At Pluno, we’ve built a culture of aggressively adopting AI tooling. The main reason? We want to move fast with a lean, efficient team.
Because of that, friends often ask what AI tools and workflows actually help us day to day.
We put together a list of the most valuable AI use cases for our team (outside our own product).
If you’re using AI in other ways, we’d love to hear how!
Let’s dive in:
Probably one of the best use cases of LLMs right now.
We use Cursor and Claude for coding tasks, including debugging, and test writing. Engineers prompt it as they work, and it’s part of our natural flow now.
We’ve created a small script that automatically creates PRs in all repos from the changes, and generates a markdown message with a short summary that we can post on Discord. This helps others understand the context quickly and pick it up for review.
Usually, Sales forwards a problem reported by a customer. We start an initial investigation, and once we confirm it’s a real issue, we use our AwesomeLinear bot to turn the thread into a Linear issue. The LLM generates the title, writes the description, and auto-assigns it if someone has already offered to take care of it.
We’ve open sourced it, so feel free to have a look here.
We pull domains from ahrefs and automatically scrape each one. An AI classifier then scores the website to see if the company fits our ICP. If it does, it’s tagged and sent to the sales pipeline. This saves hours of manual research every week.
Our product docs and FAQs are embedded into a web widget that answers customer questions. If the question is too complex or vague, our hybrid AI agent handles it, asking us for input on Discord.