Engineering notes
How we build AI-generated, quality-gated hiring assessments — the architecture, the trade-offs, and the honest parts.
July 18, 2026 · 6 min read
Automated hiring tools sit in the most regulated corner of applied AI. Why we treat NYC Local Law 144 and the EU AI Act as design inputs rather than legal afterthoughts — and what that means concretely in the product.
July 18, 2026 · 5 min read
Banning AI in a test measures whether candidates can work without the tools they'll use daily. An AI Sandbox measures the real 2026 skill: working with AI well.
July 18, 2026 · 5 min read
The strongest anti-cheating measure isn't surveillance — it's content candidates can't find in advance. How freshness plus layered integrity signals protect a score.
July 18, 2026 · 6 min read
Resumes tell you where someone has been, not what they can do. A practical look at screening on demonstrated skill first — and why it widens, and fairens, your funnel.
July 18, 2026 · 5 min read
Time-to-hire is where good candidates are lost to faster offers. Where the days actually go — and which stages AI-generated assessments compress.
July 18, 2026 · 8 min read
Cognitive, situational, behavioural, domain and AI fluency — the five signals that predict whether someone can do the job. Why a single score hides most of the picture.
July 18, 2026 · 6 min read
Every role now works alongside AI. AI fluency measures whether a candidate uses it with judgement — not whether they can recite prompt tips. Why it belongs in your assessment.
July 18, 2026 · 5 min read
Cognitive tests are among the strongest predictors of potential — and the easiest to over-weight. How to use the cognitive pillar without turning your funnel into an IQ contest.
July 18, 2026 · 5 min read
The gap between a good test-taker and a good hire is judgement. How situational judgement scenarios surface it — and why they resist memorisation.
July 18, 2026 · 5 min read
'Culture fit' is where bias hides. How behaviourally-anchored rubrics turn soft traits into observable, comparable signals two reviewers can agree on.
July 18, 2026 · 5 min read
Cognition and personality predict potential; domain tests reality. How per-role, concept-tree-grounded domain questions measure the work itself — fairly across candidates.
July 18, 2026 · 7 min read
Cheated assessments, impersonation and AI-ghostwritten answers don't just waste a screen — they poison every downstream decision. The impact of hiring fraud, and how H-Evaluate's integrity engine resolves it.
July 18, 2026 · 6 min read
NYC LL144 requires an independent bias audit before an automated hiring tool screens candidates. What the law covers, what an audit measures, and what a vendor can and can't do for you.
July 18, 2026 · 6 min read
The EU AI Act classes employment-related AI as high-risk, with duties around documentation, human oversight, logging and transparency. What that means in practice for hiring assessments.
July 18, 2026 · 5 min read
Adverse impact is when a selection process screens out a protected group at a disproportionate rate. The four-fifths rule is the standard first test — here's how it works and how to monitor it.
July 18, 2026 · 6 min read
Hiring collects sensitive personal data. What GDPR requires around lawful basis, consent and data minimisation — and how to honour deletion without destroying your audit trail.
July 19, 2026 · 7 min read
A vague or bloated job description filters out the people you want and attracts the ones you don't. A practical guide to writing JDs that are clear, inclusive, and set up a fair assessment.
July 19, 2026 · 8 min read
Pre-employment tests predict performance far better than résumés — if you use the right ones. A plain-English guide to the main types, what each measures, and how to pick a fair, defensible battery.
July 19, 2026 · 7 min read
Good intentions don't remove bias — structure does. Concrete, evidence-based steps to make each stage of hiring fairer, from the job ad to the final decision.
July 19, 2026 · 8 min read
Hiring engineers on résumés and whiteboard trivia is how you miss great ones and hire the wrong ones. A practical, skills-first process — from scoping the role to a fair final decision.
July 20, 2026 · 7 min read
A mis-hire costs far more than a salary. Here's what it really adds up to across productivity, team and re-hiring — and the assessment practices that lower the risk.
July 20, 2026 · 7 min read
Work sample tests measure what a candidate can actually do — and they predict on-the-job performance better than résumés or unstructured interviews. Here's how to use them well.
July 20, 2026 · 6 min read
Unstructured interviews are one of the weakest predictors in hiring. Structured interviews fix that with consistent questions and scoring — here's how to run them.
July 20, 2026 · 6 min read
The candidates you most want have the most options. Here's why candidate experience decides who accepts — and the practical ways to get it right.
July 20, 2026 · 6 min read
Quality of hire is the metric that matters most and gets measured least. Here's a practical way to define it, track it, and use it to sharpen your hiring.
July 20, 2026 · 7 min read
'Fluent in Japanese' on a résumé is a claim, not evidence. Why language proficiency deserves a real gate in your hiring assessment — and what native, multilingual assessment actually looks like.
July 21, 2026 · 7 min read
'AI-native' is the new buzzword — and most tools using it just bolted a chatbot onto a legacy product. Here's what AI-native hiring actually means, and how to tell the real thing from the veneer.
July 21, 2026 · 8 min read
Your hires will use AI on day one, so test them with it. A practical guide to AI Sandbox assessments — what a good task looks like, what to actually measure, and how to read strong vs weak signals.
July 21, 2026 · 8 min read
AI fluency is becoming a baseline hiring signal — for support, sales and ops as much as engineering. A practical guide to what it is, how to measure each part of it, and what strong vs weak fluency looks like.
July 21, 2026 · 8 min read
For engineers, prompting isn't a phrasing trick — it's system design plus code review. Specify the constraints, include the tests, read the output, catch the deprecated call. A practical guide with a worked example and how it's assessed.
July 21, 2026 · 8 min read
For analysts, a good prompt is a precise metric definition — and the skill is distrusting the result until it holds up. A practical guide to AI-assisted analysis that doesn't ship a wrong number, with a worked example and how it's assessed.
July 21, 2026 · 7 min read
In support, AI writes the draft — the skill is the edit: grounding it in policy, fixing the tone, cutting the over-promise before it reaches the customer. A practical guide with a worked example and how it's assessed.
July 21, 2026 · 7 min read
AI writes infinite generic outreach — which is why generic outreach died. For SDRs the skill is feeding real context, personalizing, and catching the hallucinated 'fact' before it ships. A practical guide with a worked example and how it's assessed.
July 21, 2026 · 7 min read
A PM can get a spec draft from AI in seconds — the risk is shipping it. The skill is framing the problem well, then catching the flawed assumption and cutting the over-added scope. A practical guide with a worked example and how it's assessed.
July 21, 2026 · 9 min read
Prompt engineering is now a core skill in almost every role — but 'good' looks completely different for an engineer, an analyst, a support agent or an SDR. A practical, per-vertical guide with real use cases.