Engineering notes
How we build AI-generated, quality-gated hiring assessments — the architecture, the trade-offs, and the honest parts.
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July 23, 2026 · 10 min read
How to hire a UX designer in 2026: review portfolios past the polish, run a flow-critique work sample, and score research literacy — not pixels.
July 23, 2026 · 10 min read
Illinois AI hiring law explained: the AI Video Interview Act plus HB 3773's 2026 Human Rights Act amendments, and how to run a compliant AI assessment process.
July 23, 2026 · 9 min read
Prompt engineering for recruiters: copy-ready prompts for intake specs, boolean search, outreach at scale, screening notes, and bias-checked questions.
July 23, 2026 · 9 min read
Remote hiring in 2026, end to end: global sourcing, async work-sample assessment, structured remote interviews, integrity checks, and cross-border basics.
July 23, 2026 · 9 min read
Take-home assignment vs live coding: what each format really measures, the candidate-experience and AI-cheating tradeoffs, and the hybrid that beats both.
July 23, 2026 · 9 min read
Colorado AI Act hiring rules changed in 2026: SB 24-205 was repealed before taking effect and replaced by SB 26-189. What hiring teams must do before 2027.
July 23, 2026 · 10 min read
AI-generated resumes are now the baseline, not the exception. Why detection tools fail, which tells actually matter, and how to screen on demonstrated skills.
July 22, 2026 · 9 min read
'AI fluency' is too vague to hire on. The 4D framework breaks it into Delegation, Description, Discernment and Diligence — four skills you can assess.
July 22, 2026 · 9 min read
How to hire a customer support representative — the skills that predict success, a role-specific work sample, and structured interviews that work.
July 22, 2026 · 9 min read
A practical guide on how to hire a data analyst in 2026 — the skills that predict success, a real work sample, AI-fluency signals, and the questions that work.
July 22, 2026 · 9 min read
How to hire a data engineer without being fooled by a polished CV — a skills-first guide to work samples, pipelines, data-quality traps, and AI fluency.
July 22, 2026 · 9 min read
A practical guide on how to hire a DevOps engineer — what to assess, the work sample that predicts success, interview questions, and green and red flags.
July 22, 2026 · 9 min read
A skills-first guide to how to hire a forward deployment engineer: what to assess, the work sample to run, and the AI-native signals that predict success.
July 22, 2026 · 9 min read
A skills-first guide on how to hire a machine learning engineer: what to assess, the work sample that predicts production success, and questions that work.
July 22, 2026 · 8 min read
A skills-first guide on how to hire a product manager: what a great PM does, the skills that predict success, and a work sample that reveals judgement.
July 22, 2026 · 8 min read
A practical guide on how to hire a recruiter: the skills that predict success, a work-sample process, AI-fluency signals, and interview questions that work.
July 22, 2026 · 9 min read
A skills-first guide on how to hire a sales development representative — what to assess, the work sample that predicts booked meetings, and questions that work.
July 22, 2026 · 9 min read
How to hire an account executive who actually closes — discovery, forecasting, role-specific work samples, AI fluency, and interview questions that predict wins.
July 22, 2026 · 9 min read
A practical, skills-first guide on how to hire an operations analyst — what to assess, the work sample that predicts success, and interview questions that work.
July 21, 2026 · 10 min read
AI-native hiring is the new buzzword, but most tools just bolt a chatbot onto a legacy product. What AI-native hiring means and how to spot the real thing.
July 21, 2026 · 8 min read
How to assess AI fluency in hiring: what to measure, how to score each part, what strong vs weak looks like, and the tasks that reveal real judgement.
July 21, 2026 · 9 min read
Prompt engineering for software engineers is system design plus code review: specify constraints, include the tests, read the output, catch the deprecated call.
July 21, 2026 · 9 min read
Prompt engineering for data analysts is a precise metric definition plus the discipline to distrust the result until it reconciles. Why the number is the risk.
July 21, 2026 · 10 min read
Prompt engineering for customer support is really editing: grounding the AI draft in policy, fixing tone, and cutting the over-promise before it ships.