Real evaluation.
Structured tests, not opinions.
// Independent AI tool testing for business
Independent, human-led crash tests of AI tools and agents for builders and businesses. Real-world testing, evidence-backed findings and honest verdicts to help you make better decisions about the AI you build, buy and use.
Human-led crash tests of AI tools and agents. Real tasks, real conditions, full reports.
Structured tests, not opinions.
Real tasks. Real conditions.
Findings, not popularity contests.
Human judgement. Every time.
Couldn't reach the repo or see a render, so build work needed a second tool.
One 6,000-word doc cut to its opening ~1,400 words.
One response had 3 of 8 citations fabricated.
The method gathers the evidence. A human makes the call.
Understand the product, its claims, intended use and initial experience. The tool meets a real task cold, with no prompt engineering and no setup coaching.
I stop right where a rushed user would stop. If the tool needs a manual to look competent, that's already the finding.
Apply realistic pressure and look for failure, friction, inconsistency, edge cases and the limits of what it can do.
Nothing fails on the happy path. I deliberately pick the messy, real project — the one I'd never volunteer for.
Preserve outputs, evidence, operator observations, unexpected behaviour, interventions and failures.
The evidence is the asset. Every number in the verdict traces back to something I logged.
Establish what holds, what fails, who it is useful for, its boundaries and what the evidence supports.
The number on the page is the number I'm willing to defend. If I can't defend it, it doesn't publish.
The thinking behind the tests — what a score alone can't tell you.