Tokenmaxxing

If you work in cybersecurity, you already know the feeling of having more to investigate than hours in the day. The security research backlog grows while you sleep. Threat feeds update faster than you can read them. Incident reports pile up. So when AI tools showed up offering to help with all of it, of course, you went all in. You spun up agents. You burned through tokens. And then somewhere around your third active subscription, you realized you might have a problem.

At Sentry, we refer to it as tokenmaxxing (although NYT published some article defining it differently, if you were at BSides Sofia, you know who coined it first!)

TL;DR (Lazy Summary)

What Is Tokenmaxxing?

Tokenmaxxing is the compulsive behavior of maximizing AI token consumption across subscriptions, agents, and workflows. It combines the pressure to use every token available, the urge to buy more, and the anxiety of seeing any capacity go to waste. It affects power users across industries but hits especially hard in fields like cybersecurity, where the volume of work that could be automated always exceeds what you're currently automating.

It starts with one subscription. Then you realize you need more throughput, so you grab another. Then you start spinning up agents for tasks you used to do manually, then for tasks you weren't doing at all, then for tasks you invented specifically because you had an intuition on where the next greatest 0day is. Before long, you're managing a small army of autonomous processes like some kind of cybernetic necromancer raising workers from the void.

The tokens aren't enough. They're never enough.

How It Actually Looks

You wake up and check your token usage before your email. You have three console tabs open: one for your main AI subscription, one for the backup subscription you told yourself was "just for overflow," and one for pricing on a third service you're evaluating "for research purposes."

Your agent fleet has grown. You started with one doing threat analysis. Now you have one summarizing CVEs, one monitoring feeds, one drafting reports, one reviewing the reports the other one drafted, and one you set up last Thursday that you forgot about entirely, but is still running and producing output into a folder you haven't opened.

You don't shut them down. Shutting down an agent feels like betraying a friend.

At some point, you realize you're spending more time managing your agents than doing the work the agents were supposed to free you up for. This does not slow you down. You start thinking about building an agent to manage the other agents.

Why Tokenmaxxers Tokenmax

Because tokens are the closest thing knowledge work has ever had to a direct input-output lever. More tokens, more agents, more output. The math is simple and the feedback loop is instant. For anyone in cybersecurity or technical research, where there's always more to analyze than hours in the day, the temptation to just keep scaling is enormous.

And honestly? It works. Up to a point. The tokenmaxxer who has agents chewing through hacks around the clock is genuinely producing more than someone doing it manually.

Living With It

We're not going to pretend we've cured ourselves. Our team at Sentry uses this term because we recognized it in each other first. But we've picked up a few survival habits.

Cap your subscriptions. If you need two subscriptions, fine. If you're on four and can't remember which one does what, you've got a problem that more tokens won't fix.

Audit your agents weekly. If an agent has been running for days and you can't describe what it's producing, kill it. You can always raise it again later. That's the beauty of being a necromancer.

Use your tokens on problems. A hundred tokens spent on a real vulnerability finding are worth more than a thousand spent generating reports nobody reads.

Let the meter sit below 100% sometimes. Unused tokens at the end of the month might just mean you spent your time on deep work that didn't need AI. That's allowed.

Why This Matters

Tokenmaxxing sounds like a joke, and it partly is. But underneath it is a real shift in how technical work gets done. The people who figure out how to point their token budget and their agent army at the problems that actually matter are going to move faster than everyone else. In cybersecurity speed is everything.

So go ahead and tokenmax. Just make sure you're raising your army for the right war.

Sentry builds AI-driven cybersecurity. We tokenmax so you don't have to. Or so you can do it better. Read more at blog.sentry.security.