October 2026
Presentations
- Practical AI for private practice24 October 2026A four-hour online masterclass for rehabilitation clinicians in the Kinatex network, run as four hands-on sessions on patient education, professional development, admin and business, and closing with patients who bring their own AI into the clinic.
Posts
- What's new in Path, and a call for testers20 October 2026Since July, Path has added an HCPC CPD profile export, the CSP Career Framework, link evidence, an achievement record, Trash and version history, and a complete export. I'm looking for more people to test it, with the understanding that things will almost certainly break.
- AI infrastructure for academics: how earlier work makes later requests simple6 October 2026I gave an AI agent two YouTube links and one sentence, and it returned two catalogued conference talks with slides, transcripts, and appraisal notes attached in Zotero. The request was short because months of earlier work sat behind it, including a fix from March and a tool from September. This post describes that session and an earlier one, and what they show about the difference between using AI to finish a task and using it in a way that leaves your system more capable than before.
Notes
- Sanctuary strategies21 October 2026Sanctuary strategies are common responses to AI in health professions practice and education, among them denial, retreat, restriction, and resignation. Each stakes professional value on what AI can't yet do, or on keeping it out.
- AI fluency1 October 2026AI fluency is the ability to work with AI systems in ways that are effective, efficient, ethical, and safe. The AI Fluency Framework describes it as four connected competencies: delegation, description, discernment, and diligence. It builds on AI literacy and goes further, into the practice of working with AI on real tasks.
- Processing fluency1 October 2026Processing fluency is the ease with which the mind takes in information. People read that ease as a sign that something is true, familiar, or good, which is why fluent AI-generated text is persuasive whatever its accuracy, and why markers who equate clear writing with clear thinking need to separate the two.