Jacob Bank’s Post

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Founder/CEO at Relay.app | former product lead of Gmail/Calendar and CEO of Timeful (acq by Google)

It's been really interesting to see people use AI steps in Relay.app to do things that would have previously would have required some programming skill with a simple (or not so simple script). These little utilities aren't mind blowing like AI-generated music or videos, but they're going to be sooooo useful to so many people that haven't previously been able to write these scripts. Here are a couple of examples that I've seen recently: 1. Find the next business day - Many of our customers want to only communicate with their clients on business days, so they want their automations to "wait" until the next business day. But it's not trivial to figure out what that is! Weekends are different in different countries and lots of places have different holidays as well. Instead of writing a script with a ton of rules, you can now just create a simple AI step with the prompt "Tell me the next business day in California" and it will output the right date! 2. Map items into categories - One of our customers is a vintage t-shirt broker and one of their challenges is quickly mapping new inventory into their standard categories for size, era, style, etc. Before, they would have needed an epic switch/case/if statement to do the mapping but now they can just paste in their specifications into a prompt and the AI will figure out how to output the right category. 3. Formatting text, dates, and numbers - It's so common to get a date in MM/DD/YYYY and need to transform it to DD/MM/YY or to translate a time from 24h to AM/PM. If you're not handy with regular expressions, this has actually been really annoying to do. Now, you can just tell the AI in plain language what format you want and it will get it right. Making this "bite-sized" programming more accessible via natural language is going to be such a cool way to bring more people the value of automation, programming, and AI. It's simple, predictable, and easy to understand, and it can open doors to more complex use cases.

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Jon Norris

Marketing @ Imaginario.ai - AI for multi-format video production

1w

I think this is absolutely the best use-case for LLMs right now. Small, low-stakes timesavers that you can spin up in a few minutes that save you hours per month. I've lost count of how many I've built!

🤏 Pavlo Cherniakov

b2b saas copywriter and messaging strategist

1w

Nice! Do you find hallucinations to be an issue at all?

Ashwin Limaye

Building something new | Former [Startup CPO, Product@Alphabet, McKinsey] | CS@IITBombay

1w

Interesting. In implementation, do you actually run the LLM, or have it create code and then the system will run code instead? (Presumably this is cheaper and determinist)

I love this! Times of ‘why is this simple thing so difficult to do?’ are over. My favourite productivity quote ‘we made simple things easy to do’ is becoming a reality.

Madison Payton

Notion + Automation for SMBs ⚙️ Helping 1,400 business owners save time and scale faster with automated business systems.

1w

Dang, that t-shirt one is awesome! Definitely lots of use cases there for e-commerce and other shop runners (like etsy and shopify sellers). Might need to play around with that one...

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Tirth Shah 🍕

Founder at slyce.dev and yomoai.com | Exploring & Sharing how to build Better SaaS Products and Drive Product Growth, faster ⚡️ | The pre-PMF founder

1w

Jacob, I knew this was coming, and now you guys have made it happen. The first time I saw this implemented was in Zapier—just say what you want to do, and it creates all the workflows for you. They're also converting natural language into JSON or micro code behind the scenes. I can't wait to see more game-changing AI applications in Relay.

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