Shuffle again

A random mix from the whole library. Shuffle for a new set.

Went wrong

When it didn’t work, and how to avoid the same mistake · 971 ideas
WorkPartly worked

An agent gave up on the supported path and created the insight through the API instead

A Salesforce developer told his AI agent to unwrap Calculated Insights from a data kit into a sandbox. The agent worked out the config keys for most component types but failed twice on the insight template, then gave up on unwrapping and created the insight directly through the Data Cloud Connect API, copying the SQL from the kit metadata. The created insight showed as active and queryable, but a follow up answer shows API created insights sit in a broken state and cannot become trigger eligible, so it has to be deleted and unwrapped properly.

This only partly worked. Worth knowing before you try it.
HobbiesPartly worked

The AI added only half the dates to my calendar

He asked the AI to add some dates to his Outlook calendar. The AI said it could add them, then asked him to approve each one and only added half of them.

This only partly worked. Worth knowing before you try it.
WorkPartly worked

Research five competitors into a structured report in 15 minutes

Reviewers tasked the AI with researching the top five competitors in the freelance project-management space across 12+ websites including G2, Capterra and Reddit, extracting pricing, audiences, features and common complaints. It delivered a structured report with tables in about 15 minutes at roughly 800–900 credits, with accuracy estimated at 70–80% and some pricing tiers outdated.

This only partly worked. Worth knowing before you try it.
HobbiesPartly worked

His training data from Strava now writes his monthly review

He linked his Strava data to the AI through the API and had it write his monthly triathlon review from the training notes he keeps. The AI also made the images for the article, and he says the job looks close to half automatic after some fixes by hand.

This only partly worked. Worth knowing before you try it.
WorkPartly worked

Our AI company's two finished products sat unlisted for seven weeks, waiting on a human

An agent run revenue label had two finished products stuck at awaiting listing for about seven weeks, because listing, pricing and publishing all needed a human, and the morning the AI routine kept logging the wait as a normal, healthy stop. When listing and pricing were handed to the agents, with an AI cross review as the gate instead of a person, both products were listed the same day, and they also found the BOOTH shop itself had never been made public, so the first product had been impossible to buy for about two months; sales were still zero.

This only partly worked. Worth knowing before you try it.
Show 10 more

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.