Topic archive
Responsible use of AI at work and in freelancing: workflows, costs, quality control, client transparency, and realistic economics without easy-money claims.
The AI Omnibus moved the deadlines for two groups of high-risk AI systems, but not Article 50. Here are the new 2027–2028 dates, the narrow 2 December transition, and the transparency rules applying from 2 August.
From 2 August 2026, Article 50 of the AI Act introduces specific rules for AI chat interfaces, machine-readable marking, deepfakes, and certain public-interest text. This guide explains what a small organisation should actually check—without panic or indiscriminate labelling.
A short policy should say which data must never be uploaded, where human review is mandatory, which tools are approved, and who owns the result.
Clients do not pay for the number of prompts. They pay for a solved problem, verification, judgment, and accountability. Price scope, risk, revision, and support.
AI can improve structure and presentation, but every case study should show real work, real decisions, clear limitations, and a result you can defend.
Calculate the full subscription cost, time saved, review effort, and break-even point to decide whether a paid AI tool genuinely pays for itself.
Use AI for research, drafts, and quality control without exposing confidential data or giving up responsibility for the final client deliverable.
AI can speed up parts of paid work, but it does not replace expertise, accountability, or finding clients. Explore realistic income models and risks.
