When No-Code Stops Scaling and Custom AI Takes Over
It's your fastest way to discover whether a workflow deserves custom software.
Oct 9, 20267 min read
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OCR Gets You Text. LLMs Get You Data.
The biggest mistake in document automation is expecting one technology to solve every problem. OCR and LLMs aren't competitors. They're different stages of the same pipeline.
Oct 8, 20265 min read
The Best Invoice Processing System Uses OCR and LLMs for Different Reasons
The debate between OCR and LLMs usually starts with technology. It should start with your documents. The right architecture depends less on the model you choose and more on how predictable your invoices actually are.
Oct 7, 20265 min read
The Best Engineering Teams Know What Not to Build In-House
The outsourcing versus in-house debate assumes one team should own everything. Most successful software companies don't work that way. They deliberately decide which knowledge must stay internal and which execution can be shared.
Oct 6, 20265 min read
Outsourcing vs. In-House Isn't One Decision. It's Five.
Most teams compare hiring models as if the entire engineering organization has to follow one rule. In reality, different kinds of work deserve different ownership.
Oct 5, 20263 min read
We Stopped Treating Outsourcing as a Hiring Decision
The biggest lesson from working with different engineering teams wasn't whether outsourcing worked. It was realizing we kept asking the wrong question.
Oct 1, 20264 min read
The Most Important PCI DSS Decision Happens Before You Write Any Code
Every payment application eventually faces the same architectural choice: should your servers ever handle raw card data? That single decision determines almost everything that follows.
Sep 30, 20265 min read
Privacy Is a Data Modeling Problem, Not a Legal Problem
Teams usually discover privacy requirements when someone asks for a cookie banner or a privacy policy. By then, the database has already been designed, APIs have already been written, and personal data is flowing through the system.
Sep 29, 20265 min read
The Most Valuable Prototype Is the One That Proves You're Wrong
Many teams treat a proof of concept as the first version of the product. That's usually a mistake. A good POC isn't trying to prove the product will work. It's trying to prove your biggest assumption won't.
Sep 28, 20265 min read