AI Consulting · Automation · Las Vegas
We help businesses find the right places for AI, then turn good ideas into useful automations, assistants, and software that save time and improve results.
Plan an AI project ↗Connect the tools your team already uses. Automate intake, routing, research, reporting, follow-up, and repetitive operations.
Create focused assistants that answer questions, work from your knowledge, draft useful outputs, and know when to hand work to a person.
Design multi-step AI workflows that can plan, use tools, check their work, and move tasks forward with clear human approval points.
Build dashboards, internal apps, knowledge tools, and customer experiences around the way your business actually works.
Our approach
We embrace agentic development to get from idea to tested result faster. AI agents help us research, prototype, write, refactor, test, and document while we provide the product judgment, architecture, review, security checks, and final accountability.
That means more useful iterations in less time, not blindly shipping whatever a model produces. We choose the right model and the right amount of automation for the task, then keep people in control of important decisions.
The stack
We build apps and automations with technologies like Tailwind CSS, PHP, React, SQLite, and MariaDB. We also work with WordPress and Webflow when they are the best fit for the business, the team, or the budget.
Model strategy
Our toolkit includes Gemini, ChatGPT, Xiaomi Mimo 2.5, GLM 5.3 Flash, Deepseek V4 Flash and Pro, Minimax, and more. Model capabilities and pricing change quickly, so we treat these as examples in a living toolkit rather than a fixed promise.
We balance each project and task with the right LLM for the right combination of value and power. Sometimes that means a fast, economical model; sometimes it means a stronger model for complex reasoning, code, context, or quality-sensitive work.
Find the bottlenecks, handoffs, and decisions that are worth improving.
Select the right workflow, model, platform, data boundary, and level of human review.
Use agentic development to test the idea with real inputs before overbuilding it.
Add permissions, logging, fallbacks, evaluation, and support so the system is ready for real work.
Start with a readiness session, then scale into automations, builds, or a retainer as the results justify it.
Prices shown are starting points. Data complexity, integrations, and review requirements affect the final estimate. We'll always confirm scope and pricing before work begins.
One-time working session
Fixed-scope build
Milestone payments
Advisory and reviews
Reserved monthly capacity
Tell us what is slow, repetitive, or harder than it should be. We will help you find the practical next step.
Start the conversation ↗