Ease into AI
Stories from AI running inside companies that were not built for it.
Is today going to be the day you start? It gets easier once you get started.
Playbooks
DraftAutomation
How to roll out skills across your company
Bottom up and top down, why your model provider's marketplace is the wrong long-term home, how to write a skill and grade every version, where Claude, ChatGPT, Gemini and Copilot stand on skills today, and how teiō runs its own.
DraftGetting started
How to pick the first thing you build
The first build decides whether there is a second one. What makes a good candidate, what to keep away from, and what the first quarter actually looks like.
Stories
Going from codes to concepts: building an ontology in healthcare
Why a semantic layer runs out in healthcare, what an ontology does instead, and a working service that maps 105,000 conditions to one concept.
How hedge funds are building a context layer around Excel
Why Excel, documents and email resist AI, how a hedge fund kept every spreadsheet and got a data platform anyway, and what becomes possible once the data sits underneath.
Build vs buy: How AI is changing how we think about managing risk
Why buying off the shelf was always a risk decision, what changes when building gets cheap, and the three ways of implementing AI in your organisation.
Going from trust to proof: How AI is changing operations
Why operations scale by hiring people to check people, how a photo now proves a class happened, and what automated itself once the records were clean.
Going from centralized to hybrid: How teiō uses AI part III
Why we stopped building the OS centrally, how business teams now ship their own branches, and when to make the switch.
Going multimodal: How teiō uses AI part II
Ask AI on WhatsApp, proposals built by speaking, live documents on calls, and the context engine for audio.
Context is king: How teiō uses AI
Why we don't use any external tools, a tour of the internal operating system, and how we're opening this up.