# demystifAI
> Thoughts and lessons from using AI in Financial Services
Public Ghost content for AI and LLM tooling. Use `/llms-full.txt` for consolidated page and post context.
Append `.md` to any post or page URL to get the content in Markdown (for example, `/example-post.md`).

## Pages
- [About](https://demystifai.info/about.md) - Which applications of artificial intelligence survive contact with a regulated institution - a legacy data estate, an audit trail, and a delivery plan that has to hold? That question is the reason demystifAI exists. The field does not suffer from a shortage of enthusiasm. It suffers from a shortage…
- [altabric](https://demystifai.info/altabric.md) - What would it take for artificial intelligence agents and human experts to work inside the same governed process, rather than in separate systems that meet only at a status report? altabric is an answer to that question in the form of a product. It is AI for change: a delivery platform that places…
- [AI glossary](https://demystifai.info/glossary.md) - Which words in a discussion about artificial intelligence are doing real work, and which are doing marketing? This glossary defines the terms that recur across demystifAI in plain language, with an emphasis on what each one means in practice for a financial institution. It is a living page, and it…
- [Start here](https://demystifai.info/start-here.md) - Where should a reader begin with a publication about artificial intelligence in financial services? demystifAI is organised around four pillars. Each answers a different question, and together they run from the single use case to enterprise change. Begin with the pillar closest to the problem in fr…

## Posts
- [On praise inflation](https://demystifai.info/on-praise-inflation.md) - Millennials have long been accused of being a little sensitive; an accusation as old as the world itself one might say, nevertheless workplaces have adapted by introducing more supportive policies, softer feedback and greater consideration for how people feel.
- [AI and the power of the Logos](https://demystifai.info/ai-and-the-power-of-the-logos.md) - You may have seen Richard Dawkins getting spooked by Claude (or Claudia, as he calls it) and wondering whether such machines are sentient.
- [Have AI watch your blind spots](https://demystifai.info/have-ai-watch-your-blind-spots.md) - Reference data is usually maintained where its absence stops work. It decays where retirement creates no immediate alarm. AI may make the search for that decay cheap enough to do before it becomes an expensive correction.
- [Which client, which product, which account?](https://demystifai.info/di-2-which-client.md) - Banks have invested heavily in cleaning client data over the years, and it shows: the client level record is mostly clean.
- [Use AI to fix the data](https://demystifai.info/use-ai-to-fix-the-data.md) - The received wisdom says that banks must fix their data before building up AI solutions. Thirteen years of Basel Committee reporting suggest following this advice is a Sisyphean task, because the data never gets right.
- [Puzzle experiment - the data](https://demystifai.info/sixteen-models-one-block-puzzle.md) - We gave sixteen vision-capable frontier models the same block-puzzle screenshot and the same instructions. Only three actually solved it - here is who, and what it cost.
- [Puzzled by AI](https://demystifai.info/puzzled-by-ai.md) - I gave sixteen of the most capable AI models a Block Blast! puzzle, and only three solved it. A close look at what worked, what did not, and why fluent answers can hide a misread board.

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