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AI automation that runs in production, not in a demo.

We are senior engineers in McKinney, Texas who build automation for small and mid-sized businesses: AI agents, integrations and scheduled jobs that take repetitive work off your team, with a person approving what matters.

Good first candidates

The best first automation is boring: frequent, rule-heavy work that someone already does by hand every week.

  • Lead intake and follow-up. Web and email leads sorted, enriched and put in your CRM with a drafted reply.
  • Documents to data. Invoices, orders and forms read and entered into the system they belong in.
  • Reports from several systems. The weekly numbers pulled, checked and sent without anyone building a spreadsheet.
  • Content and listings. Research, drafting, images and posting on a schedule, the same pattern as our own DailyPrimeStore.
  • Inbox and support triage. Messages tagged, routed and answered in draft for a person to approve.
  • Data cleanup. Duplicates, mismatches and missing fields found and fixed across systems.

Proof we can point to: DailyPrimeStore

DailyPrimeStore is our own deals business, run by software. It researches products, checks prices, renders images and video, posts to several platforms and sends a weekly email, every day, on Astro, Cloudflare Pages, GitHub Actions and AI agents.

  1. ResearchAgents find products worth posting.
  2. Price checksOnly real price drops get through.
  3. Image and video renderingGraphics and short videos generated per deal.
  4. Multi-platform postingWebsite and social, on a schedule.
  5. Weekly emailThe best deals, rolled up once a week.

How we build it

Small, measurable steps. You see it working on your own data before you pay for the full build.

  1. Audit

    We map the work, rank what's worth automating and price each option. See the audit.

  2. Prototype on real data

    A narrow version runs against your actual records so you can judge the output.

  3. Build with guardrails

    Logging, limits, error alerts and a person approving anything customer-facing.

  4. Run and hand over

    We run it with you, measure the time it saves and document it so your team can own it.

How we handle AI and your data

  • You approve the tools. We list every service that will touch your data before we build.
  • A person stays in the loop. Anything uncertain or customer-facing waits for approval.
  • There is an off switch. Each automation can be paused without breaking your other systems.
  • We measure before we claim. Time saved is measured on your work, not quoted from a brochure.
  • Read all of our AI and data rules.

Questions about AI automation

How much does AI automation cost for a small business?
Most businesses should start with the AI Opportunity Audit, a fixed $1,500. It ranks the automations worth building and gives each a fixed-price build estimate. Builds are then quoted as fixed prices or billed at $100 to $125 per hour.
Which AI tools and models do you use?
We choose per job. Some steps use a commercial language model, some use a plain script or a scheduled job, and some need no AI at all. We tell you which tools touch your data before anything is built.
Do we need our own developers?
No. We can build and run the automation for you. If you have developers, we work in your repository and hand over documentation so your team can own it.
What happens when the automation gets something wrong?
Every automation we build logs what it did, has limits on what it can do, and sends anything uncertain or customer-facing to a person for approval. It can be paused without breaking the rest of your systems.

Find out what's worth automating first.

The AI Opportunity Audit: a fixed $1,500, delivered in 7 business days, credited toward the build if you go ahead.