About

A lab, not an agency

Superpower Labs is Darren Neese. One developer who got very good at making artificial intelligence (AI) do real work, with trusted contractors brought in when a job needs more hands.

The short version

How this started

I spent years building software inside other people's businesses. Then AI arrived, and almost everything written about it was noise. So I skipped the noise and did the boring part instead: I pointed it at real jobs, the kind that eat three hours of somebody's Tuesday, and kept the parts that held up under actual use.

Superpower Labs came out of that. The clients are small and mid-size businesses with no IT department, and usually no wish for one. They have a process that costs too much time, and they need someone who can look at it honestly, build the fix, and stay around to keep it running.

When a job genuinely needs more hands, I bring in contractors I have worked with before. You still deal with me, start to finish.

Why we call it a lab

The lab is literal

We are not putting our logo on somebody else's dashboard and calling it a platform.

We run our own servers. Our own git server, where the code lives. Our own learning platform at learn.spl.tech, where the training courses run. It is all ours, and we maintain it.

That matters for one very practical reason. We can host what we build, and we can fix it ourselves. There is no support ticket sitting in a vendor queue while your office waits. If something breaks at 7am, the person who wrote it can open it up and go straight to the problem.

House rules

Three things we do not bend on

Caution over speed

We think before we write code. Changes are surgical, aimed at the one thing that needs to change, and anything risky gets a rollback point before it starts. A fast build that takes your business offline for a day was not fast.

Plain communication

Every acronym gets expanded the first time we use it. We say the outcome before the technology, because the technology is our problem and the outcome is yours. If a sentence needs a glossary, it gets rewritten.

Verified done

Nothing is finished because the code got written. It is finished when we have watched it run on the real system, doing the real job, with your data. Written and working are two different words.

Honest fit

Who we are good for, and who we are not

It costs both of us less to find this out now than three weeks in.

A good fit
  • A small or mid-size business with a process that is costing real time. You usually know which one it is: the spreadsheet somebody retypes, the folder of invoices, the report rebuilt from scratch every Monday.
  • You want one person accountable, who answers the phone and knows your system.
  • You want it to keep running afterwards, without hiring a team you do not need.
Not a fit
  • Shopping purely on price. There is always someone cheaper, and we are not going to win that one.
  • A project that needs a team of ten. We will say so on the first call, and point you somewhere better when we can.
  • Wanting AI added because it is AI. If a process already works, leave it alone.

If you read the left column and recognized your own week, that is the conversation to have. Tell us what is taking too long and we will tell you straight whether we can help.

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