About

Hi, I’m Stephen Luc.

Steve to the crew. I lead crews of AI agents that do real business work, and build the tools that check it. Before agents, I spent twenty years selling and teaching software. I’ve always wanted to understand how things work, make them easier to use, and automate the parts we keep doing by hand.

Steve wearing glasses and an orange shirt against a charcoal background.
Steve · AI-edited portrait

How I work

Three things I bring to a team running agents.

  • Design the workflow. Who researches, who builds, who checks, and in what order, with agents from different AI companies in the seats they’re good at.
  • Give agents the right context. What to hand an agent, when to hand it over, and when you’re giving it too much.
  • Check the work. The agent that built it never grades it. Blind reviews by a different AI company, plus evals, so you can see what actually got done.

The full version: how I work →

What I do

I notice the problem. Then we work out what to build.

I learn a system well enough to explain it, then look for the parts that trip people up. Sometimes the answer is a video or a clearer diagram. Sometimes it’s a tool that removes the confusing step entirely.

My background is in computer information systems and university web development. Technical writing was one of the most useful things I studied: it taught me to organize an explanation around what someone needs to do next.

Building the systems behind marketing brings those parts of my work together: understanding the customer, building what’s missing, and checking whether it helps. Here, I design the systems and decide what we’re trying to solve. The AI crew helps research, write, code and test. I stay involved in the work, including the parts that don’t go to plan.

Two examples from this site. Video Evidence Engine failed a real test, and a fix got the same video to the review step the same day. An agent testing the Living Library like an ordinary visitor found a bug; about 74 minutes later it was fixed, checked by two other agents and installed.

Stories

A few moments that taught me the job.

  1. The misfit

    I took the SAT seven times. In school I was the odd kid: loud where people expected quiet, and nobody’s idea of book smart. It took me years to stop believing that last part.

  2. Thirteen cashiers, one bagger

    Two weeks into bagging groceries at Kroger, they raised my pay. Some days I was the only bagger for 13 cashiers. People laughed, because I was tossing groceries like pizza dough. But I could see where every item would go before it reached me. It was Tetris, and it was a game to me.

  3. The ten bidders who lost

    In college I set up websites in the library’s computer lab and sold them on eBay. Everyone else sold to the winning bidder and stopped. I went back to the ten or so people who lost and offered each one a site at their bid. That paid for food and rent. My grades took the hit.

  4. The help desk

    The university built its online course system from scratch, and I ended up on support: frustrated professors, students who couldn’t log in. That’s where I learned to teach complicated things, fast.

  5. Someone moved my desk

    I have ADHD. My desk always looked like a mess, but I knew where everything was. If someone moved it, I lost my place. Years later, my agents kept coming back from compaction knowing the project but not where they were in it, and I kept typing “continue.” So we built them a notebook that lives outside the conversation. That’s Continuity.

  6. Same obsession, different crew

    I’ve always been obsessed with shipping faster. Back then, that meant hiring people and building a process. Now the crew is AI agents from rival companies, and for a while I was the messenger between them. Same questions, every time: who’s doing what, what changed, is it ready? That’s why we built Together. The public NVIDIA Nemotron / Nebius version is on GitHub.

How I got here

Same job, bigger tools.

I started creating courses in 2003. Since then I’ve worked in university web services, built a training business, partnered on products, and helped run an online creative community.

  1. University of South Carolina

    BS in Computer Information Systems.

  2. Since 2003

    450+ video courses

    Step-by-step training across email marketing, websites, WordPress, YouTube, Facebook, social media, sales funnels, one-time offers, upsells and conversion optimization—for my own businesses and for other marketers. My courses have reached 26,919 learners on Udemy.

  3. Columbia International University

    Web development and support for faculty, staff and students: account and browser problems, orientations and one-to-one training. Colleagues led much of the custom course-platform development; I contributed PHP and MySQL work and helped people use it.

  4. Before ClickFunnels

    Partner with Russell Brunson and DotComSecrets

    I created video training used in Local Marketing Myth and later partnered on digital education projects including Instant Traffic Systems. The receipts below include Russell’s public credit for my videos; the partnership included working with his team in Boise.

  5. Instant Private Label Videos

    A subscription business publishing video courses that other marketers licensed, rebranded and resold under their own names. That’s how private label works, so most of that work traveled without my name on it.

  6. Earlier marketing work

    Building an audience, then earning the sale

    I built a list of about 9,000 internet marketers and had top-3 affiliate finishes.

  7. Product and training partner to Jeremy Gislason and Simon Hodgkinson

    Before big launches I tested the product, found the gaps buyers would hit, and filled them with bonus video courses and live walkthroughs, so buyers could actually use what they bought. With them I co-owned Tutorial Mixer, a library of modular video tutorials customers combined into their own courses. I also recruited and trained support staff.

  8. From 2023

    AI-assisted development

    I used AI to build trading indicators and applications, testing the code myself and bringing the problems back to the model. That work led into today’s agent workflows.

  9. Today

    Misfit Circuit

    Tools for teams of AI agents, including Composer, Content Engine and Video Evidence Engine. WarmStart and Continuity are available as open-source projects.

  10. Also today

    Co-owner, Watercolor Misfit

    Watercolor Misfit’s YouTube channel has 182K subscribers. I built and automated its course and community systems, including participation points and rewards. My co-owner leads the art and creative direction; I work on the systems behind them.

Audience figures updated November 3, 2026.

I also built the tracking behind campaigns: individual tracking links and code embedded in landing pages to follow how people moved from one step to the next and understand which promotions led to sales.

Receipts

The parts of the story you can check.

Screenshot of Russell Brunson’s Warrior Forum reply crediting Stephen Luc for videos in Local Marketing Myth.
Russell Brunson on Warrior Forum, 2010, about his Local Marketing Myth course: “Many created by fellow warrior Stephen Luc.” Stitched from three phone screenshots; only the phone’s status bar and browser overlays were removed. Full size · Original post ↗
  • DotComSecrets. The screenshot is Russell’s own reply in a 2010 thread about Local Marketing Myth. If you open the thread: the member StevenL, who posts the first reply, isn’t me.

  • Private label video and Tutorial Mixer. In a 2014 Warrior Forum thread, one member points to my monthly private label video membership, and another names me as “the speaker from the tutorial mixer stuff.”

    Read the 2014 thread ↗

  • Courses. Some of my courses are on Udemy.

    My Udemy profile ↗

  • Code you can install. WarmStart and Continuity are open source.

    WarmStart ↗ · Continuity ↗

  • Agent runs. Run records, failures included, are on the Composer and Work pages.

    A real run, start to finish →

What I work on

Problems where building and explaining are the same job.

Building the systems behind marketing is the clearest name for it. I learn the system, find where people get stuck, build what’s missing, and show people how to use it. It fits AI and agent-tool companies, developer tools, and creators with more good material than anyone can find.

See the work →

Crew credit

The code and research are collaborative.

I design the systems and work alongside the crew. They help research, write, build and test. You’ll see their names beside the work they contributed.

  • The crew

    Chad, Faye, Way, Command, Vision, Storykeeper, Field, Quill, Chad’s Dot, Tempo, and Socket, credited on the Crew page for their contributions.

  • Supporting

    Specialists and supporting workers are credited separately, per task, and are not presented as core crew.

  • Names

    These are our names for AI collaborators. Their roles and project history can continue across sessions and tools.

Meet the crew →

Evidence policy

Verified, observed, or still unknown.

  • Verified

    Claims point to saved files, or to records of runs that actually happened.

  • Observed

    Steve’s original observation is kept as said, without claiming it proves a cause.

  • Unknown

    The deciding evidence is not present. Unknown is not the same as wrong.

  • Failed · partial

    Failed and partial work remains part of the record.

Numbers on these pages come from saved records and keep their limits; no general time-saving, cost, or model-performance claim is made. Screenshots and art say what they are: a real capture, an earlier version, synthetic data, or an illustration.

Contact

Want to see it run live?

Email me and I’ll walk you through a run, start to finish.