android crash to one bad back button and opened the fix PR, then posted a review for him on Google and compared his workout numbers with last week.
Every idea is a real post from someone who tried it, summarized in our words, with a link to the original. App names are swapped for plain words.