Clowry AIIntelligent, ethical, and user-centric AI solutions.
Tom Clowry, independent AI consultant. I help organisations apply artificial intelligence to improve internal capability and advance professional development.
About Me
I work with organisations on the practical application of AI, drawing on a background in digital learning and platform development. My focus is on turning AI ideas into clear designs and workable plans, particularly where agents, context, and evaluation matter.
In practice, this involves helping teams identify viable use cases, designing the workflows that ensure system reliability, and establishing robust measures for quality and governance. I stay at the forefront of emerging capabilities, translating technical breakthroughs into practical application.
What I Do
I offer a focused suite of services to help organisations apply AI safely and practically.
IMAGINE
A simple framework for applying AI in organisations.
Choose your stage.
Generate options and pick what is worth serious attention.
- Write the problem in one sentence, including who it affects and what “better” means.
- Generate multiple use cases that fit your constraints, then reduce to 3 with clear reasons.
- Include the assumptions behind each option, and what would disprove them quickly
- Draft a simple success measure for each option, even if it is rough.
- If using agents, state up front what would you never automate.
A shortlist of 3 use cases with success measures, assumptions, and stop conditions.
Thinking
Some of my writing on AI strategy, governance, and emerging technology.
Four emerging protocols define how agents connect, coordinate, transact, and pay: MCP and A2A for connection and coordination, ACP and AP2 for commerce and payment.
Untangling Agentic AI Protocols
Context engineering is deciding what the model should read and how it is arranged before it replies, so outputs are grounded, auditable, and less prone to guesswork.
What is Context Engineering?
Google research proposes “Nested Learning”, where different parts of a model adapt at different speeds after deployment, reducing catastrophic forgetting while preserving stable reasoning.
Nested AI - A New Paradigm For Continual Learning
Credentials
- MSc Knowledge-Based Systems, University of Sussex
- Philosophy, Trinity College Dublin
- Oxford Artificial Intelligence Programme
- OxEthica AI Certification
- Fellow of the RSA (FRSA)
- 20+ years in learning design and platform delivery
Get in Touch
Have a project in mind, or just want to say hello? I'd love to hear from you. Drop me an email or find me on LinkedIn.