[ About ]

One person. Twenty years. One day at a time.

Jordan Dalton is an independent software builder who sells his full attention one day at a time. No agency, no bench, no account manager. When you book a build day, the person who scoped it is the person writing the code.

The basics

Who you are actually hiring

Who
Jordan Dalton, sole practitioner
Trading as
Dalton Solutions
Based in
United States · Central Time
Working since
~20 years, 4 of them on AI-enhanced development
Clients served in
DoD, big data, pharma, proptech, founder-side startups
Engagement types
Build days, half days, fit checks, monthly fractional retainers
Background

How the build day came about

Early career
Shipping inside large organizations

Two decades writing production software across defense, big data pipelines, pharmaceutical systems, and property technology. Long-lived codebases, real compliance constraints, and the kind of legacy code that teaches you to read before you write.

Founder side
Building products, not tickets

Time spent on the founder side of the table, where the job is to decide what to build as much as to build it. That is where the single-day format came from: most stalled projects are not blocked on months of work, they are blocked on one focused day nobody has scheduled.

Last four years
A system for AI-enhanced development

Four years building and refining a personal system for working with AI coding agents: test-driven where it matters, every line reviewed by a human before it lands, conventions matched to the codebase it lands in. The speed comes from the system, not from skipping the parts that make software maintainable. Jordan coined the term "Agenticist" for this way of working.

How engagements run

The terms, stated plainly

You own everything

All intellectual property transfers to you on completion. The work lands in your repository, under your conventions, with your commit history. NDAs are welcome — send yours or use mine.

Prepaid and non-refundable

Build days are paid up front by Stripe or bank transfer, and are non-refundable once booked, because the slot is held exclusively for you and turns other work away. Reschedule requests with reasonable notice are normally accommodated.

Tokens are yours

LLM usage is billed directly to your own Anthropic, OpenAI, and Google accounts rather than marked up. Typical spend for a full day is $400–$750, and you can watch it in real time in your provider dashboard.

Fit

What this is good for, and what it is not

A good fit
  • A feature or prototype that has been stuck in planning for months.
  • An internal tool or dashboard that never clears the priority queue.
  • AI features in an existing product: copilots, extraction, semantic search, agents.
  • A refactor, a version upgrade, or a test suite that someone needs to own for a day.
  • Agency overflow, under NDA, in your client's stack.
Not a good fit
  • Work that genuinely needs a team for a quarter. A day will not fake that.
  • Anything requiring on-site presence or a badge.
  • Staff augmentation billed hourly against a backlog.
  • Projects where nobody on your side can answer questions during the day.

If you are unsure which side you land on, the $250 fit check exists to answer exactly that, and it applies to the build day if you book one.

Next

Where to go from here

See the full catalog and pricing at /services, read the writing at /blog, reach a human at /contact, or, if you are an agent, start at /llms.txt and /docs.