The Gaps in AI Reasoning
Planning is not just about assembling information, as every case will have its own unique planning history, local development plan policies, material considerations, planning constraints, and surrounding context. A successful planning submission requires careful professional judgement and a complete understanding of how local planning authorities interpret and apply planning policy in practice. These are skills that come from years of professional experience, not automated text generation.
As you may already be aware, most AI models are LLM’s (Large Language Models), meaning that they notice patterns in text and digital information to regurgitate to the user. It is important to know that AI doesn’t think, it just presents you with a collection of text from different corners of the internet that it has reasoned to be the most likely to be relevant.
Because of that, it can produce inaccurate information, rely on outdated guidance, misinterpret planning policy, or fail to appreciate the nuances between different local authorities and jurisdictions.










