Startups
Business Insiderabout 3 hours ago
0

My startup accidentally spent $30,000 on AI tokens in a month. It was worth it to move fast — but we found a simple fix.

AI

Startup cofounder Sarthak Dhawan accidentally spent $30,000 on Claude Code tokens in a month due to an expensive setting, but views it as worth the speed. Switching off 'fast mode' cut costs without sacrificing quality.

My startup accidentally spent $30,000 on AI tokens in a month. It was worth it to move fast — but we found a simple fix.

Intelligence Insights

Context + impact, normalized for TechCulture.

The Big Picture
Sarthak Dhawan, cofounder of Turbo AI, shared that his startup accidentally spent around $30,000 on Claude Code tokens in April 2026, up from their typical $20,000 monthly spend. The spike occurred because he left 'fast mode' enabled, which costs more per token. Despite the high cost, Dhawan prioritizes shipping speed over token savings, as slowing down would hurt momentum. The fix was simple: switching to standard mode, which offers similar speed and quality. The company, with 10 employees, has no strict AI budget and averages $20,000 monthly on AI tooling, viewing it as an investment in productivity. Dhawan also noted that AI has shifted his role from writing code to reviewing it, and he acknowledges his coding skills are atrophying, but the productivity gains make AI indispensable.
Why It Matters
This story highlights a growing tension for AI-native startups: the cost of moving fast with AI tools can spiral without oversight, but the real risk is not financial—it's the gradual erosion of engineering expertise as developers shift from writing code to reviewing AI-generated output. As more teams adopt AI coding assistants, the industry may face a trade-off between short-term velocity and long-term codebase understanding, forcing a rethink of how to balance productivity with skill retention.

Deepen your understanding

Use our AI to break down complex signals.

Select an AI action to generate more depth.

Two tech employees working at a desk
Two tech employees working at a desk
In April, cofounder Sarthak Dhawan's token use jumped from $20,000 to $30,000.

ATHVisions/Getty Images

  • Startup cofounder Sarthak Dhawan said he accidentally spent around $30,000 on AI tokens in a month.
  • He said they don't have a set AI token budget and prioritize speed.
  • Switching to a different setting on his Claude Code brought the costs back down.

This as-told-to essay is based on conversations with Sarthak Dhawan, a 21-year-old cofounder of Turbo AI, based in New York. His words have been edited for length and clarity.

There was one month this year where we accidentally spent around $30,000 on Claude Code tokens, which was not great.

I don't think of that month as a total mistake, though I've learned from it. That was a heavy shipping month, and the spend reflected that. High token months usually mean we're innovating or trying new things.

My cofounder, Rudy, and I launched our AI learning tool app in January 2024 while we were in college, and we dropped out to pursue our business full-time last year. The way I think of it, our bottleneck is shipping speed, not a few thousand dollars in tokens. Slowing down to manage our token spending would've cost us way more in momentum.

When we started coding the app, AI code-generation models were pretty terrible. I wrote the code myself from scratch. Now, coding has changed so much, and the actual task of engineering feels so different.

Business Insider wants to talk to founders of AI-powered companies with fewer than 10 workers, and employees working alongside AI agents, to understand what the "Tiny Teams" era really feels like — the wins, the fears, and the human skills that stand out. Share your story by filling out this quick form.

AI changed my job from writing code to reviewing it

More of my day-to-day is trying to plan and describe how things are working at a high level and reviewing AI-generated code than actually writing my own. It's a lot of vibe-checking stuff as I go.

I can feel my coding skills atrophying, and I think every engineer who uses Claude Code knows it's doing that to them. The more Claude takes over the task, the less engineers will actually know their codebase.

Twenty years ago, for example, a group of engineers working on a codebase knew the ins and outs of that code deeply. They understood every single architectural decision really well because they wrote it.

As AI writes your code, the code base shifts into this entity that you don't understand. At the same time, we can't avoid using it, because then we're going to be way less productive. The difference in speed isn't comparable at all.

Our AI costs grew, but we don't have a set AI spending budget

Because AI coding became more useful over time, we never set a tight budget for our AI token spending. We keep a loose eye on it, but there's no approval process for using tokens.

We have about 10 people on our team, and costs have crept up as more of us use AI for more work. We're fine with it as long as it's driving output. We average around $20,000 a month on AI tooling costs for software development.

For measuring token costs per developer, we just say use whatever you want, and we will continue to do that for now.

Our bill hit almost $30,000 after I left one Claude setting on, but it was an easy fix

In April, our AI token bill jumped to around $30,000. Part of the reason our bill was so high was because I was working in fast mode in Claude without realizing it.

The setting on Claude Code, called fast mode, makes it feel faster, but it also costs way more per token. When I turned fast mode on and left it on, that's when my bill skyrocketed.

Now, we flip fast mode on when we're pairing and latency matters; otherwise, we keep it turned off. Switching out of fast mode barely made a difference in the speed of output. Normal mode is plenty fast, and the quality's the same, so it was an easy save that we didn't feel that deeply.

When it comes to saving tokens, we don't overthink it

To save tokens, we grab the easy wins — default to standard mode, lighter models for simple tasks, don't dump whole codebases into context — but we're not stressing over every dollar. We crossed $13 million in lifetime revenue this year.

We're still in the mentality that if it makes us more productive, it's probably worth it for the business in the long run.

Do you have a story to share about how you're spending AI tokens? If so, please reach out to the reporter at aapplegate@businessinsider.com.

Read the original article on Business Insider
Startups Big Tech Developer Tools AI

Intelligence Exchange

0

Log in to participate in the exchange.

Sign In

Syncing Discussions...

Finding Related Intelligence...
My startup accidentally spent $30,000 on AI tokens in a month. It was worth it to move fast — but we found a simple fix. | TechCulture