Sarah Drummond
Sarah Drummond covers artificial intelligence and emerging technology. She writes about AI tools, model developments, and what the latest advances mean for businesses and consumers in the UK.

Building Better Checklists From Real Work: A Practical Office Guide
A practical framework for building better checklists from real work, with clear actions, documented exceptions, human review and cautious AI…

What Model Collapse Means When AI Trains on AI-Generated Content
Learn what model collapse means, how repeated AI-generated training data can reduce diversity, and which practical controls may help manage…

Why Deepfakes Are Getting Easier: What Real-Time Voice Cloning Means for Fraud
Learn why deepfakes are getting easier, how real-time voice cloning affects fraud risk, and how to verify unexpected requests safely.

The Anti-Hallucination Habit: Keep a Source Box Next to Every Draft
Use the anti-hallucination habit to build a source box, expose evidence gaps and verify factual claims before publishing AI-assisted drafts.

Using AI to Spot Missing Stakeholders and Second-Order Effects
Learn a cautious method for using AI to spot missing stakeholders, frame second-order-effect questions and support accountable human review.

The Myth of One Perfect Prompt: Why Structured Workflows Can Help
Learn why the myth of one perfect prompt falls short, and how staged AI workflows make complex tasks easier to…

A Weekly Update Structure for Clearer Project Status Reports
Learn how to write a weekly project status update that leads with status, separates outcomes from next steps and makes…

AI for Vendor Emails: Firm, Clear and Hard to Misread
Use AI for vendor emails to write clear supplier messages while protecting deadlines, scope, authority and trust with a practical…

AI Workflow Adoption: How to Choose a Workflow That Will Actually Stick
Learn how AI workflow adoption can help small teams choose bounded tasks, add human checks, assign ownership, test results and…

6 July 2026: AI platforms, public-sector deals and agents (AM)
AI Daily explains today’s AI platforms, productivity claims, public-sector deals and agent infrastructure in practical plain English for readers.