All field notes

AI red teaming finds different problems from security testing. This playbook covers scoping the exercise, who should participate, the attack categories worth covering, and turning findings into controls rather than a report.

A practical guide for Saudi teams: how saudi companies manage a pakistan development team.

Canadian teams weighing Pakistan vs Mexico: how the two compare on cost, senior talent, time-zone overlap, and delivery reliability.

US teams weighing Pakistan vs Poland: how the two compare on cost, senior talent, time-zone overlap, and delivery reliability.

A practical guide for Swiss teams: pakistan time-zone overlap for swiss companies.

DORA makes operational resilience a supervised obligation for financial entities, and AI systems and their providers sit squarely inside it. This guide covers third-party oversight, testing, and the register duties.

ESG disclosure obligations reach AI in two directions: AI systems consume energy that may need reporting, and AI helps produce disclosures that must be assurance-ready. This guide covers both.

AI incidents do not map neatly onto existing insurance categories, which leaves gaps organisations find at claim time. This guide covers which policies respond, common exclusions, and what to check now.

NIS2 raises cybersecurity obligations for essential and important entities, and AI systems sit inside that scope. This guide covers risk management measures, supply chain duties, and the reporting timelines.

A credible AI business case states the problem and baseline, the solution and scope, full costs, benefits with assumptions, risks and controls, alternatives, and decision criteria. This template covers each section with guidance on evidence, common mistakes, and how to keep the case honest after approval.

Technical product managers for AI products decide what to build, define what correct means, and prioritize under uncertainty. This guide covers what the role owns, the skills to test, interview exercises, engagement models, cost drivers, and the first 90 days.

AI products need documentation for users deciding when to trust the system, auditors verifying claims, and engineers operating it. This guide covers what technical writers produce, the skills to test, interview exercises, engagement models, cost drivers, and the first 90 days.

Test automation engineers build the suites that let teams ship quickly with confidence, and on AI products they extend automation to evaluation suites for probabilistic outputs. This guide covers the skills to test, interview exercises, engagement models, cost drivers, and the first 90 days.

TypeScript developers build typed systems across frontend and backend, and increasingly enforce structure on AI outputs. This guide covers the type-system skills that matter, how to test them, interview exercises, engagement models, cost drivers, and the first 90 days.

UI/UX designers turn workflows into interfaces that are usable, accessible, consistent, and, for AI products, honest about what the system is doing. This guide covers the skills to test, portfolio review, interview exercises, engagement models, cost drivers, and the first 90 days.

Voice AI developers build agents that listen, reason, and speak in real time over phone and app channels. This guide covers what the role does, the skills to test across speech, dialog, latency, and telephony, interview approaches, when you need one, engagement models, and cost drivers.

Web3 developers build the applications that let people and systems interact with blockchains: wallet flows, dApp frontends, contract integration, and indexing. This guide covers the skills to test, interview exercises, engagement models, cost drivers, and the first 90 days.

Most prompt libraries are collections nobody opens. This playbook covers what belongs in one, how to version and test entries, who maintains it, and how to tell whether anyone is actually using it.

Model migrations fail when nobody established what the old model did. This playbook covers building a behavioural baseline, shadow running the candidate, comparing outputs honestly, and cutting over reversibly.

Most AI training programmes teach tools and change nothing. This playbook covers segmenting the audience by task, building curriculum around real work, providing sanctioned tooling, and measuring whether behaviour actually changed.

How Dutch teams run offshore AI development in Pakistan well—overlap, security, IP, and outcomes—without the usual offshoring pitfalls.

How US teams run offshore data engineering in Pakistan well—overlap, security, IP, and outcomes—without the usual offshoring pitfalls.

How Singapore teams run offshore software development in Pakistan well—overlap, security, IP, and outcomes—without the usual offshoring pitfalls.

US teams weighing Pakistan vs the Philippines: how the two compare on cost, senior talent, time-zone overlap, and delivery reliability.