Questions before
we build the thing.

We build small custom business tools around a repeated operational problem. That might be a field-to-office handoff, customer intake, callback ownership, photo and proof collection, approvals, follow-up, or work that gets completed but never makes it onto an invoice.

A good fit is repeated, expensive, and specific: the same information gets retyped, a handoff routinely breaks, proof lives on personal phones, customers fall through, or the whole process depends on one person remembering everything. If fixing the gap would save time, protect revenue, or improve follow-up, it is worth a conversation.

No. Show us the real workflow, the people involved, where it goes wrong, and what the failure costs. Choosing the smallest useful tool—and deciding whether AI belongs in it at all—is part of our job.

HOVEL tools are built around a particular workflow, but custom does not have to mean enormous. We start with the smallest useful version, use proven building blocks where they fit, and avoid features that have not earned their way into the workday.

We are based in Lubbock and focus on owner-led businesses and working teams in West Texas. The best fit is a team close enough to the daily work to show us what really happens and willing to test a practical first version.

No. Construction is a clear example because field proof and billable changes often get lost, but the same pattern appears in hospitality, customer service, sales follow-up, property operations, and other businesses with busy handoffs.

Start with the ugly version. Tell us what happens on a normal day, where the thread gets lost, who has to recover it, and what happens when nobody does. You can email Tom or call 806-552-9290; a polished presentation is not required.

There is no honest one-price answer before we understand the workflow. Cost depends on the number of people and systems involved, the data that must move, and the smallest version worth building. We define those boundaries and give you a clear scope before a build starts.

Timing depends on scope, access to the people doing the work, and any systems the tool must connect to. We begin with a narrow, useful version and set a realistic schedule after discovery instead of promising a generic deadline before seeing the problem.

Sometimes the right answer is to connect, simplify, or fill a gap around software you already have. Replacement is not the default. The goal is to fix the repeated failure with the least disruption that can actually hold up.

AI can help turn voice, photos, notes, or messy text into organized information. It can summarize, extract details, and flag an item for attention. We use it when that makes the workflow simpler—not because every project needs an AI label.

Not where judgment belongs to your people. A tool can keep the evidence, owner, status, and next step visible. Approvals, exceptions, money decisions, and uncertain cases stay in front of a human with the context to decide.

We identify what information the workflow truly needs before we build. The design should collect the minimum useful data, make access and handoffs visible, and avoid sending sensitive details through a step that does not need them. Any special legal, contractual, or industry requirements need to be raised during discovery so they can shape the scope.

It is our reality check. If a tool only works at a quiet desk with perfect signal and perfect input, it is not ready for field work. We test for one-handed use, interruptions, bad signal, imperfect notes, and the ordinary pressure of a real day.