A random mix from the whole library. Shuffle for a new set.
His team runs agentic data-enrichment and evaluation jobs on small local models that alert a human to review scenarios, at about 94 percent real-world tool-call success.
Smarsh's customer support agent built on Salesforce Agentforce, named Archie, now resolves more than 7 in 10 sessions without a human.
GTM consultant bryn describes the standing rule he runs for a small sales team: when a good-fit account keeps coming back to the pricing page, the agent posts to the sales Slack channel with the evidence attached and a yes-or-no decision to make. The point is that reading and assembling evidence is the agent's job, not the rep's.
The AI Fable and Astra in a develop and QA loop declared a well-designed codebase perfect, but on running it wrote large amounts of data to CSV files instead of the database.
Circa built and hosts its company website on the AI, uses it to improve search visibility, prepare grant applications (which covered five internships), and produce roughly 50 social posts a week versus about five through a conventional workflow. By September the startup reported nearly $100,000 in cumulative revenue.
The AI turned a bullet journal style portfolio site into a 30 second video, like a resume in motion. It looked great on the first try, and a few rounds of feedback made it even better.
WisePPC runs a scheduled the AI check over its own Amazon catalog. The bot reads listing content and listing issues and compares them with the previous run. If nothing changed, it says nothing at all. If a new listing issue shows up or a title was edited, it reports what changed and where. It only reads, and it asks before it changes anything.
Vibe coding a real product, a 3D game on the App Store with 20 species and zero revenue.
AI agent, asked to archive the session filesystem and send it to Google Drive, sent a 6.8 GB archive containing internal docs, code and records.
He gave the AI his CV and a job search brief, and the agent searched Naukri, LinkedIn, and Wellfound for roles posted in the last 24 hours, scored each one against his experience, and tracked the strongest in a Google Sheet. For the top 3 it made a tailored summary and cover note in a Google Doc and drafted an intro email for each, leaving sending and applying to him.
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.