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Notes from the build

Notes on building smarter software.

Practical thinking on AI, ERP, product teams and data from the engineers who build them.

Featured · AI engineering · 7 min read

From AI demo to production: where projects stall and how to avoid it

Most AI pilots look good in a demo and then stall. The reasons are rarely the model. Here is what we check before building anything.

AI in operations6 min read

Five AI use cases operations teams can run within weeks

You do not need a data science team to benefit from AI. These five use cases work on the systems most growing businesses already have.

AI for product teams7 min read

Adding AI features to your SaaS without derailing the roadmap

Customers expect AI in the products they pay for. Here is how product teams can ship it without stopping everything else.

Custom ERP or off-the-shelf? A practical guide for growing manufacturers

Off-the-shelf ERP is fast to start and slow to fit. Custom ERP fits from day one but must be planned well. Here is how to decide.

Engineering teams5 min read

Dedicated team or staff augmentation: which model fits your product?

Both models add engineers. They differ in who owns delivery. Here is how to choose, and when to switch.