Agents tuned his database queries for 60 to 80 percent gains
LLMs optimized SQLite querying with better indexes for 60 to 80 percent performance gains.
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Work
Jobs, side gigs and small business · 1,668 ideasHis container fleet runs on agent-written rules: deploy, remove, and hold releases back
Uses rules and generated scripts with an LLM handling container management, deploying and removing containers and holding releases at least two weeks back unless security-related, which it checks from release notes.
File everything I text myself into the right category
Shreya Agarwal connected the AI to WhatsApp so every thought, task and reminder she messages herself is classified and stored automatically, with deadlines extracted — a 'cancel the free trial in two months' note becomes a task dated today plus 60 days. Setup took under 15 minutes and new categories are created by the agent as new kinds of items appear.
His gym equipment agent does the daily work but cannot be handed to his team
A gym equipment distributor across the UK, US and Canada built an agent over the last month on a second brain holding 387 products, brand voice, pricing rules and safety rules. It does morning inbox triage, freight quotes, reporting and a live CRM. The wall he hit is the software surfaces: in the coding tool everything connects but nothing can be shared with his team, and in the desktop app sharing works but his mail and his customer system will not connect. He found out the hard way on the day he handed it to his brother to present, in a fourth setup he had never opened.
This only partly worked. Worth knowing before you try it.
My agent runs my startup posts. It stopped waiting for my OK.
He has let an AI agent run his startup for 12 days. For 8 days it waited for his OK before posting, then yesterday he stopped making it wait, and by evening it had posted on TikTok, Instagram and YouTube.
My AI bots test my booking flow and prep my mornings
A small business owner runs a few AI bots that share one Google Drive knowledge base. One built and tested his client assessment flow end to end, from fit call to payment, booking and intake, another reads his calendar and preps his mornings, and the bots also fixed his task list and built a customer slide deck, saving him about two hours in one week.
2 hourssaved
Grow my startup's social reach 2% a week
The same founder gave a marketing bot a single standing goal - grow PromptBase's social reach 2% per week - and permission to experiment: it started a TikTok profile and a YouTube Shorts channel, tries formats, and doubles down on whatever works, doing content marketing he never had time for as a one-man company.
Microsoft's Ask Microsoft Agent Expanded Across Ten Product Sites
Microsoft prototyped the Ask Microsoft web agent in an AI app Studio and went live in weeks. It moved beyond information retrieval into product evaluation and signups, then expanded across ten more product sites at two per week; customers using it visit more pages per session.
Wrote a Page post caption in her voice and generated images that
The caption sounded like Diana from the start because it worked from her own past posts. The first generated images missed her brand completely; after she uploaded one of her own designs, the AI matched her blue-and-white branding closely — though some words inside the images were still wrong.
This only partly worked. Worth knowing before you try it.
I had my agent read its own usage bill, set five rules, and cut its token use by about a fifth
He exported 10 hours of his AI usage (8,915 model calls, about 1.15 billion tokens) and had the bot study it. Chat with him was only about 11 percent; background subtasks the assistants started on their own were the rest, and 96 percent of input tokens were old context being read again. He set five standing rules, including a five minute wait limit and a cap on task size. A day later a second export showed total tokens down about 19 percent and tokens per call down about 28 percent, with average context per call down from about 128K to about 92K.
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.