02 / The practice
Different disciplines.
A shared depth.
The questions that cross boundaries are usually the ones worth asking.
We bring the interface, the model, and the underlying system into the same conversation.
The question underneath
What happens when the model is wrong?
AI becomes useful when it connects to the way your business works. We build agentic workflows, retrieval, and integrations around your existing applications and data.
The work
- Agents and multi-step workflow orchestration
- Retrieval, vector search, and business data integration
- Application integrations, evaluation, and human review
An early decision
Define the acceptable error before choosing the model. Separate confident automation from the decisions that still need a person.
The question underneath
Will the architecture help the product change?
Web, mobile, desktop, and command-line applications. The visible experience and the underlying system are one engineering problem.
The work
- Product architecture and implementation
- Web, mobile, desktop, and API development
- Testing, deployment, and maintainable delivery
An early decision
Keep boundaries aligned with the product's real responsibilities. Add distribution when the constraints justify its cost.
The question underneath
What gives way first under real load?
High-throughput services, distributed infrastructure, and the operational details that determine whether a system keeps its promises.
The work
- High-performance and distributed services
- Streaming pipelines and storage architecture
- Performance analysis and operational hardening
An early decision
Measure the tail, not just the average. Make backpressure, recovery, and data ownership explicit before increasing throughput.
The question underneath
Is the bottleneck the machine, or the idea?
Graph, geometry, numerical, and combinatorial problems. Correctness first, then a careful examination of where the time and memory go.
The work
- Problem modeling and algorithm design
- Performance and memory optimization
- Correctness checks and comparative evaluation
An early decision
State the invariant. Find the counterexample. Choose the simplest algorithm that satisfies the actual constraints.
The question underneath
Which decision will be expensive to undo?
Hourly consulting and part-time fractional CTO work for businesses that need a senior technical partner. Direct involvement in the decisions and the business behind them.
The work
- Hourly technical consulting
- Part-time fractional CTO involvement
- Ongoing engineering with a consistent senior team
An early decision
Distinguish reversible choices from structural commitments. Spend the analysis where being wrong would cost the most.
How we work together
Continuity.
A team you know.
We work best with businesses that have a small development team, or none at all, and want to connect AI to a real product, workflow, or industry.
Ongoing engineering
A consistent team working with you on an hourly basis as the product and business evolve. Team size follows the technical challenge and your budget.
Hourly consulting
Direct work with Art on an AI integration, a technical problem, or the next decisions for your product.
Fractional CTO
Part-time technical leadership for a business that needs senior judgment without a full-time CTO engagement.
A team that fits
Art leads each engagement and brings in teammates to match the technical challenge and the client's budget.