A week ago, Nexus was an idea. Today it’s a live, deployed AI agent. The story of building it is really a story about what your organization can now afford — and I want to show you the math.


Not long ago, a custom software tool — something built for exactly your workflow, your data, your customers — meant a development team, a months-long timeline, and a budget most small and mid-sized organizations couldn’t justify. So you did what everyone does: you made off-the-shelf software almost fit, or you held a process together with spreadsheets and hope.

That math has changed. And I can show you exactly how, because I just lived it.

Meet Nexus

Nexus logo

Nexus is an AI tutoring agent I built to teach analytics. It runs as a web app and as an add-in that lives right inside Excel. It’s wired to a large language model through a secured backend, it reads and writes a live spreadsheet, and it walks a learner through a structured teaching process one step at a time. It’s deployed. It’s public. It works.

I built it as one person, in a compressed window, using AI-assisted development the whole way.

Take a second with that, because it’s the point: a working, deployed, dual-surface AI tool — the kind of thing that would have been a small software project a couple of years ago — built by a domain expert, fast.

The honest part (this is what you’re actually paying for)

Here’s the piece that matters if you’re weighing whether to have something like this built for you.

The AI wrote most of the code, and it wrote it quickly. But code that runs is not the same as code that’s correct. During the Nexus build, the interface kept rendering wrong — and it was invisible in every screenshot I took. It only surfaced when I stopped trusting how it looked and started verifying how it actually behaved, measuring the layout directly. The fix was one line. Finding it was the whole job.

That’s the pattern, every time. AI has compressed the implementation — the typing, the boilerplate, the syntax — from weeks to hours. What it has not replaced is the judgment: knowing what to build, breaking it into the right pieces, verifying it actually works, and making it safe enough to put in front of real people. On Nexus, that meant building in guardrails so it never fabricates a number and never lets a bad conclusion slide, and locking down the backend so a stray link couldn’t run up a bill.

The value was never the typing. It’s the specification and the verification. That’s the expertise, and that’s what a good build is actually made of.

What this means for your organization

If you’ve ever caught yourself thinking “there should just be a tool that does X for us” — X is now probably buildable, quickly and affordably. A few of the shapes that “X” tends to take:

  • An internal assistant that actually knows your policies, your products, or your documentation — so your team stops digging through PDFs.
  • A customer-facing helper on your site that answers real questions instead of deflecting them.
  • A training or onboarding tool tailored to how your organization actually works, not a generic course.

A data workflow — the monthly report, the reconciliation, the spreadsheet everyone dreads — that runs itself and explains what it found.

The barrier to all of these used to be cost and a development team. That barrier is dropping fast. The organizations that notice first are going to get tools built for their exact problem while everyone else is still stretching software that almost fits.

Let’s build yours

That’s what Bytes and Bits does: custom AI tools, built by someone who knows how to specify them, verify them, and make them safe — not just prompt them into existence.

If you’ve got a workflow, a training gap, or a customer touchpoint that’s begging to be a custom AI tool, let’s scope it. Bring me the problem. I’ll tell you honestly whether it’s a good fit, what it would take, and what it wouldn’t — before you commit to anything.

Email me at penwellt@bytesandbits.org Tell me the “there should be a tool that does X” you’ve been living with. There’s a good chance there now can be.


Tasha Penwell builds AI-powered tools through Bytes and Bits. Nexus is one of them — you can see it live here.


P.S. — how did you find this post? If it surfaced when you asked an AI assistant or a search engine a question, that wasn’t luck — it’s generative-engine optimization, and it’s the other half of what I do. Through Pretty Nerdy Digital Marketing, I help businesses get found in the age of AI search: GEO, SEO, and AR. Bytes and Bits builds the tool; Pretty Nerdy makes sure the right people find it.Pretty Nerdy Digital Marketing

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