Engineering for the part of the business software misses

Creux exists for the space between a product idea and the environment it needs to survive in. We combine product engineering with proximity to the people, systems, and decisions that make the work real.

Product focus

Agentic

Team model

Forward-deployed

Working posture

Build-first

• [01]

  The workflow is the starting point

  We begin with what people are trying to do, where the current system breaks down, and what a better operating path needs to support.
• [02]

  Agents need a product around them

  Useful agentic systems include context, tools, boundaries, interfaces, and people who can understand what the system is doing.
• [03]

  Deployment is part of engineering

  A system is not finished when it works in isolation. It needs to fit the environment, team, and decisions around it.
• [04]

  The first release is a beginning

  Real use reveals the next product questions. We keep the feedback loop open so the system can improve with the work.

• [01]Specific problems over broad hype.
• [02]Products over disconnected demos.
• [03]Context over assumptions.
• [04]Useful systems over unnecessary complexity.
• [05]Feedback after launch.

• [01]Clear about what is known, assumed, and still unresolved.
• [02]Close enough to the work to see the important details.
• [03]Technical enough to move from product shape to deployment.
• [04]Focused on systems that create durable operating value.

Creux is intentionally small. The goal is direct access to the people designing and building the system, not layers of account management.

Founder & Lead Engineer

Dakota St. Pierre

AI infrastructure and workflow automation

Creux is built around practical implementation. Dakota leads strategy, system design, and the build work that turns messy operations into usable software.

• Ops systems
• Automation design
• AI tooling
• Delivery architecture

CBO (Chief Barking Officer)

Oscar

Morale, perimeter security, and meeting supervision

Oscar specializes in presence, interruption management, and making sure no build review happens without proper oversight.

• Patrol
• Morale
• Alerts
• Snacks

• What does Creux AI do?

  We build custom AI agents, workflow automations, and internal ops systems for service businesses and small teams. We build for production use, and label concepts and prototypes as such.

• How much does custom AI development cost?

  It depends on the workflow, the systems involved, and whether you want us embedded after launch. We start with a discovery call, scope the smallest useful first version, and give you a written quote before any work begins.

• Do you only work with Austin companies?

  We're based in Austin, TX but work with clients nationwide. Most of our work is done remotely.

• What's the difference between an AI agent and a chatbot?

  A chatbot follows scripts. An AI agent reasons, makes decisions, and takes actions across your systems. We build agents that actually do work, not just answer questions.

• How long does a typical project take?

  Most projects ship in 4-8 weeks. We move fast because we keep teams small and focused.

• Should I build custom AI or use off-the-shelf tools?

  Off-the-shelf often gets you most of the way. If the part it misses is where your competitive advantage lives, custom is worth it.