AI & productivity
01 / Overview
Fast is only useful if it's right.
AI coding assistants write code quickly. They also write confident, plausible code that is wrong, and someone without the experience to spot it ships it. We review and repair code like that against thousands of hours of knowing how this work should be done.
Speed comes from tools built for the job, and accuracy from the checks around them: generators and importers for the repetitive work, a written knowledge base for every project, small steps, tests against known values, backups, and a person reading every change.
Inside your software, we use language models for what they are good at, such as summarizing and explaining numbers that code has already calculated and checked.
02 / What's included
- Summaries, briefs and explanations written from your own verified data
- "What changed and why" reports ranked by impact
- Drafting from structured data, with a person approving the output
- Optional AI features that fall back cleanly when switched off
- Documentation and handoff notes, so your team or the next developer can pick up where we left off
- Review and repair of code written quickly with AI tools
LLM APIsPHPPythonJavaScriptAutomated testsGit
03 / How it runs
Calculate in code. Explain with the model.
Pay, prices and compliance stay in tested code. The model only describes numbers that have already been checked.
01
Find the fit
Where would a summary or explanation save time, and where must the answer be exact?
02
Verify first
Numbers are computed and reconciled in code before a model ever sees them.
03
Keep it optional
The feature can be switched off, logs what it sent and received, and sends only what it needs.
04
Review
A person checks the output until it has earned trust, and spot checks after that.
04 / From recent work
How we work with AI.
- Ported code checked against the original program's live output to the cent, with exact event-count matches (67 of 67, 43 of 43) before it was relied on.
- An analytics tab that explains a payroll period's changes in plain English, built on figures reconciled to the client's own records.
- Daily briefs generated from a live dashboard, with the written summary as an optional layer on top of checked numbers.
- Every project keeps a knowledge base and handoff file, so work continues cleanly between developers and tools.
Next step
Want AI in your software without the guesswork?
Tell us the task you have in mind. We'll tell you whether a model belongs in it.