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If you use AI correctly, you can make your customer experience more human. Here’s a useful example:
You waited anxiously to buy tickets online to see your favorite band, Twenty One Pilots, play live. Tickets sell out almost instantly, but you somehow manage to grab tickets for you and your best friend.
Except due to an error on the website, seats were randomly reserved, and since nobody is seated where they want, chaos ensues for the support team responsible. 10,000 support tickets flood the inbox, and the team of 6 support reps is stretched thin. The normal, easy-going introduction goes out the window and is instead replaced by an impersonal copy-and-paste reply.
Courtesy is exchanged for pure efficiency. There’s no time for relationship building. Communication between support and the customers becomes purely for information exchange and nothing else.
Let’s imagine the support team instead has AI that is well-configured and can solve this issue while maintaining a light-hearted conversation (not hard to do nowadays). Remember that AI answers immediately and is not limited by the number of conversations.
Most of these tickets will get answered and solved much quicker than the human support team could’ve done. The remaining issues AI can’t solve, the support team can now take a second to ask the customer how they are doing and take a sip of tea before diving into fixing their issue.
If you use AI correctly, you can make your customer experience more human.
recently wrapped a project called Unjamm, sharing it because it was honestly one of the most fun builds i've worked on.
airlines owe passengers a lot of money in flight-delay compensation every year, but most people never claim it. the process is scattered across 5 different regulations depending on where you fly (EU 261, UK 261, Canada APPR, US DOT, Montreal Convention) and each one has its own weird edge cases.
we built it to automate the whole thing. you forward your flight confirmation to the claims inbox, it monitors the flight in real time, and if the delay qualifies it files the claim with the airline and keeps following up until you actually get paid.
trickiest part was the rules engine. mapping every flight against all those regulations without missing edge cases like codeshares, connecting flights, weather exemptions. ended up building it as a decision tree that a lawyer helped audit.
stack was Laravel, MySQL, a bunch of state machines for the claim flow, and a real-time flight data provider.
open for similar work. laravel backends, saas builds, automation, ai integrations. based in Delhi, work with clients anywhere. dm me if you're building something.
Users spend up to 4 hours straight talking to Sam about their addiction, and they keep coming back because Sam listens without judgment.
Sam is an AI chat companion inside Sunflower. Instead of the usual guilt-driven recovery app tone, Sunflower built a space that felt human and safe.
Many users credited Sam with helping them quit and stay sober. We designed Sam to feel human. The interface had to feel like talking to someone who gets it, instead of a chatbot running through prompts.
Sam became the most beloved feature in the entire app. The healthcare & wellness SaaS app grew from a founder's side hustle to 100K MAU, 10K paying users, $1M ARR, and YC acceptance.
