
AI & Search
Vector database vs graph database for AI: how to choose
Compare vector and graph databases for RAG and AI applications. Choose based on retrieval questions, relationship checks, data ownership and evaluation.
How buyers and answer engines find a store, and what has to be true on the page before either one sends anyone.
GEO and AEO in plain words for a Shopify brand: what an AI answer needs from your product and collection pages, what we change, how you measure it, and what nobody can promise.


AI & Search
Compare vector and graph databases for RAG and AI applications. Choose based on retrieval questions, relationship checks, data ownership and evaluation.

AI & Search
Build a RAG pipeline for grounded AI answers. Plan ingestion, access filtering, citations, source updates and evaluation before moving beyond a prototype.

AI & Search
Compare star and snowflake schemas for AI analytics. Understand grain, joins, historical accuracy and semantic-layer controls before redesigning your warehouse.

AI & Search
We sent 211 Upwork proposals in six months and not one carries a Hired status. This is the story of what we did about it: the five questions we wrote down, the first run that cost eight cents, the test that showed our own bids were the problem, and the card the team now sees every morning.

AI & Search
Learn how a semantic layer gives AI agents and BI tools governed metrics. Define business meaning, valid joins, access rules and evidence for answers.

AI & Search
Jev SEO is our pre-publication review: a script asks TypeSafe AI Jev 36 fixed questions about each draft, code counts what code can count, and the editor decides. Here is what it catches, what it misses, and the workflow.

AI & Search
Use TypeSafe AI Jev to select one relevant, evidence-backed reason to contact an account, then hand the decision to a person for copy, approval and delivery.

AI & Search
TypeSafe AI Jev helps a workflow select a defined next step from the evidence and options supplied. See where it fits, what remains with people, and how to scope a useful first integration.

AI & Search
SEO got smarter Search is no longer about matching words. It is about clear meaning. Large Language Models change how engines read content and how people search. They move SEO from a technical checklist to a simple system of meaning, proof, and structure. From keywords to context. From rankings to r

AI & Search
SEO wins the click, AEO wins the extracted answer, GEO wins the citation. Work them in that order. Here is what each one costs a Shopify store, who owns it, and the measured numbers behind the choice.

AI & Search
Let an agent read, draft and summarise on its own. Gate every write that touches an order, a price, inventory or a customer record behind a named person. Here is the line, action by action, with the Shopify scope each one needs and how long you have to undo it.
Run the free diagnostic to identify conversion, performance, and measurement leaks before you scope an engineering engagement.