GPT-5 watch: a Week 1 readiness pack
October 30, 2025
GPT-5 will arrive with noise, hot takes, and rushed “try it now” activity. This briefing is a standing Week 1 readiness pack you can prepare in advance, then activate on day one without triggering tool sprawl. It covers a safe test bench (accounts, data rules, logging, roles), a five-day evaluation sprint with evidence capture, and a focused set of tasks that reveal meaningful differences versus GPT-4/4.1. You’ll also get the smallest policy and comms updates needed to keep staff aligned and learners protected.
OpenAI DevDay 2025: Monday Action Plan
September 5, 2025
OpenAI DevDay 2025 will generate plenty of excitement, but schools need a calm, evidence-led route from announcements to day-to-day practice. This guide turns DevDay headlines into a one-week evaluation sprint you can run without using pupil data, alongside a short policy addendum and three ready-to-run pilots. You’ll get clear stop/go thresholds, practical tasks for staff, and templates for communicating boundaries to colleagues and parents/carers.
AI in Education: September 2025 stability map
September 3, 2025
September 2025 feels calmer than last year, but not because the technology has stopped moving. What has changed is the pattern: a small set of models and platforms are now “good enough” for everyday school tasks, while the newest features (agents, multimodal media, and complex data flows) remain hard to govern. This stability map sets out what has genuinely settled since spring/summer, what is still volatile, and how UK schools can start the year with calm governance, minimum viable tooling, and evidence capture—rather than another round of pilots that create noise without learning.
AI Copilot Playbook for Timetabling and Cover
August 20, 2025
Timetabling and daily cover are high-stakes operational puzzles, but AI is not a magic solver—and it should not replace your MIS or timetabling engine. This playbook shows how operations teams can use AI as a “copilot” to structure constraints, generate workable options, and stress-test plans before anything is published. You’ll see practical ways to model staff availability, PPA, room features, SEND needs, and policy rules, while keeping decisions auditable with human sign-off. Includes a 30-day pilot plan with success measures and risk controls.
National Curriculum and AI: 2025–26 changes
August 13, 2025
2025–26 brings sharper, more practical expectations for how schools manage AI: clearer boundaries for assessment integrity, more explicit teaching of AI literacy, and stronger evidence that data protection and procurement are under control. This implementation pack turns DfE, Ofqual and JCQ guidance into “what changes on Monday morning”: policy updates, role-based actions, and a printable checklist you can evidence to governors. It is designed for SLT, safeguarding, exams, IT/DPO and subject leaders who need consistency, not more documents.
Back to School AI Toolkit 2025
August 11, 2025
A back-to-school AI plan succeeds when it is small, predictable and safe enough to run during busy weeks. This article sets out a ‘minimum viable’ toolkit for 2025: one assistant, one writing space, one image tool and one accessibility layer, with default privacy settings that reduce risk without blocking useful practice. You’ll also find procurement questions, role-based workflows, and a 30-day rollout checklist designed to prevent tool sprawl and protect staff workload.
UK Results-Season AI Playbook
August 4, 2025
Results season can feel like a rush of numbers, narratives and urgent decisions. This playbook shows departments and SLT how to use AI to turn GCSE and A-level outcomes into actionable teaching priorities—without feeding pupil-identifiable data into tools. You’ll see what to export (and what to strip out), how to spot cohort and subgroup patterns safely, and how to translate question-level weaknesses into reteach sequences, retrieval and targeted practice. It also includes a simple governance checklist and sign-off chain.
Summer Reading Intervention with AI
July 29, 2025
Summer reading can slip quietly, especially for pupils who need extra practice with decoding, fluency and vocabulary. This article sets out a structured, evidence-based intervention that uses AI only behind the scenes as a coach for adults (and, where appropriate, older pupils). You’ll get a 15–25 minute daily routine, dyslexia-friendly adjustments, privacy-safe reading logs, and family scripts that reduce friction. Two ready-to-run pathways (a 10-day boost and a 4-week bridge) include check-ins, prompts, troubleshooting, and a September handover so learning carries back into class.
AI-Enhanced Summer Catch-Up Micro-Cycles
July 16, 2025
Summer catch-up works best when it is small, specific, and visibly effective. This article offers a practical 2–4 week ‘micro-cycle’ model that keeps teachers firmly in charge while using AI to speed up gap diagnosis, generate retrieval practice, and tighten feedback loops. You’ll find minimum-data routines, clear checkpoints, and simple measures that avoid over-testing. It also includes parent/carer communication templates, inclusion adjustments, and device-light options so the programme is workable across diverse settings.
Summer AI CPD Roadmap for September Impact
June 27, 2025
Summer CPD can easily become a scattergun list of courses, webinars and half-read articles that never makes it into classroom practice. This roadmap treats AI learning as a September-ready implementation plan: one course, one event, one reading strand and two tiny classroom pilots. You’ll leave summer with a simple Personal Learning Plan, clear safeguards, and lightweight evidence that stands up in appraisal and SLT conversations within the first three weeks back.
Building AI Foundations for Next Year
June 13, 2025
A strong September start with AI rarely comes from a big launch. It comes from small, agreed foundations: clear rules, shared language, consistent routines, and a tool stack people can actually use. This six-week summer-term “AI foundations sprint” turns end-of-year audit findings into practical infrastructure: a one-page policy addendum, student norms, staff micro-routines, a governed prompt library, and a light-touch curriculum map showing where AI is permitted, taught, and assessed.
Results Day War Room: AI Scenario Planning
June 6, 2025
Results day is equal parts data, logistics and duty of care. This “war room” playbook shows how to use AI responsibly to turn historic attainment, grade distributions and operational constraints into three scenario plans: best, expected and worst. You’ll build a small, explainable indicator set, prepare staffing and communications runbooks, and set a mandatory human sign-off chain for any risk flag, intervention list or appeal recommendation.
End-of-Year AI Audit: Evidence Pack
May 29, 2025
An end-of-year AI audit helps schools move from scattered pilots to clear, defensible decisions. This guide shows how to produce an “evidence pack” for governors and SLT: a simple register of every AI trial, a keep/stop/scale decision for each, and the minimum evidence needed to justify it. You’ll also leave with a summer-ready action plan, with owners, timelines, procurement steps and policy updates. The aim is to protect staff time, improve pupil outcomes, and tighten safeguarding and data protection without slowing innovation.
Tackling the marking mountain with AI
May 6, 2025
End-of-year marking often fails not because teachers lack expertise, but because consistency is hard to maintain at speed. A moderation-first AI workflow flips the usual approach: you standardise how the rubric is interpreted before any feedback is generated, then use AI for first-pass comment batches and consistency checks across classes. Grades remain human-set, and pupil data is minimised through anonymised evidence packs and local templates. This article offers a practical, low-risk process you can roll out in a week.
Exam-Season AI Traffic Lights for Schools
May 2, 2025
Exam season is when AI rules most often unravel: different teachers say different things, students guess what’s allowed, and well-meaning support can tip into malpractice. This one-page “AI traffic-light” boundary system gives a shared language for revision, homework, coursework/NEA, controlled assessment and exams. You’ll get clear permitted/restricted/prohibited uses, quick ways to introduce the system in five minutes, ready-to-say scripts for staff, students and families, and integrity checks that work even when you can’t reliably “detect AI”.