Founder-friendly, team-ready
QA systems, amplified with LLMs.
Imagineers helps product and QA teams build reliable test automation without slowing product velocity. We use LLMs to improve coverage, cut maintenance, and reduce regressions, and publish what we learn in public.
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Your CI Already Knows What Broke. Let AI Tell You.
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When the model says “done,” what did it actually cover?
Most teams ship LLM-written code without a shared answer to that question. We publish open specifications that fix it — small, line-by-line formats that humans and language models can both read, review, and agree on before a single test runs.
A spec is a written contract. Without one, every “it works” is a guess.
Behaviour, in writing
Witness · v1
Thirteen labelled handles — Subject, Before, When, Then, Visible — capture every fact about a behaviour. No prose in the cracks.
Reviewable, not run
One source of truth
Engineers, PMs, and the model read the same lines. Coverage gaps are visible before code is written, not after a CI failure.
Translates to tests
Any test runner
Specs are upstream of runners. The same handles drop into Vitest, Jest, pytest, Playwright, Cypress — unit, integration, or e2e — without rewriting intent.
LLM-augmented QA consulting
We help teams build QA systems that keep pace with product. We are especially useful when speed is high and quality needs to stay steady. Engagements are short, focused, and hands-on, with clear outcomes you can ship.
LLM test design
Turn product specs into robust, reviewable tests.
Automation architecture
Build reliable pipelines that scale with your product.
QA practice upgrades
Update playbooks, coverage plans, and quality signals.
Enablement & training
Workshops for QA and engineering teams on LLM workflows.
Start a conversation
Share where QA is breaking down and what you need LLMs to unlock. We will respond within a few days if it looks like a fit.