Helping industry leaders deploy custom AI solutions that deliver a positive ROI within weeks
Boston, MA
Joined March 2021
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A proven playbook that has driven 14 internal startups and 50 client apps to one billion dollars ✅
More than 50 experts with a decade of experience ✅
Leading development agency in Boston ✅
Ready to build your app✅
A NineTwoThree engineering interview tests four things. Only one of them is technical.
Technical fluency is the baseline. You need it to build here. But the engineers who thrive on our team show us something beyond it.
If you are preparing to interview with us, spend less time memorizing frameworks and more time remembering the projects that tested you. That is the conversation we want to have.
Yurii Duda works as a Senior Full Stack JS Engineer at NineTwoThree. We asked them to describe a normal workday in their own words.
What does a normal day look like from start to finish?
A normal workday for me starts with checking my email and reviewing my tasks for the day 🧵
In other cases, someone else may already have more experience with the same problem.
For example, we can discuss different approaches and try to find the best architectural solution together.
We recently saw an AI project proposal where the client told us the proposals they got were "between $20,000 and $280,000."
For the exact same project.
From a client standpoint, that is bonkers.
How do you judge a good proposal from a bad one?
ChatGPT is making the Yahoo mistake.
In 1999, Google simplified the search bar to help you get to other sites.
In 1999, Yahoo had hundreds of links on the homepage, all designed to keep you on Yahoo.
ChatGPT has to figure out how to align incentives, or its ads will fail.
Vibe coding a beautiful UI takes seconds.
Vibe coding a usable app with RLS, authentication, integrations, edge cases and scalability for ACTUAL USERS (beyond yourself) could take months.
Replacing employees with AI is not the goal. The goal is focusing more time on Work That Matters Most (WTMM). That's the vision that excites us.
CEOs using AI:
Chasing the latest tool – Claude, OpenClaw, the newest GPT – is a distraction.
MIT reports 95% of AI projects never leave pilot because teams focus on tools, not outcomes.
Start with your biggest bottleneck. Set clear KPIs.
Then pick the AI that solves it.
AI works. We have multiple 6-figure products delivering 7-figure results.
We know it sounds crazy.
But when you start focusing on what's realistic and possible with AI, instead of following AGI...you get results.