build vs buy
Off-the-shelf AI tool vs Custom ML build
When a SaaS AI tool is the right answer and when you need a custom model. Cost, time to value, data fit, explainability and lock-in compared.
Compare →model selection
Gradient boosting vs LLM scoring
Why tabular decisions - churn, lead scoring, risk - belong to gradient boosting, not a language model. Plus where an LLM genuinely wins.
Compare →team structure
In-house ML team vs ML agency
Hiring ML engineers versus contracting an agency - real cost, time to first model, bus factor, retention risk, and the hybrid that beats both.
Compare →retention stack
Off-the-shelf retention CRM vs Custom scoring into your CRM
Off-the-shelf retention platforms versus a custom scoring layer into your existing CRM. Integration, cohort versus per-player, compliance.
Compare →channel choice
Classic SEO vs GEO
Generative engine optimization against classic search - what each buys you, how they are measured, and when spending on GEO first is a mistake.
Compare →