AI engineering
Apply AI where it reduces work.
AI systems that automate repetitive operations and support human judgment inside real workflows.
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Agent Production Audit
Live
Systems that reduce work,
Systems that reduce work,
not add to it.
brimtech is an engineering studio building AI, data, and software systems that remove operational friction — and stay understandable as they scale.
Start here — the Agent Production Audit
Shipped an AI agent? Find out where it breaks before a customer does.
If you've put an AI agent into production — or you're about to — we run a two-week audit on it: where it breaks first, what it costs to run, a reliability baseline, and a ranked 30-day fix list. $9,500, credited against any build over $40K.
The problem
Most teams don't have a technology problem.
They have a systems problem.
Work piles up. Processes sprawl. Decisions get encoded into software — and then forgotten. The system keeps running. It just gets harder to reason about.
Operational drift, over time
Hidden complexity
Output clarity
Manual work that never quite goes away · "Temporary" processes that become permanent
Source: every team you've ever worked on
What we build
AI, data, and software — designed as one system.
Not isolated tools. Pieces that only make sense together. We design and build production systems that encode clarity into operations.
System map
AI
Data
Software
Three disciplines, one operating surface.
Boring decisions, by design.
Data engineering
Make information reliable.
Data systems that create a single source of truth and make automation predictable instead of fragile.
Learn moreSoftware engineering
Turn decisions into durable systems.
Software that matches real workflows, scales without rework, and stays understandable over time.
Learn moreOur principle
Constraints are a feature.
Automation promised leverage. It often delivered noise. AI can generate output fast. Data can move everywhere. Software can change constantly.
But volume doesn't equal progress. The most resilient systems have clear boundaries, limited surface area, and boring decisions you don't need to revisit every month.
How we engage
A short, deliberate path to working software.
01 — Understand
Map the system you actually have
Workflows, bottlenecks, constraints, risk. Not the ideal system. The real one.
02 — Find leverage
Where the work is
Where AI, data, or software will reduce work in a measurable way.
03 — Design
Constraints over options
Smaller, clearer solutions over sprawling platforms. Boring decisions you can defend later.
04 — Ship
Production-first, ownership-first
Build it, run it, hand it off cleanly. Refine based on usage, not assumptions.
Notes on Systems
Writing for people who care how systems behave.
Less trend-chasing, more operational clarity.
The Agent that doesn't need a rewrite
The agent that survives its first year in production is usually a thin layer over the system you already have. Your ten-year-old codebase is not the obstacle. It is the asset.
Evals Are the Tests You Should Have Written First
Renaming tests to evals did not create a new discipline. It created permission to skip an old one - the obligation to define what correct means before shipping.
Why Agents Get Canceled
An agent is a production system that happens to be probabilistic, and it has to be operated like one - the surviving minority are not the teams with a better model, they are the ones operating better.
Get in touch
Let's build something that stays sane.
Shipped an AI agent you can no longer vouch for? Investing in AI without a clear payoff? Maintaining systems no one fully understands? Start with the audit, or the checklist.